Stochastic Volatility Modeling: Advanced Methods and Empirical Finance Applications
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Stochastic Volatility Modeling provides an authoritative and comprehensive account of stochastic volatility (SV) models.
It covers their mathematical foundations, statistical inference, and applications in finance, economics, and other fields.
The book presents the theory of SV models in a rigorous and self-contained manner, with an emphasis on their applications in financial modeling.
It includes a detailed discussion of the estimation and forecasting of SV models, as well as their use in option pricing, risk management, and portfolio optimization.
The book is written by leading experts in the field and is suitable for researchers, practitioners, and graduate students in finance, economics, and statistics.
It is also a valuable resource for anyone interested in the latest developments in stochastic volatility modeling.
The book is well-written and accessible, with numerous examples and exercises to illustrate the concepts discussed.
It is a must-have for anyone interested in stochastic volatility modeling.
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