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
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Citations: View citations in EconPapers (10)
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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

- Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
- Ch 2 Random Variables , pp 23-70

- Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
- Ch 3 Stochastic Processes with Jumps , pp 71-106

- Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
- Ch 4 The Generalized Hyperbolic Distribution , pp 109-148

- 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

- Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
- Ch 6 Tempered Stable Distributions , pp 225-275

- 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

- 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

- Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
- Ch 9 Extreme Value Theory , pp 367-430

- 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

- 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

- 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

- Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank Fabozzi and Sergio M Focardi
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