<p><span>This treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for estimating model parameters and forecasting the volatility and quantiles of financial asset returns. The modeling of financial time ser
Stochastic Volatility Modeling
โ Scribed by Bergomi, Lorenzo
- Publisher
- CRC Press
- Year
- 2015
- Tongue
- English
- Leaves
- 520
- Series
- Chapman & Hall/CRC financial mathematics series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: Front Cover
Contents
Preface
Chapter 1: Introduction
Chapter 2: Local volatility
Chapter 3: Forward-start options
Chapter 4: Stochastic volatility --
introduction
Chapter 5: Variance swaps
Chapter 6: An example of one-factor dynamics: the Heston model
Chapter 7: Forward variance models
Chapter 8: The smile of stochastic volatility models
Chapter 9: Linking static and dynamic properties of stochastic volatility models
Chapter 10: What causes equity smiles?
Chapter 11: Multi-asset stochastic volatility
Chapter 12: Local-stochastic volatility models
Epilogue
Bibliography
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