Cover image for Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities.
Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities.
Title:
Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities.
Author:
Swishchuk, Anatoly.
ISBN:
9789814440134
Personal Author:
Physical Description:
1 online resource (326 pages)
Contents:
Contents -- Preface -- Acknowledgments -- 1. Stochastic Volatility -- 1.1 Introduction -- 1.2 Non-Stochastic Volatilities -- 1.2.1 Historical Volatility -- 1.2.2 Implied Volatility -- 1.2.3 Level-Dependent Volatility and Local Volatility -- 1.3 Stochastic Volatility -- 1.3.1 Approaches to Introduce Stochastic Volatility -- 1.3.2 Discrete Models for Stochastic Volatility -- 1.3.3 Jump-Diffusion Volatility -- 1.3.4 Multi-Factor Models for Stochastic Volatility -- 1.4 Summary -- Bibliography -- 2. Stochastic Volatility Models -- 2.1 Introduction -- 2.2 Heston Stochastic Volatility Model -- 2.3 Stochastic Volatility with Delay -- 2.4 Multi-Factor Stochastic Volatility Models -- 2.5 Stochastic Volatility Models with Delay and Jumps -- 2.6 Levy-Based Stochastic Volatility with Delay -- 2.7 Delayed Heston Model -- 2.8 Semi-Markov-Modulated Stochastic Volatility -- 2.9 COGARCH(1,1) Stochastic Volatility Model -- 2.10 Stochastic Volatility Driven by Fractional Brownian Motion -- 2.10.1 Stochastic Volatility Driven by Fractional Ornstein-Uhlenbeck Process -- 2.10.2 Stochastic Volatility Driven by Fractional Vasicek Process -- 2.10.3 Markets with Stochastic Volatility Driven by Geometric Fractional Brownian Motion -- 2.10.4 Stochastic Volatility Driven by Fractional Continuous- Time GARCH Process -- 2.11 Mean-Reverting Stochastic Volatility Model (Continuous-Time GARCH Model) in Energy Markets -- 2.12 Summary -- Bibliography -- 3. Swaps -- 3.1 Introduction -- 3.2 Definitions of Swaps -- 3.2.1 Variance and Volatility Swaps -- 3.2.2 Covariance and Correlation Swaps -- 3.2.3 Pseudo-Swaps -- 3.3 Summary -- Bibliography -- 4. Change of Time Methods -- 4.1 Introduction -- 4.2 Descriptions of the Change of Time Methods -- 4.2.1 The General Theory of Time Changes -- 4.2.1.1 Martingale and Semimartingale Settings of Change of Time.

4.2.1.2 Stochastic Differential Equations Setting of Change of Time -- 4.2.2 Subordinators as Time Changes -- 4.2.2.1 Subordinators -- 4.2.2.2 Subordinators and Stochastic Volatility -- 4.3 Applications of Change of Time Method -- 4.3.1 Black-Scholes by Change of Time Method -- 4.3.2 An Option Pricing Formula for a Mean-Reverting Asset Model Using a Change of Time Method -- 4.3.3 Swaps by Change of Time Method in Classical Heston Model -- 4.3.4 Swaps by Change of Time Method in Delayed Heston Model -- 4.4 Different Settings of the Change of Time Method -- 4.4.0.1 Change of Time Method in Martingale Setting -- 4.4.0.2 Change of Time Method in Stochastic Differential Equation Setting -- 4.4.0.3 Examples: Solutions of Some SDEs17 -- 4.5 Summary -- Bibliography -- 5. Black-Scholes Formula by Change of Time Method -- 5.1 Introduction -- 5.2 Black-Scholes Formula by Change of Time Method -- 5.2.1 Black-Scholes Formula -- 5.2.2 Solution of SDE for Geometric Brownian Motion using Change of Time Method -- 5.2.3 Properties of the Process W ( t-1) -- 5.3 Black-Scholes Formula by Change of Time Method -- 5.4 Summary -- Bibliography -- 6. Modeling and Pricing of Swaps for Heston Model -- 6.1 Introduction -- 6.2 Variance and Volatility Swaps -- 6.2.1 Variance and Volatility Swaps for Heston Model -- 6.2.1.1 Stochastic Volatility Model -- 6.2.1.2 Explicit Expression for t2 -- 6.2.1.3 Properties of Processes w2( t-1) and t2 -- 6.2.1.4 Valuing Variance and Volatility Swaps -- 6.2.1.5 Calculation of E{V} in Discrete Case -- 6.3 Covariance and Correlation Swaps for Two Assets with Stochastic Volatilities -- 6.3.1 Definitions of Covariance and Correlation Swaps -- 6.3.2 Valuing of Covariance and Correlation Swaps -- 6.3.3 Variance Swaps for Levy-Based Heston Model -- 6.4 Numerical Example: S&P60 Canada Index -- 6.5 Summary -- Bibliography.

7. Modeling and Pricing of Variance Swaps for Stochastic Volatilities with Delay -- 7.1 Introduction -- 7.2 Variance Swaps -- 7.2.1 Modeling of Financial Markets with Stochastic Volatility with Delay -- 7.2.1.1 Model of Financial Markets with Delay -- 7.2.1.2 Continuous-time GARCH model for Stochastic Volatility with Delay -- 7.2.2 Variance Swaps for Stochastic Volatility with Delay -- 7.2.2.1 Key Features of Stochastic Volatility Model with Delay -- 7.2.2.2 Valuing of Variance Swaps with Delay in Stationary Regime under Risk-Neutral Measure -- 7.2.2.3 Valuing of Variance Swaps with Delay in General Case -- 7.2.3 Delay as A Measure of Risk -- 7.2.4 Comparison of Stochastic Volatility in Heston Model and Stochastic Volatility with Delay -- 7.3 Numerical Example 1: S&P60 Canada Index -- 7.4 Numerical Example 2: S&P500 Index -- 7.5 Summary -- Bibliography -- 8. Modeling and Pricing of Variance Swaps for Multi-Factor Stochastic Volatilities with Delay -- 8.1 Introduction -- 8.1.1 Variance Swaps -- 8.1.2 Volatility -- 8.2 Multi-Factor Models -- 8.3 Multi-Factor Stochastic Volatility Models with Delay -- 8.4 Pricing of Variance Swaps for Multi-Factor Stochastic Volatility Models with Delay -- 8.4.1 Pricing of Variance Swap for Two-Factor Stochastic Volatility Model with Delay and with Geometric Brownian Motion Mean-Reversion -- 8.4.2 Pricing of Variance Swap for Two-Factor Stochastic Volatility Model with Delay and with Ornstein-Uhlenbeck Mean-Reversion -- 8.4.3 Pricing of Variance Swap for Two-Factor Stochastic Volatility Model with Delay and with Pilipovic One-Factor Mean-Reversion -- 8.4.4 Variance Swap for Three-Factor Stochastic Volatility Model with Delay and with Pilipovic Mean-Reversion -- 8.5 Numerical Example 1: S&P60 Canada Index -- 8.6 Summary -- Bibliography -- 9. Pricing Variance Swaps for Stochastic Volatilities with Delay and Jumps.

9.1 Introduction -- 9.2 Stochastic Volatility with Delay -- 9.3 Pricing Model of Variance Swaps for Stochastic Volatility with Delay and Jumps -- 9.3.1 Simple Poisson Process Case -- 9.3.2 Compound Poisson Process Case -- 9.3.3 More General Case -- 9.4 Delay as a Measure of Risk -- 9.5 Numerical Example -- 9.6 Summary -- Bibliography -- 10. Variance Swap for Local Levy-Based Stochastic Volatility with Delay -- 10.1 Introduction -- 10.2 Variance Swap for Levy-Based Stochastic Volatility with Delay -- 10.3 Examples -- 10.3.1 Example 1 (Variance Gamma) -- 10.3.2 Example 2 (Tempered Stable) -- 10.3.3 Example 3 (Jump-Diffusion) -- 10.3.4 Example 4 (Kou's Jump-Diffusion) -- 10.4 Parameter Estimation -- 10.5 Numerical Example: S&P500 (2000-01-01{2009-12-31) -- 10.6 Summary -- Bibliography -- 11. Delayed Heston Model: Improvement of the Volatility Surface Fitting -- 11.1 Introduction -- 11.2 Modeling of Delayed Heston Stochastic Volatility -- 11.3 Model Calibration -- 11.4 Numerical Results -- 11.5 Summary -- Bibliography -- 12. Pricing and Hedging of Volatility Swap in the Delayed Heston Model -- 12.1 Introduction -- 12.2 Modeling of Delayed Heston Stochastic Volatility: Recap -- 12.3 Pricing Variance and Volatility Swaps -- 12.4 Volatility Swap Hedging -- 12.5 Numerical Results -- 12.6 Summary -- Bibliography -- 13. Pricing of Variance and Volatility Swaps with Semi-Markov Volatilities -- 13.1 Introduction -- 13.2 Martingale Characterization of Semi-Markov Processes -- 13.2.1 Markov Renewal and Semi-Markov Processes -- 13.2.2 Jump Measure for Semi-Markov Process -- 13.2.3 Martingale Characterization of Semi-Markov Processes -- 13.3 Minimal Risk-Neutral (Martingale) Measure for Stock Price with Semi-Markov Stochastic Volatility -- 13.3.1 Current Life Stochastic Volatility Driven by Semi-Markov Process (Current Life Semi-Markov Volatility).

13.3.2 Minimal Martingale Measure -- 13.4 Pricing of Variance Swaps for Stochastic Volatility Driven by a Semi-Markov Process -- 13.5 Example of Variance Swap for Stochastic Volatility Driven by Two- State Continuous-Time Markov Chain -- 13.6 Pricing of Volatility Swaps for Stochastic Volatility Driven by a Semi-Markov Process -- 13.6.1 Volatility Swap -- 13.6.2 Pricing of Volatility Swap -- 13.7 Discussions of Some Extensions -- 13.7.1 Local Current Stochastic Volatility Driven by a Semi- Markov Process (Local Current Semi-Markov Volatility) -- 13.7.2 Local Stochastic Volatility Driven by a Semi-Markov Process (Local Semi-Markov Volatility) -- 13.7.3 Dupire Formula for Semi-Markov Local Volatility -- 13.7.4 Risk-Minimizing Strategies (or Portfolios) and Residual Risk -- 13.8 Summary -- Bibliography -- 14. Covariance and Correlation Swaps for Markov-Modulated Volatilities -- 14.1 Introduction -- 14.2 Martingale Representation of Markov Processes -- 14.3 Variance and Volatility Swaps for Financial Markets with Markov- Modulated Stochastic Volatilities -- 14.3.1 Pricing Variance Swaps -- 14.3.2 Pricing Volatility Swaps -- 14.4 Covariance and Correlation Swaps for a Two Risky Assets for Financial Markets with Markov-Modulated Stochastic Volatilities -- 14.4.1 Pricing Covariance Swaps -- 14.4.2 Pricing Correlation Swaps -- 14.4.3 Correlation Swap Made Simple -- 14.5 Example: Variance, Volatility, Covariance and Correlation Swaps for Stochastic Volatility Driven by Two-State Continuous Markov Chain -- 14.6 Numerical Example -- 14.6.1 S&P500: Variance and Volatility Swaps -- 14.6.2 S&P500 and NASDAQ-100: Covariance and Correlation Swaps -- 14.7 Correlation Swaps: First Order Correction -- 14.8 Summary -- Bibliography -- 15. Volatility and Variance Swaps for the COGARCH(1,1) Model -- 15.1 Introduction -- 15.2 Levy Processes.

15.3 The COGARCH Process of Kluppelberg et al.
Abstract:
Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities is devoted to the modeling and pricing of various kinds of swaps, such as those for variance, volatility, covariance, correlation, for financial and energy markets with different stochastic volatilities, which include CIR process, regime-switching, delayed, mean-reverting, multi-factor, fractional, Levy-based, semi-Markov and COGARCH(1,1). One of the main methods used in this book is change of time method. The book outlines how the change of time method works for different kinds of models and problems arising in financial and energy markets and the associated problems in modeling and pricing of a variety of swaps. The book also contains a study of a new model, the delayed Heston model, which improves the volatility surface fitting as compared with the classical Heston model. The author calculates variance and volatility swaps for this model and provides hedging techniques. The book considers content on the pricing of variance and volatility swaps and option pricing formula for mean-reverting models in energy markets. Some topics such as forward and futures in energy markets priced by multi-factor Levy models and generalization of Black-76 formula with Markov-modulated volatility are part of the book as well, and it includes many numerical examples such as S&P60 Canada Index, S&P500 Index and AECO Natural Gas Index.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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