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Handbook of Heavy-Tailed Distributions in Asset Management and Risk Management

Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi () and Sergio M Focardi
Additional contact information
Michele Leonardo Bianchi: Banca d'Italia, Italy
Stoyan V Stoyanov: Stony Brook University, USA
Gian Luca Tassinari: University of Bologna, Italy
Sergio M Focardi: Léonard De Vinci University, France

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.

Keywords: Heavy Tail Distributions; Fat Tail Distributions; Lévy Processes; Tempered Stable Distributions; Multivariate Time-changed Brownian Motion; Extreme Value Theory; Risk Management (search for similar items in EconPapers)
JEL-codes: C02 G32 (search for similar items in EconPapers)
Date: 2019
ISBN: 9789813274914
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://www.worldscientific.com/worldscibooks/10.1142/11118 (text/html)
Ebook Access is available upon purchase

Chapters in this book:

Ch 1 Introduction , pp 3-21 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 2 Random Variables , pp 23-70 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 3 Stochastic Processes with Jumps , pp 71-106 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 4 The Generalized Hyperbolic Distribution , pp 109-148 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 5 The Class of Stable Distributions , pp 149-224 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 6 Tempered Stable Distributions , pp 225-275 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 7 Multivariate Time-Changed Brownian Motion , pp 277-321 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 8 Multivariate Time-Changed Brownian Motion: The Expectation–Maximization Estimation Method , pp 323-366 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 9 Extreme Value Theory , pp 367-430 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 10 A Portfolio Selection Analysis with Non-Gaussian Models , pp 433-461 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 11 Implied Volatility Smile with Non-Gaussian Processes , pp 463-516 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
Ch 12 Application of Extreme Value Theory to Estimate Tail Thickness for Asset Return Distributions , pp 517-547 Downloads
Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi

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