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Mathematics - Quantitative Finance | Topics in Numerical Methods for Finance

Topics in Numerical Methods for Finance

Cummins, Mark, Murphy, Finbarr, Miller, John J.H. (Eds.)

2012, XII, 204 p.

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  • Provides valuable, practical and cutting-edge developments in a variety of quantitative finance areas, including option pricing, arbitrage-free surface construction, moving boundary problems, arbitrage-free parity theory and fear measurement
  • Presents a variety of novel mathematical methods involving weak discrete time approximations, moving least squares construction, simulation-regression methods, Fourier transform techniques, Wiener-Hopf factorisation, multinomial lattices and cross recurrence
  • Offers topics of appeal to both academics and practitioners working in the field of quantitative finance

Presenting state-of-the-art methods in the area, the book begins with a presentation of weak discrete time approximations of jump-diffusion stochastic differential equations for derivatives pricing and risk measurement. Using a moving least squares reconstruction, a numerical approach is then developed that allows for the construction of arbitrage-free surfaces. Free boundary problems are considered next, with particular focus on stochastic impulse control problems that arise when the cost of control includes a fixed cost, common in financial applications. The text proceeds with the development of a fear index based on equity option surfaces, allowing for the measurement of overall fear levels in the market. The problem of American option pricing is considered next, applying simulation methods combined with regression techniques and discussing convergence properties. Changing focus to integral transform methods, a variety of option pricing problems are considered. The COS method is practically applied for the pricing of options under uncertain volatility, a method developed by the authors that relies on the dynamic programming principle and Fourier cosine series expansions. Efficient approximation methods are next developed for the application of the fast Fourier transform for option pricing under multifactor affine models with stochastic volatility and jumps. Following this, fast and accurate pricing techniques are showcased for the pricing of credit derivative contracts with discrete monitoring based on the Wiener-Hopf factorisation. With an energy theme, a recombining pentanomial lattice is developed for the pricing of gas swing contracts under regime switching dynamics. The book concludes with a linear and nonlinear review of the arbitrage-free parity theory for the CDS and bond markets.

Content Level » Research

Keywords » Credit Derivatives - Liquidity Modelling - Numerical Analysis - integral transform methods - inverse problems

Related subjects » Computational Science & Engineering - Finance & Banking - Quantitative Finance

Table of contents 

On Weak Predictor-Corrector Schemes for Jump-Diffusion Processes in Finance.- Moving Least Squares for Arbitrage-Free Price and Volatility Surfaces.- Solving Impulse Control Problems with Control Delays.- FIX: The Fear Index ? Measuring Market Fear.- American Option Pricing using Simulation and Regression: Numerical Convergence Results.- The COS Method for Pricing Options under Uncertain Volatility.- Fast Fourier Transform Option Pricing: Efficient Approximation Methods under Multi-Factor Stochastic Volatility and Jumps.- Pricing Credit Derivatives in a Wiener-Hopf Framework.- The Evaluation of Gas Swing Contracts with Regime Switching.- A Linear and Nonlinear Review of the Arbitrage-Free Parity Theory for the CDS and Bond Markets.

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