Financial Models with Levy Processes and Volatility Clusteri
Financial Models with Levy Processes and Volatility Clustering
Svetlozar T. Rachev; Young Shin Kim; Michele L. Bianchi; Frank J. Fabozzi
US$ 110.00
John Wiley & Sons, Inc.; February 2011
416 pages; ISBN-13: 9780470937266
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An in-depth guide to understanding probability distributions and financial modeling for the purposes of investment management
In Financial Models with Lévy Processes and Volatility Clustering, the expert Author: team provides a framework to model the behavior of stock retus in both a univariate and a multivariate setting, providing you with practical applications to option pricing and portfolio management. They also explain the reasons for working with non-normal distribution in financial modeling and the best methodologies for employing itThe book's framework includes the basics of probability distributions and explains the alpha-stable distribution and the tempered stable distribution. The Author: s also explore discrete time option pricing models, beginning with the classical normal model with volatility clustering to more recent models that consider both volatility clustering and heavy tails
Reviews the basics of probability distributions
Analyzes a continuous time option pricing model (the so-called exponential Lévy model)
Defines a discrete time model with volatility clustering and how to price options using Monte Carlo methods
Studies two multivariate settings that are suitable to explain joint extreme events
Financial Models with Lévy Processes and Volatility Clustering is a thorough guide to classical probability distribution methods and brand new methodologies for financial modeling. <<
An in-depth guide to understanding probability distributions and financial modeling for the purposes of investment management
In Financial Models with Lévy Processes and Volatility Clustering, the expert Author: team provides a framework to model the behavior of stock retus in both a univariate and a multivariate setting, providing you with practical applications to option pricing and portfolio management. They also explain the reasons for working with non-normal distribution in financial modeling and the best methodologies for employing itThe book's framework includes the basics of probability distributions and explains the alpha-stable distribution and the tempered stable distribution. The Author: s also explore discrete time option pricing models, beginning with the classical normal model with volatility clustering to more recent models that consider both volatility clustering and heavy tails
Reviews the basics of probability distributions
Analyzes a continuous time option pricing model (the so-called exponential Lévy model)
Defines a discrete time model with volatility clustering and how to price options using Monte Carlo methods
Studies two multivariate settings that are suitable to explain joint extreme events
Financial Models with Lévy Processes and Volatility Clustering is a thorough guide to classical probability distribution methods and brand new methodologies for financial modeling. <<