Description

Book Synopsis

Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics.

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.

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.

Mathematics and Statistics for Financi

Table of Contents

Preface ix

What’s New in the Second Edition xi

Acknowledgments xiii

Chapter 1 Some Basic Math 1

Logarithms 1

Log Returns 2

Compounding 3

Limited Liability 4

Graphing Log Returns 5

Continuously Compounded Returns 6

Combinatorics 8

Discount Factors 9

Geometric Series 9

Problems 14

Chapter 2 Probabilities 15

Discrete Random Variables 15

Continuous Random Variables 15

Mutually Exclusive Events 21

Independent Events 22

Probability Matrices 22

Conditional Probability 24

Problems 26

Chapter 3 Basic Statistics 29

Averages 29

Expectations 34

Variance and Standard Deviation 39

Standardized Variables 41

Covariance 42

Correlation 43

Application: Portfolio Variance and Hedging 44

Moments 47

Skewness 48

Kurtosis 51

Coskewness and Cokurtosis 53

Best Linear Unbiased Estimator (BLUE) 57

Problems 58

Chapter 4 Distributions 61

Parametric Distributions 61

Uniform Distribution 61

Bernoulli Distribution 63

Binomial Distribution 65

Poisson Distribution 68

Normal Distribution 69

Lognormal Distribution 72

Central Limit Theorem 73

Application: Monte Carlo Simulations Part I: Creating Normal Random Variables 76

Chi-Squared Distribution 77

Student’s t Distribution 78

F-Distribution 79

Triangular Distribution 81

Beta Distribution 82

Mixture Distributions 83

Problems 86

Chapter 5 Multivariate Distributions and Copulas 89

Multivariate Distributions 89

Copulas 97

Problems 111

Chapter 6 Bayesian Analysis 113

Overview 113

Bayes’ Theorem 113

Bayes versus Frequentists 119

Many-State Problems 120

Continuous Distributions 124

Bayesian Networks 128

Bayesian Networks versus Correlation Matrices 130

Problems 132

Chapter 7 Hypothesis Testing and Confidence Intervals 135

Sample Mean Revisited 135

Sample Variance Revisited 137

Confidence Intervals 137

Hypothesis Testing 139

Chebyshev’s Inequality 142

Application: VaR 142

Problems 152

Chapter 8 Matrix Algebra 155

Matrix Notation 155

Matrix Operations 156

Application: Transition Matrices 163

Application: Monte Carlo Simulations Part II: Cholesky Decomposition 165

Problems 168

Chapter 9 Vector Spaces 169

Vectors Revisited 169

Orthogonality 172

Rotation 177

Principal Component Analysis 181

Application: The Dynamic Term Structure of Interest Rates 185

Application: The Structure of Global Equity Markets 191

Problems 193

Chapter 10 Linear Regression Analysis 195

Linear Regression (One Regressor) 195

Linear Regression (Multivariate) 203

Application: Factor Analysis 208

Application: Stress Testing 211

Problems 212

Chapter 11 Time Series Models 215

Random Walks 215

Drift-Diffusion Model 216

Autoregression 217

Variance and Autocorrelation 222

Stationarity 223

Moving Average 227

Continuous Models 228

Application: GARCH 230

Application: Jump-Diffusion Model 232

Application: Interest Rate Models 232

Problems 234

Chapter 12 Decay Factors 237

Mean 237

Variance 243

Weighted Least Squares 244

Other Possibilities 245

Application: Hybrid VaR 245

Problems 247

Appendix A Binary Numbers 249

Appendix B Taylor Expansions 251

Appendix C Vector Spaces 253

Appendix D Greek Alphabet 255

Appendix E Common Abbreviations 257

Appendix F Copulas 259

Answers 263

References 303

About the Author 305

About the Companion Website 307

Index 309

Mathematics and Statistics for Financial Risk

    Product form

    £63.00

    Includes FREE delivery

    RRP £84.00 – you save £21.00 (25%)

    Order before 4pm tomorrow for delivery by Sat 13 Jun 2026.

    A Hardback by Michael B. Miller

    1 in stock


      View other formats and editions of Mathematics and Statistics for Financial Risk by Michael B. Miller

      Publisher: John Wiley & Sons Inc
      Publication Date: 07/02/2014
      ISBN13: 9781118750292, 978-1118750292
      ISBN10: 1118750292

      Description

      Book Synopsis

      Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics.

      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.

      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.

      Mathematics and Statistics for Financi

      Table of Contents

      Preface ix

      What’s New in the Second Edition xi

      Acknowledgments xiii

      Chapter 1 Some Basic Math 1

      Logarithms 1

      Log Returns 2

      Compounding 3

      Limited Liability 4

      Graphing Log Returns 5

      Continuously Compounded Returns 6

      Combinatorics 8

      Discount Factors 9

      Geometric Series 9

      Problems 14

      Chapter 2 Probabilities 15

      Discrete Random Variables 15

      Continuous Random Variables 15

      Mutually Exclusive Events 21

      Independent Events 22

      Probability Matrices 22

      Conditional Probability 24

      Problems 26

      Chapter 3 Basic Statistics 29

      Averages 29

      Expectations 34

      Variance and Standard Deviation 39

      Standardized Variables 41

      Covariance 42

      Correlation 43

      Application: Portfolio Variance and Hedging 44

      Moments 47

      Skewness 48

      Kurtosis 51

      Coskewness and Cokurtosis 53

      Best Linear Unbiased Estimator (BLUE) 57

      Problems 58

      Chapter 4 Distributions 61

      Parametric Distributions 61

      Uniform Distribution 61

      Bernoulli Distribution 63

      Binomial Distribution 65

      Poisson Distribution 68

      Normal Distribution 69

      Lognormal Distribution 72

      Central Limit Theorem 73

      Application: Monte Carlo Simulations Part I: Creating Normal Random Variables 76

      Chi-Squared Distribution 77

      Student’s t Distribution 78

      F-Distribution 79

      Triangular Distribution 81

      Beta Distribution 82

      Mixture Distributions 83

      Problems 86

      Chapter 5 Multivariate Distributions and Copulas 89

      Multivariate Distributions 89

      Copulas 97

      Problems 111

      Chapter 6 Bayesian Analysis 113

      Overview 113

      Bayes’ Theorem 113

      Bayes versus Frequentists 119

      Many-State Problems 120

      Continuous Distributions 124

      Bayesian Networks 128

      Bayesian Networks versus Correlation Matrices 130

      Problems 132

      Chapter 7 Hypothesis Testing and Confidence Intervals 135

      Sample Mean Revisited 135

      Sample Variance Revisited 137

      Confidence Intervals 137

      Hypothesis Testing 139

      Chebyshev’s Inequality 142

      Application: VaR 142

      Problems 152

      Chapter 8 Matrix Algebra 155

      Matrix Notation 155

      Matrix Operations 156

      Application: Transition Matrices 163

      Application: Monte Carlo Simulations Part II: Cholesky Decomposition 165

      Problems 168

      Chapter 9 Vector Spaces 169

      Vectors Revisited 169

      Orthogonality 172

      Rotation 177

      Principal Component Analysis 181

      Application: The Dynamic Term Structure of Interest Rates 185

      Application: The Structure of Global Equity Markets 191

      Problems 193

      Chapter 10 Linear Regression Analysis 195

      Linear Regression (One Regressor) 195

      Linear Regression (Multivariate) 203

      Application: Factor Analysis 208

      Application: Stress Testing 211

      Problems 212

      Chapter 11 Time Series Models 215

      Random Walks 215

      Drift-Diffusion Model 216

      Autoregression 217

      Variance and Autocorrelation 222

      Stationarity 223

      Moving Average 227

      Continuous Models 228

      Application: GARCH 230

      Application: Jump-Diffusion Model 232

      Application: Interest Rate Models 232

      Problems 234

      Chapter 12 Decay Factors 237

      Mean 237

      Variance 243

      Weighted Least Squares 244

      Other Possibilities 245

      Application: Hybrid VaR 245

      Problems 247

      Appendix A Binary Numbers 249

      Appendix B Taylor Expansions 251

      Appendix C Vector Spaces 253

      Appendix D Greek Alphabet 255

      Appendix E Common Abbreviations 257

      Appendix F Copulas 259

      Answers 263

      References 303

      About the Author 305

      About the Companion Website 307

      Index 309

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account