Building upon the ideas introduced in their previous book, Derivatives in Financial Markets with Stochastic Volatility, the authors study the pricing and hedging of financial derivatives under stochastic volatility in equity, interest-rate, and credit markets. They present and analyze multiscale stochastic volatility models and asymptotic approximations. These can be used in equity markets, for instance, to link the prices of path-dependent exotic instruments to market implied volatilities. The methods are also used for interest rate and credit derivatives. Other applications considered include variance-reduction techniques, portfolio optimization, forward-looking estimation of CAPM 'beta', and the Heston model and generalizations of it. 'Off-the-shelf' formulas and calibration tools are provided to ease the transition for practitioners who adopt this new method. The attention to detail and explicit presentation make this also an excellent text for a graduate course in financial and applied mathematics.

Introduction
1. The Black–Scholes theory of derivative pricing
2. Introduction to stochastic volatility models
3. Volatility time scales
4. First order perturbation theory
5. Implied volatility formulas and calibration
6. Application to exotic derivatives
7. Application to American derivatives
8. Hedging strategies
9. Extensions
10. Around the Heston model
11. Other applications
12. Interest rate models
13. Credit risk I: structural models with stochastic volatility
14. Credit risk II: multiscale intensity-based models
15. Epilogue
Bibliography
Index.

Subject Areas: Stochastics [PBWL], Applied mathematics [PBW], Finance [KFF]