The recent upheaval of the global financial system has enhanced the need for improved statistical tools for financial modeling and analysis. To fill that need, expert authors Svetlozar Rachev, Markus Hchsttter, 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.

In order to remain competitive in the intensely quantitative field of finance, you need a firm understanding of the foundations of finance: probability and statistics. Expert authors Svetlozar (Zari) Rachev, Markus Hchsttter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance for that reason.

Engaging and informative, this reliable guide not only covers introductory material on probability and statistics for students and practitioners, but also provides unique coverage of specific topics that are of special interest to finance professionals, researchers, and academics.

Divided into four comprehensive parts, Probability and Statistics for Finance:

• Discusses descriptive statistics: the different methods for gathering data and presenting them in the most succinct way

• Covers the basics of probability theory as well as the different types of probability distributions, parameters of a probability distribution, joint and conditional probability distributions, continuous probability distributions dealing with extreme events, and dependence measures for two random variables beyond the correlation measure such as the copula function

• Explores statistical inference: the method of drawing information from sample data about unknown parameters of the population from which the sample was drawn

• Provides in-depth coverage of the most widely used statistical tools in finance--multivarate regression analysis--from the basics to building models

To provide readers with a complete understanding of the various topics touched upon throughout, the book includes appendices that cover the fundamentals of functions and their features, matrix operations, and binomial and multinomial coefficients.

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 pricing, risk management, and credit risk modeling to probability distributions that deal with extreme events and statistical measures. With this book, discover how probability and statistics can help you effectively navigate even the most complex financial terrain.