Computational intelligence applications to option pricing, volatility forecasting and value at risk

The results in this book demonstrate the power of neural networks in learning complex behavior from the underlying financial time series data . The results in this book also demonstrate how neural networks can successfully be applied to volatility modeling, option pricings, and value at risk modelin...

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Bibliographic Details
Main Authors Mostafa, Fahed (Author), Dillon, Tharam S., 1943- (Author), Chang, Elizabeth (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesStudies in computational intelligence ; v. 697.
Subjects
Online AccessFull text
ISBN9783319516684
9783319516660
ISSN1860-949X ;
Physical Description1 online resource (x, 171 pages) : illustrations

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Table of Contents:
  • CHAPTER 1 Introduction
  • CHAPTER 2 Time Series Modelling
  • CHAPTER 3 Options and Options Pricing Models
  • CHAPTER 4 Neural Networks and Financial Forecasting
  • CHAPTER 5 Important Problems in Financial Forecasting
  • CHAPTER 6 Volatility Forecasting
  • CHAPTER 7 Option Pricing
  • CHAPTER 8 Value-at-Risk
  • CHAPTER 9 Conclusion and Discussion.