Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management Hardback
Edited by Michele Leonardo (Bank Of Italy, Italy) Bianchi, Stoyan V (-) Stoyanov, Gian Luca (Univ Of Bologna, Italy) Tassinari, Frank J (Johns Hopkins Univ, Usa) Fabozzi, Sergio (Leonard De Vinci Pole Univ, France) Focardi
Part of the World Scientific Handbook in Financial Economics Series series
Hardback
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Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:600 pages
- Publisher:World Scientific Publishing Co Pte Ltd
- Publication Date:25/03/2019
- Category:
- ISBN:9789813274914
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:600 pages
- Publisher:World Scientific Publishing Co Pte Ltd
- Publication Date:25/03/2019
- Category:
- ISBN:9789813274914