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Monte Carlo Methods in Financial Engineering – Paul Glasserman

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Product info: [eBook (PDF)]. Digital download. This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for pr…

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Monte Carlo Methods in Financial Engineering

# Publisher: Springer; 1 edition (August 7, 2003)
# Language: English
# ISBN-10: 0387004513
# ISBN-13: 978-0387004518

Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques.

This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.

The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.

The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.

Table of contents (9 chapters)

  • Foundations

    Pages 1-38

    Glasserman, Paul

  • Generating Random Numbers and Random Variables

    Pages 39-77

    Glasserman, Paul

  • Generating Sample Paths

    Pages 79-184

    Glasserman, Paul

  • Variance Reduction Techniques

    Pages 185-279

    Glasserman, Paul

  • Quasi-Monte Carlo

    Pages 281-337

    Glasserman, Paul

  • Discretization Methods

    Pages 339-376

    Glasserman, Paul

  • Estimating Sensitivities

    Pages 377-420

    Glasserman, Paul

  • Pricing American Options

    Pages 421-479

    Glasserman, Paul

  • Applications in Risk Management

    Pages 481-537

    Glasserman, Paul

Salepage: https://www.springer.com/gp/book/9780387004518
Monte Carlo Methods in Financial Engineering – Paul Glasserman is digital download at Edudigi.net.

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