Paul Wilmott Introduces Quantitative Finance, Second Edition

  • 9h 21m
  • Paul Wilmott
  • John Wiley & Sons (US)
  • 2007

Paul Wilmott Introduces Quantitative Finance, Second Edition is an accessible introduction to the classical side of quantitative finance specifically for university students. Adapted from the comprehensive, even epic, works Derivatives and Paul Wilmott on Quantitative Finance, Second Edition, it includes carefully selected chapters to give the student a thorough understanding of futures, options and numerical methods. Software is included to help visualize the most important ideas and to show how techniques are implemented in practice. There are comprehensive end-of-chapter exercises to test students on their understanding.

About the Authors

Paul Wilmott, described by the Financial Times as ‘cult derivatives lecturer,’ is one of the world’s leading experts on quantitative finance and derivatives.

He is the proprietor of an innovative magazine on quantitative finance and a highly popular community website (www.wilmott.com). He is the principal of the financial consultancy and training firm, Wilmott Associates, and the Course Director for the Certificate in Quantitative Finance. He has researched and published widely on financial engineering.

In this Book

  • Products and Markets—Equities, Commodities, Exchange Rates, Forwards and Futures
  • Derivatives
  • The Binomial Model
  • The Random Behavior of Assets
  • Elementary Stochastic Calculus
  • The Black–Scholes Model
  • Partial Differential Equations
  • The Black–Scholes Formulae and the ‘Greeks‘
  • Overview of Volatility Modeling
  • How to Delta Hedge
  • An Introduction to Exotic and Path-Dependent Options
  • Multi-Asset Options
  • Barrier Options
  • Fixed-Income Products and Analysis—Yield, Duration and Convexity
  • Swaps
  • One-Factor Interest Rate Modeling
  • Yield Curve Fitting
  • Interest Rate Derivatives
  • The Heath, Jarrow & Morton and Brace, Gatarek & Musiela Models
  • Investment Lessons from Blackjack and Gambling
  • Portfolio Management
  • Value at Risk
  • Credit Risk
  • RiskMetrics and CreditMetrics
  • CrashMetrics
  • Derivatives **** Ups
  • Overview of Numerical Methods
  • Finite-Difference Methods for One-Factor Models
  • Monte Carlo Simulation
  • Numerical Integration
  • Bibliography
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