Financial Derivative and Energy Market Valuation

Financial Derivative and Energy Market Valuation
Author :
Publisher : John Wiley & Sons
Total Pages : 534
Release :
ISBN-10 : 9781118501818
ISBN-13 : 1118501810
Rating : 4/5 (18 Downloads)

Book Synopsis Financial Derivative and Energy Market Valuation by : Michael Mastro, PhD

Download or read book Financial Derivative and Energy Market Valuation written by Michael Mastro, PhD and published by John Wiley & Sons. This book was released on 2013-02-19 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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