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 ...

For similar books, see sections:

Finance - Financial Econometrics

Finance - Portfolio Theory

Financial Engineering - Intermediate Theory

Financial Engineering - Advanced Theory

Financial Engineering - Modeling Volatility

Math - Probability

Math - Financial Math

Math - Time Series Analysis

Math - Extreme Value Theory

Portfolio Management - Allocation/Optimization

Risk Management - Market Risk

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