Mathematics and statistics for financial risk management (Record no. 1667)

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005 - DATE AND TIME OF LATEST TRANSACTION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118750292
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.015195
Item number MIL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Miller, Michael B
245 ## - TITLE STATEMENT
Title Mathematics and statistics for financial risk management
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. John Wiley & Sons, Inc.
Place of publication, distribution, etc. New Jersey
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 317 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 104.95
490 ## - SERIES STATEMENT
Series statement Wiley finance series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note TABLE OF CONTENTS<br/>Preface ix<br/><br/>What’s New in the Second Edition xi<br/><br/>Acknowledgments xiii<br/><br/>Chapter 1 Some Basic Math 1<br/><br/>Logarithms 1<br/><br/>Log Returns 2<br/><br/>Compounding 3<br/><br/>Limited Liability 4<br/><br/>Graphing Log Returns 5<br/><br/>Continuously Compounded Returns 6<br/><br/>Combinatorics 8<br/><br/>Discount Factors 9<br/><br/>Geometric Series 9<br/><br/>Problems 14<br/><br/>Chapter 2 Probabilities 15<br/><br/>Discrete Random Variables 15<br/><br/>Continuous Random Variables 15<br/><br/>Mutually Exclusive Events 21<br/><br/>Independent Events 22<br/><br/>Probability Matrices 22<br/><br/>Conditional Probability 24<br/><br/>Problems 26<br/><br/>Chapter 3 Basic Statistics 29<br/><br/>Averages 29<br/><br/>Expectations 34<br/><br/>Variance and Standard Deviation 39<br/><br/>Standardized Variables 41<br/><br/>Covariance 42<br/><br/>Correlation 43<br/><br/>Application: Portfolio Variance and Hedging 44<br/><br/>Moments 47<br/><br/>Skewness 48<br/><br/>Kurtosis 51<br/><br/>Coskewness and Cokurtosis 53<br/><br/>Best Linear Unbiased Estimator (BLUE) 57<br/><br/>Problems 58<br/><br/>Chapter 4 Distributions 61<br/><br/>Parametric Distributions 61<br/><br/>Uniform Distribution 61<br/><br/>Bernoulli Distribution 63<br/><br/>Binomial Distribution 65<br/><br/>Poisson Distribution 68<br/><br/>Normal Distribution 69<br/><br/>Lognormal Distribution 72<br/><br/>Central Limit Theorem 73<br/><br/>Application: Monte Carlo Simulations Part I: Creating Normal Random Variables 76<br/><br/>Chi-Squared Distribution 77<br/><br/>Student’s t Distribution 78<br/><br/>F-Distribution 79<br/><br/>Triangular Distribution 81<br/><br/>Beta Distribution 82<br/><br/>Mixture Distributions 83<br/><br/>Problems 86<br/><br/>Chapter 5 Multivariate Distributions and Copulas 89<br/><br/>Multivariate Distributions 89<br/><br/>Copulas 97<br/><br/>Problems 111<br/><br/>Chapter 6 Bayesian Analysis 113<br/><br/>Overview 113<br/><br/>Bayes’ Theorem 113<br/><br/>Bayes versus Frequentists 119<br/><br/>Many-State Problems 120<br/><br/>Continuous Distributions 124<br/><br/>Bayesian Networks 128<br/><br/>Bayesian Networks versus Correlation Matrices 130<br/><br/>Problems 132<br/><br/>Chapter 7 Hypothesis Testing and Confidence Intervals 135<br/><br/>Sample Mean Revisited 135<br/><br/>Sample Variance Revisited 137<br/><br/>Confidence Intervals 137<br/><br/>Hypothesis Testing 139<br/><br/>Chebyshev’s Inequality 142<br/><br/>Application: VaR 142<br/><br/>Problems 152<br/><br/>Chapter 8 Matrix Algebra 155<br/><br/>Matrix Notation 155<br/><br/>Matrix Operations 156<br/><br/>Application: Transition Matrices 163<br/><br/>Application: Monte Carlo Simulations Part II: Cholesky Decomposition 165<br/><br/>Problems 168<br/><br/>Chapter 9 Vector Spaces 169<br/><br/>Vectors Revisited 169<br/><br/>Orthogonality 172<br/><br/>Rotation 177<br/><br/>Principal Component Analysis 181<br/><br/>Application: The Dynamic Term Structure of Interest Rates 185<br/><br/>Application: The Structure of Global Equity Markets 191<br/><br/>Problems 193<br/><br/>Chapter 10 Linear Regression Analysis 195<br/><br/>Linear Regression (One Regressor) 195<br/><br/>Linear Regression (Multivariate) 203<br/><br/>Application: Factor Analysis 208<br/><br/>Application: Stress Testing 211<br/><br/>Problems 212<br/><br/>Chapter 11 Time Series Models 215<br/><br/>Random Walks 215<br/><br/>Drift-Diffusion Model 216<br/><br/>Autoregression 217<br/><br/>Variance and Autocorrelation 222<br/><br/>Stationarity 223<br/><br/>Moving Average 227<br/><br/>Continuous Models 228<br/><br/>Application: GARCH 230<br/><br/>Application: Jump-Diffusion Model 232<br/><br/>Application: Interest Rate Models 232<br/><br/>Problems 234<br/><br/>Chapter 12 Decay Factors 237<br/><br/>Mean 237<br/><br/>Variance 243<br/><br/>Weighted Least Squares 244<br/><br/>Other Possibilities 245<br/><br/>Application: Hybrid VaR 245<br/><br/>Problems 247<br/><br/>Appendix A Binary Numbers 249<br/><br/>Appendix B Taylor Expansions 251<br/><br/>Appendix C Vector Spaces 253<br/><br/>Appendix D Greek Alphabet 255<br/><br/>Appendix E Common Abbreviations 257<br/><br/>Appendix F Copulas 259<br/><br/>Answers 263<br/><br/>References 303<br/><br/>About the Author 305<br/><br/>About the Companion Website 307<br/><br/>Index 309
520 ## - SUMMARY, ETC.
Summary, etc. Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics.<br/><br/>Now in its second edition with more topics, more sample problems and more real world examples, this popular guide to financial risk management introduces readers to practical quantitative techniques for analyzing and managing financial risk.<br/><br/>In a concise and easy-to-read style, each chapter introduces a different topic in mathematics or statistics. As different techniques are introduced, sample problems and application sections demonstrate how these techniques can be applied to actual risk management problems. Exercises at the end of each chapter and the accompanying solutions at the end of the book allow readers to practice the techniques they are learning and monitor their progress. A companion Web site includes interactive Excel spreadsheet examples and templates.<br/><br/>Mathematics and Statistics for Financial Risk Management is an indispensable reference for today’s financial risk professional.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Risk management--Mathematical models
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Accession Number Checked out Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Finance & Accounting IB/IN/1354 25-02-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 03/14/2022 International Book Centre 5458.27 2 1 332.015195 MIL 002134 03/09/2025 12/09/2024 12/09/2024 1 8301.55 03/14/2022 Book

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