Product Description

The authors reconsider the problem of parametrically specifying distribution suitable for asset-return models. They describe alternative distributions, showing how they can be estimated and applied to stock-index and exchange-rate data. The implications for options pricing are also investigated.

Product Details

• Amazon Sales Rank: #1298944 in Books
• Published on: 2000-06-13
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 874 pages

From the Back Cover
"The adoption of stable modeling in finance and econometrics is undoubtedly one of the most interesting and promising ideas which has arisen in these fields. It is now widely accepted that classical models for the description of the dynamics of financial and economic variable suffer form major structural weaknesses, as they fail to explain important features of the empirical data. Therefore, the search for new more powerful models is a fundamental and fascinating topic of research. In this book, Rachev and Mittnik, two of the most prominent experts in so-called Stable Finance, present a wealth of convincing arguments to support the claim that stable models offer the right approach to the subject. Their monograph, which collects a large part of the authors' work in sable financial modeling, brings together innovative insights as well as new elegant explanations financial and economic phenomena..."
"...The book explains in a lucid and understandable manner how to extend a wide range of financial paradigms to the stable case, presenting both new theoretical results and empirical applications. The material covered is truly impressive in its breadth and quality, and will be of great interest to researchers and advanced graduate students, as well as practitioners looking for state-of-the-art models with a better fit to real data."
Eduardo S. Schwartz, Professor of Finance, Anderson School of Management, University of California

About the Author
Svetlozar Rachev is Chair-Professor in the School of Economics and Business Engineering at the University of Karlsruhe, and Professor Statistics and Economics at the University of California, Santa Barbara. He has published five monographs and more than 200 research articles. His research areas include mathematical and empirical finance, econometrics, probability, and statistics. He is a Fellow of the Institute of Mathematical Statistics, Elected Member of the International Statistical Institute, Foreign Member of the Russian Academy of Natural Sciences, and holds an honorary doctorate degree from ST. Petersburg Technical University.
Stefan Mittnik is Professor of Statistics and Empirical Economics at the University of Kiel and Director of the Institute of Statistics Econometrics. His academic and consulting work covers the areas of empirical finance, forecasting financial risk, portfolio management, computational finance, econometrics, and time series analysis.

Customer Reviews

A good source of information
The book is a good source of information on stable distributions (univariate and multivariate) and on their applications in different finance areas, including modeling of financial returns, portfolio analysis, option pricing, and risk management. The book might be helpful not only to finance researchers and practitioners but also to others who encounter heavy-tailed and/or skewed processes, for example, econometricians and actuaries.

Foreword, by Eduardo S. Schwartz,California Chair in Real Estate and Professor of Finance Anderson School of Management
The adoption of stable modeling in finance and econometrics is undoubtedly one of the most interesting and promising ideas which has arisen in these fields. It is now widely accepted that classical models for the description of the dynamics of financial and economic variables suffer from major structural weaknesses, as they fail to explain important features of the empirical data. Therefore, the search for new more powerful models is a fundamental and fascinating topic of research. In this book, Rachev and Mittnik, two of the most prominent experts in so-called Stable Finance, present a wealth of convincing arguments to support the claim that stable models offer the right approach to the subject. Their monograph, which collects a large part of the authors' work in stable financial modeling, brings together innovative insights as well as new elegant explanations of financial and economic phenomena. Eduardo S. Schwartz, California Chair in Real Estate and Professor of Finance Anderson School of Management University of California, Los Angeles September 1999