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SPIRES-BOOKS: FIND KEYWORD INSURANCE *END*INIT* use /tmp/qspiwww.webspi1/10287.242 QRY 131.225.70.96 . find keyword insurance ( in books using www Cover
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Call number:9783319513133:ONLINE Show nearby items on shelf
Title:Analytical Methods in Statistics AMISTAT, Prague, November 2015
Author(s):
Date:2017
Size:1 online resource (IX, 207 p. 12 illus., 4 illus. in color p.)
Contents:Preface -- A Weighted Bootstrap Procedure for Divergence Minimization Problems (Michel Broniatowski) -- Asymptotic Analysis of Iterated 1-step Huber-skip M-estimators with Varying Cut-offs (Xiyu Jiao and Bent Nielsen).-Regression
Quantile and Averaged Regression Quantile Processes (Jana Jurečková) -- Stability and Heavy-tailness (Lev B. Klebanov) -- Smooth Estimation of Error Distribution in Nonparametric Regression under Long Memory (Hira L. Koul and Lihong
Wang) -- Testing Shape Constrains in Lasso Regularized Joinpoint Regression (Matúš Maciak) -- Shape Constrained Regression in Sobolev Spaces with Application to Option Pricing (Michal Pešta and Zdeněk Hlávka) -- On Existence of
Explicit Asymptotically Normal Estimators in Non-Linear Regression Problems (Alexander Sakhanenko) -- On the Behavior of the Risk of a LASSO-Type Estimator (Silvelyn Zwanzig and M. Rauf Ahmad)
ISBN:9783319513133
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Statistics , Probabilities , Statistics , Statistical Theory and Methods , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:9781493965724:ONLINE Show nearby items on shelf
Title:Statistics and Analysis of Scientific Data
Author(s): Massimiliano Bonamente
Date:2017
Edition:2nd ed. 2017
Size:1 online resource (XVII, 318 p. 40 illus., 4 illus. in color p.)
Contents:Theory of Probability -- Random Variables and Their Distribution -- Sum and Functions of Random Variables -- Estimate of Mean and Variance and Confidence Intervals -- Median, Weighted Mean and Linear Average (NEW) -- Distribution
Function of Statistics and Hypothesis Testing -- Maximum Likelihood Fit to a Two-Variable Dataset -- Goodness of Fit and Parameter Uncertainty -- Systematic Errors and Intrinsic Scatter (NEW) -- Fitting Data with Bivariate Errors (NEW)
-- Comparison Between Models -- Monte Carlo Methods -- Markov Chains and Monte Carlo Markov Chains -- Statistics for Business Sciences and Addition of Multi–Variate Analysis (NEW)
ISBN:9781493965724
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , System theory , Statistics , Applied mathematics , Engineering mathematics , Physics , Mathematical Methods in Physics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Business/Economics/Mathematical Finance/Insurance , Appl.Mathematics/Computational Methods of Engineering , Complex Systems , Statistical Physics and Dynamical Systems
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Call number:1848218834:ONLINE Show nearby items on shelf
Title:Asset and Liabilities Management for Banks and Insurance Companies
Author(s): Corlosquet-Haba
Date:2015
Publisher:Wiley-ISTE
Size:1 online resource (167 p.)
ISBN:9781848218833
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Mathematics
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Call number:1118118391:ONLINE Show nearby items on shelf
Title:Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk
Author(s): Cruz
Date:2015
Publisher:Wiley
Size:1 online resource (929 p.)
ISBN:9781118118399
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0471959251:ONLINE Show nearby items on shelf
Title:Stochastic Processes for Insurance and FinanceoBook
Author(s): Rolski
Date:1999
Publisher:Wiley
Size:1 online resource (681 p.)
ISBN:9780471959250
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0471716421:ONLINE Show nearby items on shelf
Title:Introductory Stochastic Analysis for Finance and Insurance, Online Version
Author(s): Lin
Date:2006
Publisher:Wiley-Interscience
Size:1 online resource (249 p.)
ISBN:9780471716426
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:SPRINGER-2016-9789811008719:ONLINE Show nearby items on shelf
Title:Complex Surveys Analysis of Categorical Data
Author(s): Parimal Mukhopadhyay
Date:2016
Size:1 online resource (248 p.)
Note:10.1007/978-981-10-0871-9
Contents:Chapter 1. Preliminaries -- Chapter 2. The Design-Effects and Mis-Specification Effects -- Chapter 3. Some Classical Models in Categorical Data Analysis -- Chapter 4. Analysis of Categorical Data under a Full Model -- Chapter 5. Analysis of Catego rical Data under Log-Linear Models -- Chapter 6. Analysis of Categorical Data under Logistic Regression Model -- Chapter 7. Analysis in the Presence of Classification Errors -- Chapter 8. Approximate MLE’s from Survey Data
ISBN:9789811008719
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2016-9789811004018:ONLINE Show nearby items on shelf
Title:Applied Statistics for Social and Management Sciences
Author(s): Abdul Quader Miah
Date:2016
Edition:1st ed. 2016
Size:1 online resource (444 p.)
Note:10.1007/978-981-10-0401-8
Contents:1: Basics -- 2: Presentation of Statistical Data -- 3: Descriptive Statistics -- 4: Probability Theory -- 5: Probability Distributions -- 6: Statistical Inference -- 7: Hypothesis Testing -- 8: The Chi-Square Test -- 9: Non-Parametric Test -- 10: C orrelation -- 11: Simple Regression -- 12: Multiple Regression -- 13: Sampling Theory -- 14: Determination of Sample Size -- 15: Index Numbers -- 16: Analysis of Financial Data -- 17: Experimental Design -- 18: Statistical Quality Control -- 19: Summary f or Hypothesis Testing
ISBN:9789811004018
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistical Theory and Methods
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Call number:SPRINGER-2016-9783662493496:ONLINE Show nearby items on shelf
Title:Statistics for Non-Statisticians
Author(s): Birger Stjernholm Madsen
Date:2016
Edition:2nd ed. 2016
Size:1 online resource (44 p.)
Note:10.1007/978-3-662-49349-6
Contents:Preface -- 1 Data Collection -- 2 Presentation of Data -- 3 Description of Data -- 4 The Normal Distribution -- 5 Analysis of Qualitative Data -- 6 Error Sources and Planning -- 7 Assessment of Relationship -- 8 Comparing Two Groups -- 9 Appendices -- Index
ISBN:9783662493496
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Statistical Theory and Methods
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Call number:SPRINGER-2016-9783319318226:ONLINE Show nearby items on shelf
Title:Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Author(s): Estela Bee Dagum
Date:2016
Size:1 online resource (10 p.)
Note:10.1007/978-3-319-31822-6
Contents:Introduction -- Time Series Components -- Part I: Seasonal Adjustment Methods -- Seasonal Adjustment: Meaning, Purpose and Methods -- Linear Filters Seasonal Adjustment Methods: Census Method II and its Variants -- Seasonal Adjustment Based on ARIM A Decomposition: TRAMO-SEATS -- Seasonal Adjustment Based on Structural Time Series Models -- Part II: Trend-Cycle Estimation -- Trend-Cycle Estimation -- Further Developments on the Henderson Trend-Cycle Filter -- A Unified View of Trend-Cycle Predictors in Reproducing Kernel Hilbert Spaces (RKHS) -- Real Time Trend-Cycle Prediction -- The Effect of Seasonal Adjustment on Real-Time Trend-Cycle Prediction -- Glossary
ISBN:9783319318226
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Probabilities , Econometrics , Macroeconomics , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistical Theory and Methods , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Macroeconomics/Monetary Economics//Financial Economics , Probability Theory and Stochastic Processes , Econometrics
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Call number:SPRINGER-2016-9783319304175:ONLINE Show nearby items on shelf
Title:Statistical Methods and Applications in Insurance and Finance CIMPA School, Marrakech and El Kelaa M'gouna, Morocco, April 2013
Author(s):
Date:2016
Size:1 online resource (3 p.)
Note:10.1007/978-3-319-30417-5
Contents:1 Frederi Viens: A didactic introduction to risk management via hedging in discrete and continuous time -- 2 M’hamed Eddahbi and Sidi Mohamed Lalaoui Ben Cherif: Sensitivity analysis for time–inhomogeneous L´evy process: A Malliavin calculus ap proach and numeric -- 3 Nicolas Privault and Dichuan Yang: Variance-GGC asset price models and their sensitivity analysis -- 4 Josep Vives: Decomposition of the pricing formula for stochastic volatility models based on Malliavin-Skorohod type calculus -- 5 Boualem Djehiche: Statistical estimation techniques in life and disability insurance -A short overview -- 6 AbdulRahman Al-Hussein: Necessary and sufficient conditions of optimal control for infinite dimensional SDEs -- 7 AbdulRahman Al-Hussein and Boul akhras Gherbal: Sufficient conditions of optimality for forward-backward doubly SDEs with jumps -- 8 Mohsine Benabdallah, Siham Bouhadou, Youssef Ouknine: On the pathwise uniqueness of solutions of one-dimensional stochastic differential
equations with jumps -- 9 E. H. Essaky and M. Hassani: BSDE Approach for Dynkin Game and American Game Option
ISBN:9783319304175
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 158
Keywords: Mathematics , Insurance , Risk management , Economics, Mathematical , Statistics , Mathematics , Quantitative Finance , Statistics for Business/Economics/Mathematical Finance/Insurance , Risk Management , Insurance
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Call number:SPRINGER-2016-9783319301907:ONLINE Show nearby items on shelf
Title:Rabi N. Bhattacharya Selected Papers
Author(s):
Date:2016
Size:1 online resource (711 p.)
Note:10.1007/978-3-319-30190-7
Contents:Part I: Modes of Approximation -- Hall, Contributions of Rabi Bhattacharya to the Central Limit Theory and Normal Approximation -- Yoshida, Asymptotic Expansions for Stochastic Processes -- Shao, An Introduction to Normal Approximation -- Reprints - - Part II: Large Time Asymptotics for Markov Processes I: Diffusion -- Varadhan, Martingale Methods for the Central Limit Theorem -- Kurtz, Ergodicity and Central Limit Theorems for Markov Processes -- Reprints -- Part III: Large Time Asymptotics for Mark ov Processes II: Dynamical Systems and Iterated Maps -- Athreya, Dynamical Systems, IID Random Iterations, and Markov Chains -- Waymire, Random Dynamical Systems and Selected Works of Rabi Bhattacharya -- Reprints -- Part IV: Stochastic Foundations in App lied Sciences I: Economics -- Kamihigashi, Stachurski, Stability Analysis for Random Dynamical Systems in Economics -- Roy, Some Economic Applications of Recent Advances in Random Dynamical Systems -- Reprints -- Part V: Stochastic
Foundations in Applied Sciences II: Geophysics -- Thomann, Waymire, Advection-Dispersion in Fluid Media and Selected Works of Rabi Bhattacharya -- Flandoli, Romito, Cascade Representations for the Navier-Stokes Equations -- Reprints -- Part VI: Stoc hastic Foundations in Applied Sciences III: Statistics -- Dryden, Le, Preston, Wood, Nonparametric Statistical Methods on Manifolds -- Huckemann, Hotz, Nonparametric Statistics on Manifolds and Beyond -- Reprints
ISBN:9783319301907
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2016-9783319297767:ONLINE Show nearby items on shelf
Title:Modelling in Life Insurance – A Management Perspective
Author(s):
Date:2016
Size:1 online resource (38 p.)
Note:10.1007/978-3-319-29776-7
Contents:Paradigms in life insurance -- About market consistent valuation in insurance -- Cash flow projection models -- Economic scenario generators -- From internal to ORSA models -- Building a model: practical implementation -- Ex-ante model validation a nd back-testing -- The threat of model risk for insurance companies -- Meta-models and consistency issues -- Model feeding & Data Quality -- The role of models in management decision making -- Models and behaviour of stakeholders
ISBN:9783319297767
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Insurance , Economics, Mathematical , Actuarial science , Statistics , Mathematics , Quantitative Finance , Actuarial Sciences , Statistics for Business/Economics/Mathematical Finance/Insurance , Insurance
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Call number:SPRINGER-2016-9783319296791:ONLINE Show nearby items on shelf
Title:Stochastic Models with Power-Law Tails The Equation X = AX + B
Author(s): Dariusz Buraczewski
Date:2016
Size:1 online resource (5 p.)
Note:10.1007/978-3-319-29679-1
Contents:Introduction -- The Univariate Case -- Univariate Limit Theoru -- Multivariate Case -- Miscellanea -- Appendices
ISBN:9783319296791
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Economic theory , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-2016-9783319287256:ONLINE Show nearby items on shelf
Title:Time Series Analysis and Forecasting Selected Contributions from the ITISE Conference
Author(s):
Date:2016
Size:1 online resource (49 p.)
Note:10.1007/978-3-319-28725-6
Contents:Main Topics: Time Series Analysis and Forecasting -- Advanced method and on-Line Learning in time series -- High Dimension and Complex/Big Data -- Forecasting in real problem
ISBN:9783319287256
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Mathematical statistics , Econometrics , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Econometrics , Probability and Statistics in Computer Science
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Call number:SPRINGER-2016-9783319285993:ONLINE Show nearby items on shelf
Title:Multivariate Time Series With Linear State Space Structure
Author(s): Víctor Gómez
Date:2016
Size:1 online resource (541 p.)
Note:10.1007/978-3-319-28599-3
Contents:Preface -- Computer Software -- Orthogonal Projection -- Linear Models -- Stationarity and Linear Time Series Models -- The State Space Model -- Time Invariant State Space Models -- Time Invariant State Space Models With Inputs -- Wiener–Kolmogor ov Filtering and Smoothing -- SSMMATLAB -- Bibliography -- Author Index -- Subject Index
ISBN:9783319285993
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Probabilities , Econometrics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Econometrics , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2016-9783319283418:ONLINE Show nearby items on shelf
Title:Statistics for Mathematicians A Rigorous First Course
Author(s): Victor M Panaretos
Date:2016
Size:1 online resource (15 p.)
Note:10.1007/978-3-319-28341-8
Contents:Foreword -- Regular Probability Models -- Sampling From Probability Distributions -- Point Estimation of Model Parameters -- Tests of Hypotheses for Model Parameters -- Confidence Intervals for Model Parameters -- Appendix -- Bibliography
ISBN:9783319283418
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Probabilities , Statistics , Statistical Theory and Methods , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes
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Call number:SPRINGER-2016-9783319272740:ONLINE Show nearby items on shelf
Title:Topics in Theoretical and Applied Statistics
Author(s):
Date:2016
Size:1 online resource (18 p.)
Note:10.1007/978-3-319-27274-0
Contents:Part I Statistical Theory and Methods -- Part II Data Mining and Multivariate Data Analysis -- Part III Sampling and Estimation Methods -- Part IV Social Statistics, Demography and Health Data -- Part V Economic Statistics and Econometrics.
ISBN:9783319272740
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Demography , Statistics , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Demography
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Call number:SPRINGER-2014-9783642376320:ONLINE Show nearby items on shelf
Title:Fluctuations of Lvy Processes with Applications [electronic resource] : Introductory Lectures
Author(s): Andreas E Kyprianou
Date:2014
Edition:2nd ed. 2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Lvy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around which a robust mathematical theory exists. Their application appears in the theory of many areas ofclassical and modern stocha stic processes including storage models, renewal processes, insurance risk models, optimal stopping problems, mathematical finance, continuous-state branching processes and positive self-similar Markovprocesses. This textbook is based on a series of gradu ate courses concerning the theory and application of Lvy processes from the perspective of their path fluctuations. Central to the presentation is the decomposition of paths interms of excursions from the running maximum as well as an understanding of sho rt- and long-term behaviour. The book aims to be mathematically rigorous while still providing an intuitive feel for underlying principles. The results andapplications often focus on the case of Lvy processes with jumps in only one direction, for which re cent theoretical advances have yielded a higher degree of mathematical tractability. The second edition additionally addresses recentdevelopments in the potential analysis of subordinators, Wiener-Hopf theory, the theory of scale functions and their appli cation to ruin theory, as well as including an extensive overview of the classical and modern theory of positiveself-similar Markov processes. Each chapter has a comprehensive set of exercises. Andreas Kyprianou has a degree in Mathematics from the Univer sity of Oxford and a Ph.D. in Probability Theory from The University of Sheffield. He iscurrently a Professor of Probability at the University of Bath, having held academic positions in Mathematics and Statistics Departments at the London School of Econom ics, Edinburgh University, Utrecht University and Heriot-WattUniversity, besides working for nearly two years as a research mathematician in the oil industry. His research is focused on pure and a
Contents:Lvy Processes and Applications
The LvyIt Decomposition and Path Structure
More Distributional and Path
Related Properties
General Storage Models and Paths of Bounded Variation
Subordinators at First Passage and Renewal Measures
The WienerHopf Factorisation
Lvy Processes at First Passage
Exit Problems for Spectrally Negative Processes
More on Scale Functions
Ruin Problems and Gerber
Shiu Theory
Applications to Optimal Stopping Problems
Continuous
State Branching Processes
Positive Self
similar Markov Processes
Epilogue
Hints for Exercises
ISBN:9783642376320
Series:eBooks
Series:SpringerLink
Series:Universitext, 0172-5939
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319081298:ONLINE Show nearby items on shelf
Title:Tychastic Measure of Viability Risk [electronic resource]
Author(s): Jean-Pierre Aubin
Luxi Chen
Olivier Dordan
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book presents a forecasting mechanism of the price intervals for deriving the SCR (solvency capital requirement) eradicating the risk during the exercise period on one hand, and measuring the risk by computing the hedgingexit time function assoc iating with smaller investments the date until which the value of the portfolio hedges the liabilities on the other. This information, summarized under the term tychastic viability measure of risk is anevolutionary alternative to statistical measures, whe n dealing with evolutions under uncertainty. The book is written by experts in the field and the target audience primarily comprises research experts and practitioners
Contents:Part I Description, Illustration and Comments of the Results
The Viabilist Portfolio Performance and Insurance Approach
Technical and Quantitative Analysis of Tubes
Uncertainty on Uncertainties
Part II Mathematical Proofs
Why Viability Theory? A Survival Kit
General Viabilist Portfolio Performance and Insurance Problem
ISBN:9783319081298
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319066530:ONLINE Show nearby items on shelf
Title:Modern Problems in Insurance Mathematics [electronic resource]
Author(s): Dmitrii Silvestrov
Anders Martin-Lf
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book is a compilation of 21 papers presented at the International Cramr Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several largeresearch communities in mo dern insurance mathematics and its applications. The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems inlife and non-life insurance, and related topics i n applied and financial mathematics. The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers,research students and experts from the insurance business. In this way, Moder n Problems in Insurance Mathematics will contribute to the development of research and academyindustry co-operation in the area of insurance mathematicsand its applications
Contents:International Cramer Symposium on Insurance Mathematics
Harald Cramer and Insurance Mathematics
100 Years of the Scandinavian Actuarial Journal
A Note on GerberShiu Functions with an Application
Improved Asymptotics for Ruin Probabilities
Exponential Asymptotical Expansions for Ruin Probability in a Classical Risk Process with Non
Polynomial Perturbations
Asymptotics of Ruin Probabilities for Perturbed Discrete Time Risk Processes
Coherent Risk Measures under Dominated Variation
Estimation of the Ruin Probability in Infinite Time for Heavy Right
Tailed Losses
A Si
ISBN:9783319066530
Series:eBooks
Series:SpringerLink
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319058559:ONLINE Show nearby items on shelf
Title:Renewal Processes [electronic resource]
Author(s): Kosto V Mitov
Edward Omey
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This monograph serves as an introductory text to classical renewal theory and some of its applications for graduate students and researchers in mathematics and probability theory. Renewal processes play an important part inmodeling many phenomena in insurance, finance, queuing systems, inventory control and other areas. In this book, an overview of univariate renewal theory is given and renewal processes in the non-lattice and lattice case are discussed.A pre-requisite is a basic knowledge of probabi lity theory
Contents:Preface
Renewal Processes
Discrete Time Renewal Processes
Extensions and Applications
Appendix: Convolutions and Laplace Transforms
ISBN:9783319058559
Series:eBooks
Series:SpringerLink
Series:SpringerBriefs in Statistics, 2191-544X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2014-9783319044866:ONLINE Show nearby items on shelf
Title:Risk - A Multidisciplinary Introduction [electronic resource]
Author(s): Claudia Klppelberg
Daniel Straub
Isabell M Welpe
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is a unique book addressing the integration of risk methodology from various fields. It stimulates intellectual debate and communication across disciplines, promotes better risk management practices and contributes to thedevelopment of risk mana gement methodologies. Book chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and insurance, health sciences, life sciences,engineering and information science. Integrated Risk Sciences is an emerging field, that considers risks in different fields aiming at a common language, and at sharing and improving methods developed in different fields. Readersshould have a Bachelor degree and at least one basic university course in stat istics and probability. The main goal of the book is to provide basic knowledge on risk and security in a common language the authors have taken particularcare to ensure that each chapter can be understood by doctoral students and researchers across disci plines. Each chapter provides simple case studies and examples, open research questions and discussion points, and a selectedbibliography inviting the reader to further studies
Contents:Introduction
Part One. Risk in History and Science: Zachmann, K.: Risk in historical perspective: concepts, contexts, and conjunctions
Ltge, C., Schnebel, E., Westphal, N.: Risk management and business ethics: integrating the human factor
Straub, D., Welpe, I.: Decision
making under risk: a normative and behavioral perspective
Mainzer, K.: The new role of mathematical modelling and its importance for society
Part Two. Quantitative Risk Methodology: Biagini, F. , Meyer
Brandis, T. and Svindland, G. :The mathematical concept of risk
Fasen, V., Klppelberg, C., Menzel, A.: Qu
ISBN:9783319044866
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geology , Computer science , Distribution (Probability theory) , Statistics , System safety , Climatic changes
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Call number:SPRINGER-2014-9783319024998:ONLINE Show nearby items on shelf
Title:Mathematical and Statistical Methods for Actuarial Sciences and Finance [electronic resource]
Author(s): Marco Corazza
Claudio Pizzi
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:The interaction between mathematicians and statisticians has been shown to be an eective approach for dealing with actuarial, insurance and nancial problems, both from an academic perspective and from an operative one. Thecollection of original paper s presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and nance elds, all treated in the light of the successful cooperation betweenthe above two quantitative approaches. The papers publish ed in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions,some of the considered areas of investigation are: actuarial models alternativ e testing approaches behavioral nance clustering techniques coherent and non-coherent risk measures credit scoring approaches data envelopmentanalysis dynamic stochastic programming nancial contagion models nancial ratios intelligent nancial trading syste ms mixture normality approaches Monte Carlo-based methods multicriteria methods nonlinear parameterestimation techniques nonlinear threshold models particle swarm optimization performance measures portfolio optimization pricing methods for structured and non-structured derivatives risk management skewed distribution analysis
Contents:Weak form efficiency of selected European stock markets: alternative testing approaches (G. Albano, M. La Rocca, C. Perna)
An empirical comparison of variable selection methods in competing risks model (A. Amendola, M. Restaino, L. Sensini)
A comparison between different numerical schemes for the valuation of unit
linked contracts embedding a surrender option (A.R. Bacinello, P. Millossovich, A. Montealegre)
Dynamic tracking error with shortfall control using stochastic programming (D. Barro, E. Canestrelli)
Firms volatility risk under microstructure noise (F. Barsotti, S. Sanfe
ISBN:9783319024998
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Economics Statistics
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Call number:SPRINGER-2014-9781493909957:ONLINE Show nearby items on shelf
Title:Stochastic Optimization in Insurance [electronic resource] : A Dynamic Programming Approach
Author(s): Pablo Azcue
Nora Muler
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends inthe classical collectiv e risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal value functions are characterized as either the unique or thesmallest viscosity solution of the associated Hamilton-Jacobi-Bellman equation they also study the structure of the optimal strategies and show how to find them. The viscosity approach was widely used in control problems related tomathematical finance but until quite recently it was not used to solve control problems related to actuarial mathematical science. This book is designed to familiarize the reader on how to use this approach. The intended audience isgraduate students as well as researchers in this area
Contents:Stability Criteria for Insurance Companies
Reinsurance and Investment
Viscosity Solutions
Characterization of Value Functions
Optimal Strategies
Numerical Examples
References
Appendix A. Probability Theory and Stochastic Processes
Index
ISBN:9781493909957
Series:eBooks
Series:SpringerLink
Series:SpringerBriefs in Quantitative Finance, 2192-7006
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2014-9781447163053:ONLINE Show nearby items on shelf
Title:Value-Oriented Risk Management of Insurance Companies [electronic resource]
Author(s): Marcus Kriele
Jochen Wolf
Date:2014
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Value- and risk-oriented management is a holistic method of managing businesses. In this book both actuarial methods and methods pertaining to classical internal control and classical risk management are used. Therefore theapproach taken is necessari ly interdisciplinary. Indeed, there is a new dynamically developing field for actuaries as a result of the emphasis now on the measurement of risk. This book provides the required basic knowledge for thissubject from an actuarial perspective. It enables t he reader to implement in practice a risk management system that is based on quantitative methods. With this book, the reader will additionally be able to critically appraise theapplicability and the limits of the methods used in modern risk management. V alue- OrientedRisk Managementof Insurance Companiesfocuses on risk capital, capital allocation, performance measurement and value-oriented management. It also makes a connection to regulatory developments (for example, Solvency II). The reader should hav e a basic knowledge of probability and familiarity with mathematical concepts. It is intended for working actuaries and quantitativerisk managers as well as actuarial students
Contents:The Process of Risk Management
Risk Measures
Dependencies
Risk Capital
Allocation of Capital
Performance Measurement
Value
oriented Company Management
Solvency and Regulatory Questions
ISBN:9781447163053
Series:eBooks
Series:SpringerLink
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Economics Statistics
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Call number:SPRINGER-2014-9781447155683:ONLINE Show nearby items on shelf
Title:Risk Theory and Reinsurance [electronic resource]
Author(s): Griselda Deelstra
Guillaume Plantin
Date:2014
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Reinsurance is an important production factor of non-life insurance. The efficiency and the capacity of the reinsurance market directly regulate those of insurance markets. The purpose of this book is to provide a conciseintroduction to risk theory, as well as to its main application procedures to reinsurance. The first part of the book covers risk theory. It presents the most prevalent model of ruin theory, as well as a discussion on insurancepremium calculation principles and the mathematical tools that enable portfolios to be ordered according to their risk levels. The second part describes the institutional context of reinsurance. It first strives to clarify the legalnature of reinsurance transactions. It describes the structure of the reinsuranc e market and then the different legal and technical features of reinsurance contracts, known as reinsurance treaties by practitioners. The thirdpart creates a link between the theories presented in the first part and the practice described in the second o ne. Indeed, it sets out, mostly through examples, some methods for pricing and optimizing reinsurance. The authors' aim isto apply the formalism presented in the first part to the institutional framework given in the second part. It is reassuring to find such a relationship between approaches, seemingly abstract, and solutions adopted by practitioners.Risk Theory and Reinsurance is mainly aimed atgraduate students in actuarial science but will also be useful for practitioners wishing to revive their knowl edge of risk theory or to quickly learn about the main mechanisms ofreinsurance
Contents:Elements of Risk Theory
Reinsurance Market Practices
Optimal Reinsurance
ISBN:9781447155683
Series:eBooks
Series:SpringerLink
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2013-9783658023140:ONLINE Show nearby items on shelf
Title:Local Variance Estimation for Uncensored and Censored Observations [electronic resource]
Author(s): Paola Gloria Ferrario
Date:2013
Publisher:Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:Paola Gloria Ferrario develops and investigates several methods of nonparametric local variance estimation. The first two methods use regression estimations (plug-in), achieving least squares estimates as well as local averagingestimates (partitionin g or kernel type). Furthermore, the author uses a partitioning method for the estimation of the local variance based on first and second nearest neighbors (instead of regression estimation). Approaching specificproblems of application fields, all the resu lts are extended and generalised to the case where only censored observations are available. Further, simulations have been executed comparing the performance of two different estimators(R-Code available!). As a possible application of the given theory th e author proposes a survival analysis of patients who are treated for a specific illness. Contents Least Squares Estimation of the LocalVariance via Plug-In Local Averaging Estimation of the Local Variance via Plug-In Partitioning Estimation of the Lo cal Variance via Nearest Neighbors Estimation of the LocalVariance under Censored Observations Target Groups Researchers and graduate students in the fields of mathematics and statistics Practitioners in the fields of medicine, reliability, finance,a nd insurance Author Paola Gloria Ferrario received her doctorate degree (doctor rerum naturalium) from the University of Stuttgart, Germany, in 2012, after having studied Mathematical Engineering at the Polytechnic of Milano,Italy. She taught mathematic s to students of economics at University of Hohenheim and now works as a researcher at the University of Lbeck, Germany
Note:Springer eBooks
Contents:Least Squares Estimation of the Local Variance via Plug
In
Local Averaging Estimation of the Local Variance via Plug
In
Partitioning Estimation of the Local Variance via Nearest Neighbors
Estimation of the Local Variance under Censored Observations
ISBN:9783658023140
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2013-9783642335907:ONLINE Show nearby items on shelf
Title:Mathematical Risk Analysis [electronic resource] : Dependence, Risk Bounds, Optimal Allocations and Portfolios
Author(s): Ludger Rschendorf
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical riskanalysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text thatpresents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence andto the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant tooptimal risk allocation, optimal portfolio problems as well as to the optimization of insuran ce contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortablyreading and working with the present volume, which is intended for graduate students, practitioners and researchers a nd can serve as a reference resource for the main concepts and techniques.
Note:Springer eBooks
Contents:Preface
Part I: Stochastic Dependence and Extremal Risk
1 Copulas, Sklar's Theorem, and Distributional Transform
2 Frchet Classes, Risk Bounds, and Duality Theory
3 Convex Order, Excess of Loss, and Comonotonicity
4 Bounds for the Distribution Function and Value at Risk of the Joint Portfolio
5 Restrictions on the Dependence Structure
6 Dependence Orderings of Risk Vectors and Portfolios
Part II: Risk Measures and Worst Case Portfolios
7 Risk Measures for Real Risks
8 Risk Measures for Portfolio Vectors
9 Law Invariant Convex Risk Measures on L_d^p and Optimal Ma
ISBN:9783642335907
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2013-9783642313929:ONLINE Show nearby items on shelf
Title:Financial Modeling, Actuarial Valuation and Solvency in Insurance [electronic resource]
Author(s): Mario V Wthrich
Michael Merz
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments inthis area in the fina ncial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wthrich combineideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fullyconsistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options,dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solven cy discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in thefinancial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a go od background in probability theoryand statistics, and should be familiar with popular distributions,stochastic processes, martingales, etc
Note:Springer eBooks
Contents:1.Introduction
Part I: Financial Valuation Principles
2.State price deflators and stochastic discounting
3.spot rate models
4.Stochastic forward rate and yield curve modeling
5.Pricing of financial assets
Part II: Actuarial Valuation and Solvency
6.Actuarial and financial modeling
7.Valuation portfolio
8.Protected valuation portfolio
9.Solvency
10.Selected topics and examples
Part III: Appendix
11.Auxiliary considerations
References
Index
ISBN:9783642313929
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Finance, 1616-0533
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Economics Statistics
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Call number:SPRINGER-2013-9783319023038:ONLINE Show nearby items on shelf
Title:GerberShiu Risk Theory [electronic resource]
Author(s): Andreas E Kyprianou
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Motivated by the many and long-standing contributions of H. Gerber and E. Shiu, this book gives a modern perspective on the problem of ruin for the classical CramrLundberg model and the surplus of an insurance company. Thebook studies martingales and path decompositions, which are the main tools used in analysing the distribution of the time of ruin, the wealth prior to ruin and the deficit at ruin. Recent developments in exotic ruin theory are alsoconsidered. In particular, by making dividend or tax payments out of the surplus process, the effect on ruin is explored. Gerber-Shiu Risk Theory can be used as lecture notes and is suitable for a graduate course. Each chaptercorresponds to approximately two hours of lectures
Note:Springer eBooks
Contents:Introduction
The Wald martingale and the maximum
The Kella
Whitt martingale and the minimum
Scale functions and ruin probabilities
The GerberShiu measure
Reflection strategies
Perturbation
at
maximum strategies
Refraction strategies
Concluding discussion
References
ISBN:9783319023038
Series:e-books
Series:SpringerLink (Online service)
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory)
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Call number:SPRINGER-2013-9781461471011:ONLINE Show nearby items on shelf
Title:An Introduction to Heavy-Tailed and Subexponential Distributions [electronic resource]
Author(s): Sergey Foss
Dmitry Korshunov
Stan Zachary
Date:2013
Edition:2nd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Heavy-tailed probability distributions are an important component in the modeling of many stochastic systems. They are frequently used to accurately model inputs and outputs of computer and data networks and service facilitiessuch as call centers. Th ey are an essential for describing risk processes in finance and also for insurance premia pricing, and such distributions occur naturally in models of epidemiological spread. The class includes distributionswith power law tails such as the Pareto, as wel l as the lognormal and certain Weibull distributions. One of the highlights of this new edition is that it includes problems at the end of each chapter. Chapter 5 is also updated toinclude interesting applications to queueing theory, risk, and branching processes. New results are presented in a simple, coherent and systematic way. Graduate students as well as modelers in the fields of finance, insurance, networkscience and environmental studies will find this book to be an essential reference
Note:Springer eBooks
Contents:Preface
Introduction
Heavy
and long
tailed distributions
Subexponential distributions
Densities and local probabilities
Maximum of random walks
References
Index
ISBN:9781461471011
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2013-9781461460404:ONLINE Show nearby items on shelf
Title:Strategic Economic Decision-Making [electronic resource] : Using Bayesian Belief Networks to Solve Complex Problems
Author(s): Jeff Grover
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes theoryand inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes theorem,walkingthem through the theoretical phases of set and sample set selection, the axioms of probability,probability theory as it pertains to Bayes theorem, and posterior probabilities. All of these concepts are explained as they appear in the methodology of fitting a Bayes model, and upon completion of the text readers will be ableto mathematically determine posterior probabilities of multiple independent nodes across any system available for study. Very little has been published in the area of discrete Bayes theory, and this brief will appeal tonon-statisticians conducting research in the fields of engineering, computing, life sciences, and social sciences.
Note:Springer eBooks
Contents:Strategic Economic Decision Making: The Use of Bayesian Belief Networks (BBN) in Solving Complex Problems
A Literature Review of Bayes Theorem and Bayesian Belief Networks (BBN)
Statistical Properties of Bayes Theorem
Bayes Belief Networks (BBN) Experimental Protocol
Manufacturing Example
Political Science Example
Gambling Example
Publicly Traded Company Default Example
Insurance Risk Levels Example
Acts of Terrorism Example
Currency Wars Example
College Entrance Exams Example
Special Forces Assessment and Selection (SFAS) One
Stage Example
Special
ISBN:9781461460404
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics, 2191-544X : v9
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781447153313:ONLINE Show nearby items on shelf
Title:Backward Stochastic Differential Equations with Jumps and Their Actuarial and Financial Applications [electronic resource] : BSDEs with Jumps
Author(s): ukasz Delong
Date:2013
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Backward stochastic differential equations with jumps can be used to solve problems in both finance and insurance. Part I of this book presents the theory of BSDEs with Lipschitz generators driven by a Brownian motion and acompensated random measure, with an emphasis on those generated by step processes and Lvy processes. It discusses key results and techniques (including numerical algorithms) for BSDEs with jumps and studies filtration-consistentnonlinear expectations and g-expectations. Part I also focuses on the mathematical tools and proofs which are crucial for understanding the theory. Part II investigates actuarial and financial applications of BSDEs with jumps. Itconsiders a general financial and insurance model and deals with pricing and hed ging of insurance equity-linked claims and asset-liability management problems. It additionally investigates perfect hedging, superhedging, quadraticoptimization, utility maximization, indifference pricing, ambiguity risk minimization, no-good-deal pricin g and dynamic risk measures. Part III presents some other useful classes of BSDEs and their applications. This book will makeBSDEs more accessible to those who are interested in applying these equations to actuarial and financial problems. It will be bene ficial to students and researchers in mathematical finance, risk measures, portfolio optimization as wellas actuarial practitioners
Note:Springer eBooks
Contents:Introduction
Stochastic Calculus
Backward Stochastic Differential Equations the General Case
Forward
Backward Stochastic Differential Equations
Numerical Methods for FBSDEs
Nonlinear Expectations and g
Expectations
Combined Financial and Insurance Model
Linear BSDEs and Predictable Representations of Insurance Payment Processes
Arbitrage
Free Pricing, Perfect Hedging and Superhedging
Quadratic Pricing and Hedging
Utility Maximization and Indifference Pricing and Hedging
Pricing and Hedging under a Least Favorable Measure
Dynamic Risk Measures
Other Cl
ISBN:9781447153313
Series:e-books
Series:SpringerLink (Online service)
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2012-9788847023420:ONLINE Show nearby items on shelf
Title:Mathematical and Statistical Methods for Actuarial Sciences and Finance [electronic resource]
Author(s): Cira Perna
Marilena Sibillo
Date:2012
Publisher:Milano : Springer Milan : Imprint: Springer
Size:1 online resource
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Note:The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello(Amalfi coast), and su ccessively, after a reviewing process, worked out to this aim
Note:Springer eBooks
ISBN:9788847023420
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Statistics , Economics, Mathematical , Economics
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Call number:SPRINGER-2012-9788132206590:ONLINE Show nearby items on shelf
Title:Multiple Decrement Models in Insurance [electronic resource] : An Introduction Using R
Author(s): Shailaja Deshmukh
Date:2012
Publisher:India : Springer India : Imprint: Springer
Size:1 online resource
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Note:The book will serve as a guide to many actuarial concepts and statistical techniques in multiple decrement models and their application in calculation of premiums and reserves in life insurance products with riders and in pensionand employee benefit plans as in these schemes, the benefit paid on termination of employment depends upon the several causes of termination. Multiple state models are discussed to accommodate the insurance products in which thepayment of benefits or premiums is dependent on being in a given state or moving between a given pair of states at a given time, for example, disability income insurance model. The book also discusses stochastic models for interestrates and calculation of premiums for some products in this set up. The highlight of the book is usage of R software, freely available from public domain, for computations of various monetary functions involved in insurance business. Rcommands are given for all the computations
Note:Springer eBooks
Contents:Multiple Decrement Models
Introduction
Time to Decrement and Cause of Decrement Random Variables
Multiple Decrement Table
Associated Single Decrement Model
Exercises
Premiums and Reserves for Multiple Decrement Model
Introduction
Actuarial Present Value of Benefit
Computation of Premiums
Computation of Reserves
Exercises
Defined Benefit Pension Plan
Introduction
Actuarial Present Value of Pension Benefit
Exercises
Pension Funding
Introduction
Accrued Benefit Cost Method for an Individual
Accrued Benefit Cost Method for a Group
Aggrega
ISBN:9788132206590
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2012-9783790823493:ONLINE Show nearby items on shelf
Title:Exploring Research Frontiers in Contemporary Statistics and Econometrics [electronic resource] : A Festschrift for Lopold Simar
Author(s): Ingrid Van Keilegom
Paul W Wilson
Date:2012
Publisher:Heidelberg : Physica-Verlag HD : Imprint: Physica
Size:1 online resource
Note:Springer e-book platform
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Note:Lopold Simar became Professor of Statistics at the Universit catholique de Louvain (UCL) in 1992, after moving from the Facult des Sciences Economiques Sociales et Politiques (FSESP) at Facults Universitaires Saint-Louisin Brussels, where he had serv ed as Professor of Statistics since 1974 and as Dean of the FSESP from 1978 to 1990. He founded the Institute of Statistics at the UCL in 1992, and chaired the Institute from its creation until 2004.During this period, the Institute became recognized as a leading center for research in mathematical statistics. Over his long and successful career, Lopold Simar has worked on a variety of topics in statistics, including count-datamodels, Bayesian estimation and inference, and frontier estimation. He is regar ded as one of the world's leading experts on frontier estimation his work in this area has found application in a broad variety of fields, includingefficiency studies in industry, air traffic control, the research output of universities, insurance compani es, etc. This book collects contributions written by well-known statisticians and econometricians to acknowledge LopoldSimars far-reaching scientific impact on Statistics and Econometrics throughout his career. The papers contained herein were presented a t a conference in Louvain-la-Neuve in May 2009 in honor of his retirement. The contributionscover a broad variety of issues surrounding frontier estimation, which Lopold Simar has contributed much to over the past two decades, as well as related issues su ch as semiparametric regression and models for censored data
Note:Springer eBooks
ISBN:9783790823493
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2012-9783642284397:ONLINE Show nearby items on shelf
Title:Stochastic Models in Life Insurance [electronic resource]
Author(s): Michael Koller
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means ofMarkov chains. Two chapter s covering ALM and abstract valuation concepts on the background of Solvency II complete this volume. Numerous examples and a parallel treatment of discrete and continuous approaches help the reader toimplement the theory directly in practice
Note:Springer eBooks
Contents:1. A general life insurance model
2. Stochastic processes
3. Interest rate
4. Cash flows and the mathematical reserve
5. Difference equations and differential equations
6. Examples and problems from applications
7. Hattendorff's Theorem
8. Unit
linked policies
9. Policies with stochastic interest rate
10. Technical analysis
11. Abstract valuation
12. Policyholder bonus mechanism
A. Notes on stochastic integration
B. Examples
C. Mortality rates in Germany
D. Mortality rates in Switzerland
E. Java code for the calculation of the Markov model
Ref
ISBN:9783642284397
Series:e-books
Series:SpringerLink (Online service)
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2012-9781461441038:ONLINE Show nearby items on shelf
Title:Risk and Portfolio Analysis [electronic resource] : Principles and Methods
Author(s): Henrik Hult
Filip Lindskog
Ola Hammarlid
Carl Johan Rehn
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of appliedmathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into actual decisions. In Risk and Portfolio Analysis the authors present sound principles and useful methods for makinginvestment and risk management decisions in the presen ce of hedgeable and non-hedgeable risks using the simplest possible principles, methods, and models that still capture the essential features of the real-world problems. They userigorous, yet elementary mathematics, avoiding technically advanced approache s which have no clear methodological purpose and are practically irrelevant. The material progresses systematically and topics such as the pricing and hedgingof derivative contracts, investment and hedging principles from portfolio theory, and risk measur ement and multivariate models from risk management are covered appropriately. The theory is combined with numerous real-world examplesthat illustrate how the principles, methods, and models can be combined to approach concrete problems and to draw useful conclusions. Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators. Prerequisites include undergraduate level courses in linear algebra, analysis, statistics andprobability.
Note:Springer eBooks
ISBN:9781461441038
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Economics Statistics
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Call number:SPRINGER-2012-9781461437734:ONLINE Show nearby items on shelf
Title:Financial Decision Making Using Computational Intelligence [electronic resource]
Author(s): Michael Doumpos
Constantin Zopounidis
Panos M Pardalos
Date:2012
Publisher:Boston, MA : Springer US : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Financial Decision Making Using Computational Intelligence covers all the recent developments in complex financial decision making through computational intelligence approaches. Computational intelligence has evolved rapidly inrecent years and it is now one of the most active fields in operations research and computer science. The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to applytraditional modeling and algorithmic procedures. In th is context, the field of computational intelligence provides a wide range of useful techniques, including new modeling tools for decision making under risk and uncertainty, datamining techniques for analyzing complex data bases, and powerful algorithms fo r complex optimization problems. This book presents the recent advances made in financial decision making using computational intelligence, covering bothnew methodological developments as well as new emerging application areas. This work covers a wide ra nge of topics related to financial decision making, financial modeling, risk management, and financial engineering, includingalgorithmic trading, financial time-series analysis, asset pricing, portfolio management, auction markets, and insurance services. Practitioners in the financial industry as well as operations researchers, management scientists, anddata analysts will find this publication highly useful
Note:Springer eBooks
Contents:Preface
List of Contributors
1. Statistically Principled Application of Computational Intelligence Techniques for Finance (J.V. Healy)
2. Can Artificial Traders Learn and Err Like Human Traders? A New Direction for Computational Intelligence in Behavioral Finance (S
H. Chen, K
C. Shih, C
C. Tai)
3. Application of Intelligent Systems for News Analytics (C. Bozic, S. Chalup, D. Seese)
4. Modelling and Trading the Greek Stock Market with Hybrid ARMA
Neural Network Models (C. L. Dunis, J. Laws, A. Karathanasopoulos)
5. Pattern Detection and Analysis in Financial Time Series Us
ISBN:9781461437734
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v70
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2012-9781461411659:ONLINE Show nearby items on shelf
Title:Emigrating Beyond Earth [electronic resource] : Human Adaptation and Space Colonization
Author(s): Cameron M Smith
Evan T Davies
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:For four million years humankind has been actively expanding geographically and in doing so has adapted to a wide variety of hostile environments. Now we are looking towards the ultimate adaptation - the colonization of space.Emigrating Beyond Earth illustrates that this is not a technocratic endeavor, but a natural continuation of human evolution a journey not just for the engineer and rocket scientist, but for everyman. Based on the most currentunderstanding of our universe, human adaptation and ev olution, the authors explain why space colonization must be planned as an adaptation to, rather than the conquest of, space. Emigrating Beyond Earth argues that space colonizationis an insurance policy for our species, and that it isn't about rockets and robots, it's about humans doing what we've been doing for four million years: finding new places and new ways to live. Applying a unique anthropologicalapproach, the authors outline a framework for continued human space exploration and offer a glimpse of a possible human future involving interstellar travel and settlement of worlds beyond our own
Note:Springer eBooks
Contents:List of Figures
List of Tables
Acknowledgements and Dedications
About the Authors
Preface
Part I: The Context and Uniqueness of Human Evolution and Adaptation
Chapter 1: The Extraterrestrial Adaptation: Humanity, Evolution and Migration Into Space
Chapter 2: Stardust: The Origins of Life, Evolution and Adaptation
Chapter 3: The Adaptive Equipment of the Genus Homo: Symbolism and Niche Construction
Part II: Arguments For and Against Human Space Colonization
Chapter 4: A Choice of Catastrophes
Common Arguments for Space Colonization
Chapter 5: False Choices
C
ISBN:9781461411659
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Praxis Books
Series:Physics and Astronomy (Springer-11651)
Keywords: Astrophysics , Astronomy , Human Geography
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Call number:SPRINGER-2012-9780817683467:ONLINE Show nearby items on shelf
Title:An Introduction to Continuous-Time Stochastic Processes [electronic resource] Theory, Models, and Applications to Finance, Biology, and Medicine
Author(s): Vincenzo Capasso
David Bakstein
Date:2012
Edition:2nd ed. 2012
Publisher:Boston, MA : Birkhuser Boston : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:From reviewsof First Edition: The book is... an account of fundamental concepts as they appear in relevant modern applications and literature.... The book addresses three main groups: first, mathematicians working in adifferent field second, other sc ientists and professionals from a business or academic background third, graduate or advanced undergraduate students of a quantitative subject related to stochastic theory and/or applications.Zentralblatt MATH This is an introductory text on continuous ti me stochastic processes and their applications to finance and biology. ... The book will be useful for applied mathematicians who are not probabilists to get a quickflavour of the techniques of stochastic calculus, and for professional probabilists to get a quick flavour of the applications. Mathematical Reviews Revised and enhanced, this conciselywritten second edition of An Introduction toContinuous-Time Stochastic Processes is a rigorousand self-contained introduction to the theoryof continuous-time st ochastic processes, stochastic integrals,and stochastic differentialequations. Expertly balancing theory andapplications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and ins urance using stochastic methods. No previous knowledge of stochastic processes isrequired. Key topicsinclude: * Markov processes * Stochastic differential equations * Arbitrage-free markets and financial derivatives * Insurance risk * Population dynamics * Agent-based models New to the Second Edition: * Improvedpresentation of original concepts * Expanded background on probability theory * Substantial material applicable tofinance and biology, including stable laws, Lvy processes, and It-Lvy calculus *Sup plemental appendix toprovidebasic facts on semigroups of linear operators An Introduction to Continuous-Time Stochastic Processes, Second Editionwill be of inte
Note:Springer eBooks
Contents:Part I. The Theory of Stochastic Processes
Fundamentals of Probability
Stochastic Processes
The It Integral
Stochastic Differential Equations
Part II. The Applications of Stochastic Processes
Applications to Finance and Insurance
Applications to Biology and Medicine
Part III. Appendices
Measure and Integration
Convergence of Probability Measures on Metric Spaces
Elliptic and Parabolic Operators
D Semigroups and Linear Operators
E Stability of Ordinary Differential Equations
References
ISBN:9780817683467
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology, 2164-3679
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Engineering mathematics
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Call number:SPRINGER-2011-9783642207211:ONLINE Show nearby items on shelf
Title:Life Insurance Risk Management Essentials [electronic resource]
Author(s): Michael Koller
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The aim of the book is to provide an overview of risk management in life insurance companies. The focus is twofold: (1) to provide a broad view of the different topics needed for risk management and (2) to provide the necessarytools and techniques to concretely apply them in practice. Much emphasis has been put into the presentation of the book so that it presents the theory in a simple but sound manner. The first chapters deal with valuation concepts whichare defined and analysed, the emphasis is on understanding the risks in corresponding assets and liabilities such as bonds, shares and also insurance liabilities. In the following chapters risk appetite and key insurance processes andtheir risks are presented and analysed. This more general treatme nt is followed by chapters describing asset risks, insurance risks and operational risks - the application of models and reporting of the corresponding risks is central.Next, the risks of insurance companies and of special insurance products are looked at . The aim is to show the intrinsic risks in some particular products and the way they can be analysed. The book finishes with emerging risks and riskmanagement from a regulatory point of view, the standard model of Solvency II and the Swiss Solvency Test are analysed and explained. The book has several mathematical appendices which deal with the basic mathematical tools, e.g.probability theory, stochastic processes, Markov chains and a tochastic life insurance model based on Markov chains. Moreover, the a ppendices look at the mathematical formulation of abstract valuation concepts such as replicatingportfolios, state space deflators, arbitrage free pricing and the valuation of unit linked products with guarantees. The various concepts in the book are supp orted by tables and figures
Note:Springer eBooks
Contents:What is Risk Management
The role of the Balance Sheets and of Capital
Accounting Principles
Risk Appetite and Tolerance
Key Insurance Processes and their Risks
Financial Risks and their Modelling
Insurance Risks
Operational Risks
Capital Models and Integrated Risk Management
Risk adjusted performance Metrics
Risk Management in a Group and Intra
group Transactions
Products and their Risks
Emerging Risks
Regulatory view on Risk Management: Solvency II
Governance and Organisation
A Stochastic Processes
B Application of the Markov model to Life Insur
ISBN:9783642207211
Series:e-books
Series:SpringerLink (Online service)
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Mathematics , Distribution (Probability theory) , Economics Statistics , Economics, Mathematical , Finance
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Call number:SPRINGER-2011-9783642184123:ONLINE Show nearby items on shelf
Title:Advanced Mathematical Methods for Finance [electronic resource]
Author(s): Giulia Di Nunno
Bernt ksendal
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
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Note:This book presents innovations in the mathematical foundations of financial analysis and numerical methods for finance and applications to the modeling of risk. The topics selected include measures of risk, credit contagion,insider trading, informati on in finance, stochastic control and its applications to portfolio choices and liquidation, models of liquidity, pricing, and hedging. The models presented are based on the use of Brownian motion, Lvyprocesses and jump diffusions. Moreover, fractional Br ownian motion and ambit processes are also introduced at various levels. The chosen blend of topics gives an overview of the frontiers of mathematics for finance. New results, newmethods and new models are all introduced in different forms according to th e subject. Additionally, the existing literature on the topic is reviewed. The diversity of the topics makes the book suitable for graduate students,researchers and practitioners in the areas of financial modeling and quantitative finance. The chapters wi ll also be of interest to experts in the financial market interested in new methods and products. This volume presents theresults of the European ESF research networking program Advanced Mathematical Methods for Finance
Note:Springer eBooks
Contents:Dynamic risk measures
Ambit processes and stochastic partial differential equations
Fractional processes as models in stochastic finance
Credit contagion in a long range dependent macroeconomic factor model
Modeling information flows in financial markets
An overview of comonotonicity and its applicationsin finance and insurance
A general maximum principle for anticipative stochastic control and applications to insider trading
Analyticity of the Wiener
Hopf factors and valuation of exotic options in Levy models
Optimal liquidation of a pairs trade
A PDE
based approa
ISBN:9783642184123
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Economics Statistics , Macroeconomics
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Call number:SPRINGER-2011-9783642180620:ONLINE Show nearby items on shelf
Title:Statistical Tools for Finance and Insurance [electronic resource]
Author(s): Pavel Cizek
Wolfgang Karl Hrdle
Rafa Weron
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistical Tools for Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leadingacademics in the fiel d, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Features of the significantly enlarged and revised second edition: Offers insight into new methodsand the applicability of the stochastic tec hnology Provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations Covers topics such as - expectedshortfall for heavy tailed and mixture distributions* - pricing o f variance swaps* - volatility smile calibration in FX markets - pricing of catastrophe bonds and temperature derivatives* - building loss models and ruin probabilityapproximation - insurance pricing with GLM* - equity linked retirement plans*(new topics in the second edition marked with*) Presents extensive examples
Note:Springer eBooks
Contents:I Finance: Models for heavy
tailed asset returns (Szymon Borak, Adam Misiorek, and Rafa l Weron)
Expected shortfall (Simon A. Broda and Marc S. Paolella)
Modelling conditional heteroscedasticity in nonstationary series (Pavel Cek)
FX smile in the Heston model (Agnieszka Janek, Tino Kluge, Rafa Weron, and Uwe Wystup)
Pricing of Asian temperature risk (Fred Espen Benth, Wolfgang Karl Hrdle, and Brenda Lopez Cabrera)
Variance swaps (Wolfgang Karl Hrdle and Elena Silyakova)
Learning machines to help predict bankruptcy (Wolfgang Karl Hrdle, Linda Hoffmann, and Rousl
ISBN:9783642180620
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Economics Statistics
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Call number:SPRINGER-2011-9783642160295:ONLINE Show nearby items on shelf
Title:Introduction to Insurance Mathematics [electronic resource] : Technical and Financial Features of Risk Transfers
Author(s): Annamaria Olivieri
Ermanno Pitacco
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book aims at presenting technical and financial features of life insurance, non-life insurance, pension plans. The book has been planned assuming non-actuarial readers as its natural target, namely - advancedundergraduate and graduate students in Economics, Business and Finance - professionals and technicians operating in Insurance and pension areas, whose job may regard investments, risk analysis, financial reporting, etc, and henceimplies a communication with actuarial professionals and manager s. Given the assumed target, the book focuses on technical and financial aspects of insurance, however avoiding the use of complex mathematical tools. In this sense, thebook can be placed at some midpoint of the existing literature, part of which adopts m ore formal approaches to insurance problems implying the use of non-elementary mathematics, whereas another part addresses practical questionstotally avoiding even simple mathematical tools (which, in our opinion, can conversely provide effective tools fo r presenting technical and financial features of the insurance business)
Note:Springer eBooks
Contents:Risks and insurance
Managing a portfolio of risks
Life insurance: modelling the lifetime
Life insurance: pricing
Life insurance: reserving
Reserves and profits in a life insurance portfolio
Finance in life insurance: linking benefits to the investment performance
Pension plans: technical and financial perspectives
Non
life insurance: pricing and reserving
ISBN:9783642160295
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Economics Statistics , Banks and banking
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Call number:SPRINGER-2011-9783642160042:ONLINE Show nearby items on shelf
Title:Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance [electronic resource]
Author(s): Markus Holtz
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other dimension-wise integration techniques with applications to finance and insurance. The bookfocuses on providing in sights into the interplay between coordinate transformations, effective dimensions and the convergence behaviour of sparse grid methods. The techniques, derivations and algorithms are illustrated by manyexamples, figures and code segments. Numerical exper iments with applications from finance and insurance show that the approaches presented in this book can be faster and more accurate than (quasi-) Monte Carlo methods, even forintegrands with hundreds of dimensions
Note:Springer eBooks
ISBN:9783642160042
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v77
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Computer science Mathematics
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Call number:SPRINGER-2011-9783034800976:ONLINE Show nearby items on shelf
Title:Stochastic Analysis with Financial Applications [electronic resource] : Hong Kong 2009
Author(s): Arturo Kohatsu-Higa
Nicolas Privault
Shuenn-Jyi Sheu
Date:2011
Publisher:Basel : Springer Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Stochastic analysis has a variety of applications to biological systems as well as physical and engineering problems, and its applications to finance and insurance have bloomed exponentially in recent times. The goal of this bookis to present a broad overview of the range of applications of stochastic analysis and some of its recent theoretical developments. This includes numerical simulation, error analysis, parameter estimation, as well as control androbustness properties for stochastic equations. The book also covers the areas of backward stochastic differential equations via the (non-linear) G-Brownian motion and the case of jump processes. Concerning the applications to finance,many of the articles deal with the valuation and hedging of credit r isk in various forms, and include recent results on markets with transaction costs. Contributors: T.R. Bielecki N. Bouleau S. Chakraborty T.S. Chiang S.N. Cohen J.M.Corcuera S. Crpey A.B. Cruzeiro L. Denis J. Duan R.J. Elliott S. Fang M. Fukasawa F.Q. Gao B. Goldys S. Han Y. Ishikawa M. Jeanblanc H. Jiang B. Jourdain A. Kohatsu-Higa E.T. Kolkovska H. Lee L. Li J.A. Lpez-Mimbela J. Luo B.ksendahl J. Ren M. Rutkowski E. Shamarova S.J. Sheu A. Sulem A. Takeuchi N. Vaytis R. Wang J. Wei J. Wu J. Yang H. Yang K. Yasuda X. Zhang
Note:Springer eBooks
ISBN:9783034800976
Series:e-books
Series:SpringerLink (Online service)
Series:Progress in Probability : v65
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2011-9781441994738:ONLINE Show nearby items on shelf
Title:An Introduction to Heavy-Tailed and Subexponential Distributions [electronic resource]
Author(s): Sergey Foss
Dmitry Korshunov
Stan Zachary
Date:2011
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Heavy-tailed probability distributions are an important component in the modelingof many stochastic systems. They are frequently used to accurately model inputs and outputs of computer and data networks and service facilitiessuch as call centers. The y are an essential for describingrisk processes in finance and also for insurance premia pricing, and such distributions occur naturally in models of epidemiological spread. The class includes distributionswith power law tails such asthe Pareto, as well a s the lognormal and certain Weibull distributions. This monograph defines the classes oflong-tailed and subexponential distributions in one dimension and provides a complete andcomprehensive description of their properties. New results are presented in a simple, coherent and systematic way. This leads to a comprehensive exposition of tail properties of sums of independent random variables whose distributionsbelong to the long-tailed and subexponential class. The book includes adiscussion of and references to contemporary areas of applications and also contains preliminary mathematicalmaterialwhich makes the book self contained.Modelers in the fields of finance, insurance, network science and environmental studies will find this book to be an essential ref erence
Note:Springer eBooks
Contents:Preface
Introduction
Heavy
and long
tailed distributions
Subexponential distributions
Densities and local probabilities
Maximum of random walks
References
Index
ISBN:9781441994738
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598 : v38
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2011-9780817680893:ONLINE Show nearby items on shelf
Title:Advances in Dynamic Games [electronic resource] : Theory, Applications, and Numerical Methods for Differential and Stochastic Games
Author(s): Michle Breton
Krzysztof Szajowski
Date:2011
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book focuses on various aspects of dynamic game theory, presenting state-of-the-art research and serving as a testament to the vitality and growth of the field of dynamic games and their applications. The selectedcontributions, written by expert s in their respective disciplines, are outgrowths of presentations originally given at the 13th International Symposium of Dynamic Games and Applications held in Wrocaw. The book covers a variety oftopics, ranging from theoretical developments in game the ory and algorithmic methods to applications, examples, and analysis in fields as varied as environmental management, finance and economics, engineering, guidance and control, andsocial interaction. The book is thematically organized into five parts: * The oretical developments in differential and dynamic games * Pursuit-evasion and guidance games * Evolutionary games * Stability and time consistency incooperative games * Applications and numerical approaches in environmental and renewable resource manageme nt, finance, insurance and economics, supply chains, and telecommunications. Featured throughout are useful tools and valuableresources for researchers, practitioners, and graduate students interested in dynamic games and their applications in applied mat hematics, engineering, economics, and management science. Also included in the volume is a special tributeto Arik Melikyan, honoring his memory and the many contributions he made to the field of dynamic games
Note:Springer eBooks
Contents:Preface
Contents
A Tribute to Arik Melikyan
Part I: Dynamic Games: Theoretical Developments
Part II: Pursuit Evasion Games
Part III: Evolutionary Games
Part IV: Cooperative Games
Part V: Applications and Numerical Approaches
ISBN:9780817680893
Series:e-books
Series:SpringerLink (Online service)
Series:Annals of the International Society of Dynamic Games : v11
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Genetics Mathematics , Engineering mathematics , Economics, Mathematical
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