Financial Modeling Under Non-Gaussian
Distributions
Not another fringe book pushing non-Pareto
distributions, fractals and chaos theory, this scholarly text delves into
practical non-normal distributions and heteroskedastic processes,
including GARCH and stochastic volatility models. There is plenty of
material on copulas and multi-variate GARCH. Applications
include value-at-risk, portfolio optimization and financial engineering.
The book is more scholarly than practical, but even practitioners will
benefit from the wealth of modeling techniques and citations of recent scholarly literature ...