Details

Fat-Tailed and Skewed Asset Return Distributions

Implications for Risk Management, Portfolio Selection, and Option Pricing
Frank J. Fabozzi Series, Band 139 1. Aufl.

von: Svetlozar T. Rachev, Christian Menn, Frank J. Fabozzi
67,99 €
Verlag:	Wiley
Format:	PDF
Veröffentl.:	15.09.2005
ISBN/EAN:	9780471758907
Sprache:	englisch
Anzahl Seiten:	384

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Beschreibungen

Titelbeschreibung

While mainstream financial theories and applications assume that asset returns are normally distributed, overwhelming empirical evidence shows otherwise. Yet many professionals don’t appreciate the highly statistical models that take this empirical evidence into consideration. Fat-Tailed and Skewed Asset Return Distributions examines this dilemma and offers readers a less technical look at how portfolio selection, risk management, and option pricing modeling should and can be undertaken when the assumption of a non-normal distribution for asset returns is violated. Topics covered in this comprehensive book include an extensive discussion of probability distributions, estimating probability distributions, portfolio selection, alternative risk measures, and much more. Fat-Tailed and Skewed Asset Return Distributions provides a bridge between the highly technical theory of statistical distributional analysis, stochastic processes, and econometrics of financial returns and real-world risk management and investments.

Inhaltsverzeichnis

Preface. About the Authors. Chapter 1: Introduction. PART ONE: Probability and Statistics. Chapter 2: Discrete Probability Distributions. Chapter 3: Continuous Probability Distributions. Chapter 4: Describing a Probability Distribution Function: Statistical Moments and Quantiles. Chapter 5: Joint Probability Distributions. Chapter 6: Copulas. Chapter 7: Stable Distributions. Chapter 8: Estimation Methodologies. PART TWO: Stochastic Processes. Chapter 9: Stochastic Processes in Discrete Time and Time Series Analysis. Chapter 10: Stochastic Processes in Continuous Time. PART THREE: Portfolio Selection. Chapter 11: Equity and Bond Return Distributions. Chapter 12: Risk Measures and Portfolio Selection. Chapter 13: Risk Measures in Portfolio Optimization and Performance Measures. PART FOUR: Risk Management. Chapter 14: Market Risk. Chapter 15: Credit Risk. Chapter 16: Operational Risk. PART FIVE: Option Pricing. Chapter 17: Introduction to Option Pricing and the Binomial Model. Chapter 18: Black-Scholes Option Pricing Model. Chapter 19: Extension of the Black-Scholes Model and Alternative Approaches. INDEX.

Autorenportrait

SVETLOZAR T. RACHEV, PhD, DR. SCI, is currently Chair-Professor at the University of Karlsruhe in the School of Economics and Business Engineering and Professor Emeritus at the University of California. He is also the founder of Bravo Risk Management Group and Chief Scientist of FinAnalytica. CHRISTIAN MENN, DR. RER. POL., is Hochschulassistent at the Chair of Statistics, Econometrics and Mathematical Finance at the University of Karlsruhe. Currently, he is a Visiting Scientist at the School of Operations Research and Industrial Engineering at Cornell University as a postdoctoral fellow. FRANK J. FABOZZI, PhD, CFA, CPA, is the Frederick Frank Adjunct Professor of Finance at Yale University's School of Management. He is also a Fellow of the International Center for Finance at Yale University. Prior to joining the Yale faculty, Fabozzi was a visiting professor of finance in the Sloan School at MIT. Fabozzi has authored and edited many acclaimed books in finance and is also the Editor of the Journal of Portfolio Management.

Back cover copy

Fat-Tailed and Skewed Asset Return Distributions While mainstream financial theories and applications assume that asset returns are normally distributed, the overwhelming empirical evidence shows otherwise. Yet many professionals fail to appreciate the highly statistical models that take this empirical evidence into consideration. Svetlozar Rachev, Christian Menn, and Frank Fabozzi understand this dilemma, and in Fat-Tailed and Skewed Asset Return Distributions, they offer you a less technical look at how portfolio selection, risk management, and option pricing modeling should and can be undertaken when the assumption of a non-normal distribution for asset returns is violated. Topics covered in this comprehensive book include: <ul> <li>An extensive discussion of probability distributions used in finance</li> <li>Estimating probability distributions</li> <li>The basics of stochastic processes</li> <li>Portfolio selection and alternative risk measures</li> <li>Market, credit, and operational risk measurement</li> <li>Black-Scholes option pricing model and its extensions when the model's assumptions are modified to meet the empirical distributional evidence and tests</li> <li>And much more</li> </ul> Fat-Tailed and Skewed Asset Return Distributions provides a bridge between the highly technical theory of statistical distributional analysis, stochastic processes, and econometrics of financial returns and real-world risk management and investments.

Unpublished endorsement

"On the whole a valuable attempt to continue the work of Mandlebrot and others, to break the habit of treating the normal distribution curve as. . . normal." -- HedgeWorld News "This book is well-written by knowledgeable authors and provides readers with an excellent overview of where fat-tailed or skewed distributions may be needed. The book unfolds in a clear and easy-to-read way, and I would definitely recommend this as an excellent introductory text." -- Financial Engineering News, June 30, 2006