E-Book Overview
A comprehensive look at how probability and statistics is applied to the investment process
Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline.Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery. • Outlines an array of topics in probability and statistics and how to apply them in the world of finance• Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis• Offers real-world illustrations of the issues addressed throughout the textThe authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.
E-Book Content
(continued from front flap) SVETLOZAR T. RACHEV, PHD, DSC, is Chair Professor at the University of Karlsruhe in the School of Economics and Business Engineering, and Professor Emeritus at the University of California, Santa Barbara, in the Department of Statistics and Applied Probability. He was cofounder of Bravo Risk Management Group, acquired by FinAnalytica, where he currently serves as Chief Scientist. MARKUS HÖCHSTÖTTER, PHD, is an Assistant Professor in the Department of Econometrics and Statistics, University of Karlsruhe. FRANK J. FABOZZI, PHD, CFA, CPA, is Professor in the Practice of Finance and Becton Fellow at the Yale School of Management and Editor of the Journal of Portfolio Management. He is an Affiliated Professor at the University of Karlsruhe’s Institute of Statistics, Econometrics and Mathematical Finance, and is on the Advisory Council for the Department of Operations Research and Financial Engineering at Princeton University. SERGIO M. FOCARDI, PHD, is a Professor of Finance at EDHEC Business School and founding partner of the Paris-based consulting firm Intertek Group plc. Jacket Illustration: iStockphoto PROBABILITY and STATISTICS for FINANCE The recent upheaval of the global fi nancial system has enhanced the need for improved statistical tools for financial modeling and analysis. To fi ll that need, expert authors Svetlozar Rachev, Markus Höchstötter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance. Filled with in-depth insights and practical advice, this book guides readers from the basic elements of probability and statistics to the most advanced topics. Along the way, it covers everything from the application of probability to portfolio management, asset pricing, risk management, and credit risk modeling to probability distributions that deal with extreme events and statistical measures. This book: • Outlines an array of topics in probability and statistics and how to apply them in the world of finance • Offers detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis • Provides real-world illustrations of the issues addressed throughout the text • And much more Written with financial professionals, academics, and aspiring students in mind, Probability and Statistics for Finance has what you need to stay current and succeed in this fast-moving field. PROBABILITY and STATISTICS for FINANCE Written for both financial professionals and individuals aspiring to enter this field, Probability and Statistics for Finance addresses an array of important issues—from applying probability to portfolio management, asset prici