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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9959232493302883
    Format: 1 online resource (xiii, 441 pages) : , digital, PDF file(s).
    Edition: 1st ed.
    ISBN: 1-107-22565-5 , 1-283-34216-2 , 1-139-15982-8 , 9786613342164 , 1-139-16082-6 , 1-139-15526-1 , 1-139-15701-9 , 1-139-15877-5 , 1-139-02053-6
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Cover; MULTISCALE STOCHASTIC VOLATILITY FOR EQUITY, INTEREST RATE, AND CREDIT DERIVATIVES; Title; Copyright; To our families and students; Contents; Introduction; 1 The Black-Scholes Theory of Derivative Pricing; 1.1 Market Model; 1.2 Derivative Contracts; 1.3 Replicating Strategies; 1.4 Risk-Neutral Pricing; 1.5 Risk-Neutral Expectations and Partial Differential Equations; 1.6 American Options and Free Boundary Problems; 1.7 Path-Dependent Derivatives; 1.8 First-Passage Structural Approach to Default; 1.9 Multidimensional Stochastic Calculus; 1.10 Complete Market , 2 Introduction to Stochastic Volatility Models2.1 Implied Volatility Surface; 2.2 Local Volatility; 2.3 Stochastic Volatility Models; 2.4 Derivative Pricing; 2.5 General Results on Stochastic Volatility Models; 2.6 Summary and Conclusions; 3 Volatility Time Scales; 3.1 A Simple Picture of Fast and Slow Time Scales; 3.2 Ergodicity and Mean-Reversion; 3.3 Examples of Mean-Reverting Processes; 3.4 Time Scales in Synthetic Returns Data; 3.5 Time Scales in Market Data; 3.6 Multiscale Models; 4 First-Order Perturbation Theory; 4.1 Option Pricing under Multiscale Stochastic Volatility , 4.2 Formal Regular and Singular Perturbation Analysis4.3 Parameter Reduction; 4.4 First-Order Approximation: Summary and Discussion; 4.5 Accuracy of First-Order Approximation; 5 Implied Volatility Formulas and Calibration; 5.1 Approximate Call Prices and Implied Volatilities; 5.2 Calibration Procedure; 5.3 Illustration with S&P 500 Data; 5.4 Maturity Cycles; 5.5 Higher-Order Corrections; 6 Application to Exotic Derivatives; 6.1 European Binary Options; 6.2 Barrier Options; 6.3 Asian Options; 7 Application to American Derivatives; 7.1 American Options Valuation under Stochastic Volatility , 7.2 Stochastic Volatility Correction for American Put7.3 Parameter Reduction; 7.4 Summary; 8 Hedging Strategies; 8.1 Black-Scholes Delta Hedging; 8.2 The Strategy and its Cost; 8.3 Mean Self-Financing Hedging Strategy; 8.4 A Strategy with Frozen Parameters; 8.5 Strategies Based on Implied Volatilities; 8.6 Martingale Approach to Pricing; 8.7 Non-Markovian Models of Volatility; 9 Extensions; 9.1 Dividends and Varying Interest Rates; 9.2 Probabilistic Representation of the Approximate Prices; 9.3 Second-Order Correction from Fast Scale; 9.4 Second-Order Corrections from Slow and Fast Scales , 9.5 Periodic Day Effect9.6 Markovian Jump Volatility Models; 9.7 Multidimensional Models; 10 Around the Heston Model; 10.1 The Heston Model; 10.2 Approximations to the Heston Model; 10.3 A Fast Mean-Reverting Correction to the Heston Model; 10.4 Large Deviations and Short Maturity Asymptotics; 11 Other Applications; 11.1 Application to Variance Reduction in Monte Carlo Computations; 11.2 Portfolio Optimization under Stochastic Volatility; 11.3 Application to CAPM Forward-Looking Beta Estimation; 12 Interest Rate Models; 12.1 The Vasicek Model; 12.2 The Bond Price and its Expansion , 12.3 The Quadratic Model , English
    Additional Edition: ISBN 1-139-15323-4
    Additional Edition: ISBN 0-521-84358-8
    Language: English
    Subjects: Economics
    RVK:
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
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  • 2
    UID:
    kobvindex_INT71187
    Format: 1 online resource (458 pages)
    Edition: 1st ed.
    ISBN: 9780521843584 , 9781139157018
    Content: This research monograph in financial mathematics can also be used as a graduate-level textbook. It explains financial models in which volatility of assets changes randomly over time. These are analyzed with a powerful approximation method and tested on financial data. More advanced topics are discussed in later chapters
    Note: Cover -- MULTISCALE STOCHASTIC VOLATILITY FOR EQUITY, INTEREST RATE, AND CREDIT DERIVATIVES -- Title -- Copyright -- To our families and students -- Contents -- Introduction -- 1 The Black-Scholes Theory of Derivative Pricing -- 1.1 Market Model -- 1.2 Derivative Contracts -- 1.3 Replicating Strategies -- 1.4 Risk-Neutral Pricing -- 1.5 Risk-Neutral Expectations and Partial Differential Equations -- 1.6 American Options and Free Boundary Problems -- 1.7 Path-Dependent Derivatives -- 1.8 First-Passage Structural Approach to Default -- 1.9 Multidimensional Stochastic Calculus -- 1.10 Complete Market -- 2 Introduction to Stochastic Volatility Models -- 2.1 Implied Volatility Surface -- 2.2 Local Volatility -- 2.3 Stochastic Volatility Models -- 2.4 Derivative Pricing -- 2.5 General Results on Stochastic Volatility Models -- 2.6 Summary and Conclusions -- 3 Volatility Time Scales -- 3.1 A Simple Picture of Fast and Slow Time Scales -- 3.2 Ergodicity and Mean-Reversion -- 3.3 Examples of Mean-Reverting Processes -- 3.4 Time Scales in Synthetic Returns Data -- 3.5 Time Scales in Market Data -- 3.6 Multiscale Models -- 4 First-Order Perturbation Theory -- 4.1 Option Pricing under Multiscale Stochastic Volatility -- 4.2 Formal Regular and Singular Perturbation Analysis -- 4.3 Parameter Reduction -- 4.4 First-Order Approximation: Summary and Discussion -- 4.5 Accuracy of First-Order Approximation -- 5 Implied Volatility Formulas and Calibration -- 5.1 Approximate Call Prices and Implied Volatilities -- 5.2 Calibration Procedure -- 5.3 Illustration with S& -- P 500 Data -- 5.4 Maturity Cycles -- 5.5 Higher-Order Corrections -- 6 Application to Exotic Derivatives -- 6.1 European Binary Options -- 6.2 Barrier Options -- 6.3 Asian Options -- 7 Application to American Derivatives -- 7.1 American Options Valuation under Stochastic Volatility , 7.2 Stochastic Volatility Correction for American Put -- 7.3 Parameter Reduction -- 7.4 Summary -- 8 Hedging Strategies -- 8.1 Black-Scholes Delta Hedging -- 8.2 The Strategy and its Cost -- 8.3 Mean Self-Financing Hedging Strategy -- 8.4 A Strategy with Frozen Parameters -- 8.5 Strategies Based on Implied Volatilities -- 8.6 Martingale Approach to Pricing -- 8.7 Non-Markovian Models of Volatility -- 9 Extensions -- 9.1 Dividends and Varying Interest Rates -- 9.2 Probabilistic Representation of the Approximate Prices -- 9.3 Second-Order Correction from Fast Scale -- 9.4 Second-Order Corrections from Slow and Fast Scales -- 9.5 Periodic Day Effect -- 9.6 Markovian Jump Volatility Models -- 9.7 Multidimensional Models -- 10 Around the Heston Model -- 10.1 The Heston Model -- 10.2 Approximations to the Heston Model -- 10.3 A Fast Mean-Reverting Correction to the Heston Model -- 10.4 Large Deviations and Short Maturity Asymptotics -- 11 Other Applications -- 11.1 Application to Variance Reduction in Monte Carlo Computations -- 11.2 Portfolio Optimization under Stochastic Volatility -- 11.3 Application to CAPM Forward-Looking Beta Estimation -- 12 Interest Rate Models -- 12.1 The Vasicek Model -- 12.2 The Bond Price and its Expansion -- 12.3 The Quadratic Model -- 12.4 The CIR Model -- 12.5 Options on Bonds -- 13 Credit Risk I: Structural Models with Stochastic Volatility -- 13.1 Single-Name Credit Derivatives -- 13.2 Multiname Credit Derivatives -- 14 Credit Risk II: Multiscale Intensity-Based Models -- 14.1 Background on Stochastic Intensity Models -- 14.2 Multiname Credit Derivatives -- 14.3 Symmetric Vasicek Model -- 14.4 Homogeneous Group Structure -- 15 Epilogue -- References -- Index
    Additional Edition: Print version Fouque, Jean-Pierre Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives Cambridge : Cambridge University Press,c2011 ISBN 9780521843584
    Language: English
    Keywords: Electronic books
    URL: FULL  ((OIS Credentials Required))
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  • 3
    UID:
    b3kat_BV021236141
    Format: XIII, 441 S. , graph. Darst.
    Edition: 1. publ.
    ISBN: 0521843588 , 9780521843584
    Language: Undetermined
    Subjects: Economics
    RVK:
    Keywords: Mehrskalenmodell ; Volatilität ; Kreditderivat
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  • 4
    UID:
    almahu_9948315325602882
    Format: xiii, 441 p. : , ill.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Language: English
    Keywords: Electronic books.
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