Mathematics and Statistics for Financial Risk Management
Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics. It 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. Mathematics and Statistics for Financial Risk Management is an indispensable reference for today's financial risk professional.
Praise for Mathematics and Statistics for Financial Risk Management
"The first edition of this work was clear, comprehensive, and up-to-date. The Second Edition is all that and includes important new material on Bayesian and classical methods. Extensive examples and problems make clear how these concepts are used in the world's top financial institutions. The book is perfect for self-study or classroom use."
― Aaron Brown, author of Red-Blooded Risk, A World of Chance, and The Poker Face of Wall Street
"Michael B. Miller provides a very accessible ride across the daunting waters of mathematics for quantitative risk management."
― Attilio Meucci, founder, SYMMYS
"At every turn, this book shows the relevance of mathematical and statistical concepts to risk management. They are no longer the desiccated notions found in most textbooks but assume a sense of vibrancy. So, if you're trying to hone your skills, this book is a great place to start."