Financial Derivative and Energy Market Valuation: Theory and Implementation in MATLAB

A road map for implementing quantitative financial models

Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab®.

Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also:

• Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic
• Extends seminal works developed over the last four decades to derive and utilize present-day financial models
• Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing
• Includes all Matlab® code for readers wishing to replicate the figures found throughout the book

Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.

MICHAEL MASTRO, PhD, is a civilian Staff Scientist at the U.S. Naval Research Lab. Dr. Mastro has authored more than 150 papers and patents and has organized several conference symposia.