Description
Book SynopsisA 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 semina
Trade Review
“The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.” (Zentralblatt MATH, 1 August 2013)
Table of ContentsPreface vii
1 Financial Models 1
2 Jump Models 35
3 Options 65
4 Binomial Trees 105
5 Trinomial Trees 131
6 Finite Difference Methods 167
7 Kalman Filter 231
8 Futures and Forwards 245
9 Nonlinear and Non-Gaussian Kalman Filter 295
10 Short-Term Deviation/Long-Term Equilibrium Model 349
11 Futures and Forwards Options 359
12 Fourier Transform 397
13 Fundamentals of Characteristic Functions 459
14 Application of Characteristic Functions 467
15 Levy Processes 505
16 Fourier-Based Option Analysis 547
17 Fundamentals of Stochastic Finance 585
18 Affine Jump-Diffusion Processes 605
Index 645
