An in-depth guide to understanding probability distributions and
financial modeling for the purposes of investment management
In "Financial Models with Levy Processes and Volatility
Clustering," the expert author team provides a framework to model
the behavior of stock returns 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 it.
The book's framework includes the basics of probability
distributions and explains the alpha-stable distribution and the
tempered stable distribution. The authors 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 distributionsAnalyzes a continuous time
option pricing model (the so-called exponential Levy model)Defines
a discrete time model with volatility clustering and how to price
options using Monte Carlo methodsStudies two multivariate settings
that are suitable to explain joint extreme events
"Financial Models with Levy Processes and Volatility Clustering"
is a thorough guide to classical probability distribution methods
and brand new methodologies for financial modeling.
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