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2013-08-24


Financial Derivative and Energy Market Valuation: Theory and Implementation in MATLAB by Michael Mastro PhD
English | 2013 | ISBN: 1118487710 | 664 pages | PDF | 12,1 MB



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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Financial.Derivative.and.Energy.Market.Valuation.Theory.and.Implementation.in.MATLAB.pdf

大小:12.11 MB

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Financial Derivative and Energy Market Valuation

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全部回复
2013-8-24 08:02:36
这是什么东西啊?
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2013-8-26 09:54:04
THANKS
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2013-9-13 03:05:06
kankan
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2014-7-8 07:57:41
Thanks a lot
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2017-4-12 21:20:08
thanks a lot
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