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Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives

Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives

Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives

Jean-Pierre Fouque, University of California, Santa Barbara
George Papanicolaou, Stanford University, California
Ronnie Sircar, Princeton University, New Jersey
Knut Sølna, University of California, Irvine
November 2011
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Adobe eBook Reader
9781139153232
$84.99
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Adobe eBook Reader
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Hardback

    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.

    • Suitable for a graduate course in financial and applied mathematics
    • Addresses problems important to researchers in financial mathematics and to practitioners in the industry
    • Written by leading authorities in stochastic modelling

    Product details

    November 2011
    Adobe eBook Reader
    9781139153232
    0 pages
    0kg
    65 b/w illus.
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • 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.
      Authors
    • Jean-Pierre Fouque , University of California, Santa Barbara

      Jean-Pierre Fouque studied at the University Pierre and Marie Curie in Paris. He held positions at the French CNRS and École Polytechnique, and at North Carolina State University. Since 2006, he has been Professor and Director of the Center for Research in Financial Mathematics and Statistics at the University of California, Santa Barbara.

    • George Papanicolaou , Stanford University, California

      George Papanicolaou was Professor of Mathematics at the Courant Institute before moving to Stanford University in 1993. He is now Robert Grimmett Professor in the Department of Mathematics at Stanford.

    • Ronnie Sircar , Princeton University, New Jersey

      Ronnie Sircar taught for three years at the University of Michigan in the Department of Mathematics before moving to Princeton University in 2000. He is now a Professor in the Operations Research and Financial Engineering Department at Princeton and an affiliate member of the Bendheim Center for Finance and the Program in Applied and Computational Mathematics.

    • Knut Sølna , University of California, Irvine

      Knut Sølna is a Professor in the Department of Mathematics at the University of California, Irvine. He received his undergraduate and Master's degrees from the Norwegian University of Science and Technology and his doctorate from Stanford University. He was an instructor at the Department of Mathematics, University of Utah before moving to Irvine.