The Volatility Smile

Höfundur Emanuel Derman

Útgefandi Wiley Professional Development (P&T)

Snið ePub

Print ISBN 9781118959169

Útgáfa 1

Útgáfuár 2016

6.390 kr.

Description

Efnisyfirlit

  • Preface
  • Acknowledgments
  • About the Authors
  • Chapter 1: Overview
  • Introduction
  • The Black-Scholes-Merton Model and Its Discontents
  • A Quick Look at the Implied Volatility Smile
  • No-Nonsense Financial Modeling
  • The Purpose of Models
  • Note
  • Chapter 2: The Principle of Replication
  • Replication
  • Modeling the Risk of Underliers
  • The Key Question of Investing
  • Derivatives Are Not Independent Securities
  • End-of-Chapter Problems
  • Notes
  • Chapter 3: Static and Dynamic Replication
  • Exact Static Replication
  • A Simplified Explanation of Dynamic Replication
  • End-of-Chapter Problems
  • Note
  • Chapter 4: Variance Swaps: A Lesson in Replication
  • The Volatility Sensitivity of an Option
  • Volatility and Variance Swaps
  • Replicating Volatility Swaps
  • Replicating Variance Swaps out of Options in a Black-Scholes-Merton World
  • A Portfolio of Vanilla Options with 1/K2 Weights Produces a Log Payoff
  • Proof That the Fair Value of a Log Contract with S* = S0 Is the Realized Future Variance
  • The VIX Volatility Index
  • End-of-Chapter Problems
  • Notes
  • Chapter 5: The P&L of Hedged Option Strategies in a Black-Scholes-Merton World
  • The Black-Scholes-Merton Equation
  • The P&L of Hedged Trading Strategies
  • The Effect of Different Hedging Strategies in the BSM World
  • End-of-Chapter Problems
  • Notes
  • Chapter 6: The Effect of Discrete Hedging on P&L
  • Replication Errors from Discrete Rebalancing
  • An Example
  • Conclusion: Accurate Replication and Hedging Are Very Difficult
  • End-of-Chapter Problems
  • Note
  • Chapter 7: The Effect of Transaction Costs on P&L
  • The Effect of Transaction Costs
  • Analytical Approximation of the Effect of Transaction Costs
  • End-of-Chapter Problems
  • Note
  • Chapter 8: The Smile: Stylized Facts and Their Interpretation
  • Smile, Term Structure, Surface, and Skew
  • How to Graph the Smile
  • Delta and the Smile
  • Consequences of the Smile for Trading
  • End-of-Chapter Problems
  • Notes
  • Chapter 9: No-Arbitrage Bounds on the Smile
  • No-Arbitrage Bounds on the Smile
  • End-of-Chapter Problems
  • Notes
  • Chapter 10: A Survey of Smile Models
  • An Overview of Smile-Consistent Models
  • Problems Caused by the Smile
  • End-of-Chapter Problem
  • Chapter 11: Implied Distributions and Static Replication
  • Implied Distributions
  • The Breeden-Litzenberger Formula
  • Static Replication: Valuing Arbitrary Payoffs at a Fixed Expiration Using Implied Distributions
  • The Black-Scholes-Merton Risk-Neutral Probability Density
  • End-of-Chapter Problems
  • Note
  • Chapter 12: Weak Static Replication
  • Summary of the Book So Far
  • Introducing Weak Static Replication
  • Some Insights into the Static Replication of Barrier Options
  • Another Approach: Static Replication of an Up-and-Out Call
  • End-of-Chapter Problems
  • Notes
  • Chapter 13: The Binomial Model and Its Extensions
  • The Binomial Model for Stock Evolution
  • The Binomial Model for Options Valuation
  • Extending the Black-Scholes-Merton Model
  • End-of-Chapter Problems
  • Chapter 14: Local Volatility Models
  • Modeling a Stock with Variable Volatility
  • Binomial Local Volatility Modeling
  • The Relationship between Local Volatility and Implied Volatility
  • Difficulties with Binomial Trees
  • Further Reading
  • End-of-Chapter Problems
  • Notes
  • Chapter 15: Consequences of Local Volatility Models
  • Dupire’s Equation for Local Volatility
  • Understanding the Equation
  • A Binomial Derivation of the Dupire Equation
  • A More Formal Proof of the Dupire Equation
  • An Exact Relationship between Local and Implied Volatilities and Its Consequences
  • End-of-Chapter Problems
  • Chapter 16: Local Volatility Models: Hedge Ratios and Exotic Option Values
  • Hedge Ratios in Local Volatility Models
  • The Theoretical Value of Exotic Options in Local Volatility Models
  • End-of-Chapter Problems
  • Notes
  • Chapter 17: Some Final Remarks on Local Volatility Models
  • The Pros and Cons of Local Volatility Models
  • Testing the Local Volatility Model for Index Options
  • Note
  • Chapter 18: Patterns of Volatility Change
  • Heuristic Relationships between the Slope of the Skew and Its Dynamics
  • Toward Stochastic Volatility Models
  • End-of-Chapter Problems
  • Chapter 19: Introducing Stochastic Volatility Models
  • Introduction to Stochastic Volatility
  • A Heuristic Approach for Introducing Stochastic Volatility into the Black-Scholes-Merton Model
  • End-of-Chapter Problems
  • Notes
  • Chapter 20: Approximate Solutions to Some Stochastic Volatility Models
  • Extending the Local Volatility Model
  • Extending the BSM Model: Valuing Options with Stochastic Volatility via the Replication Principle
  • The Characteristic Solution to the Stochastic Volatility Model
  • End-of-Chapter Problem
  • Chapter 21: Stochastic Volatility Models: The Smile for Zero Correlation
  • The Zero-Correlation Smile Depends on Moneyness
  • The Zero Correlation Smile Is Symmetric
  • Two-State Stochastic Path Volatility: An Example
  • The Smile for GBM Stochastic Volatility with Zero Correlation
  • End-of-Chapter Problem
  • Note
  • Chapter 22: Stochastic Volatility Models: The Smile with Mean Reversion and Correlation
  • Mean-Reverting Volatility with Zero Correlation
  • Nonzero Correlation in Stochastic Volatility Models
  • Comparison of Hedge Ratios under Black-Scholes-Merton, Local Volatility, and Stochastic Volatility
  • Best Stock-Only Hedge in a Stochastic Volatility Model
  • Concluding Remarks
  • Further Reading
  • End-of-Chapter Problems
  • Notes
  • Chapter 23: Jump-Diffusion Models of the Smile: Introduction
  • Jumps
  • Modeling Pure Jumps
  • End-of-Chapter Problems
  • Note
  • Chapter 24: The Full Jump-Diffusion Model
  • Jumps Plus Diffusion
  • Trinomial Jump-Diffusion and Calibration
  • Valuing a Call in the Jump-Diffusion Model
  • A Mixing Formula
  • A Qualitative Description of the Jump-Diffusion Smile
  • A Simplified Treatment of Jump-Diffusion with a Small Probability of a Large Single Jump
  • Further Thoughts and Reading
  • End-of-Chapter Problems
  • Epilogue
  • Appendix A: Some Useful Derivatives of the Black-Scholes-Merton Model
  • Appendix B: Backward Itô Integrals
  • Standard Integration
  • Stochastic Integration
  • Note
  • Appendix C: Variance Swap Piecewise-Linear Replication
  • Answers to End-of-Chapter Problems
  • References
  • Index
  • EULA

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