
Financial Derivative and Energy Market Valuation
Theory and Implementation in MATLAB
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Financial Derivative and Energy Market Valuation
Theory and Implementation in MATLAB
About this book
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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Information
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- Chapter 1: Financial Models
- Chapter 2: Jump Models
- Chapter 3: Options
- Chapter 4: Binomial Trees
- Chapter 5: Trinomial Trees
- Chapter 6: Finite Difference Methods
- Chapter 7: Kalman Filter
- Chapter 8: Futures and Forwards
- Chapter 9: Nonlinear and Non-Gaussian Kalman Filter
- Chapter 10: Short-Term Deviation/Long-Term Equilibrium Model
- Chapter 11: Futures and Forwards Options
- Chapter 12: Fourier Transform
- Chapter 13: Fundamentals of Characteristic Functions
- Chapter 14: Application of Characteristic Functions
- Chapter 15: Levy Processes
- Chapter 16: Fourier-Based Option Analysis
- Chapter 17: Fundamentals of Stochastic Finance
- Chapter 18: Affine Jump-Diffusion Processes
- Index