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Computational intelligence applicati...

Mostafa, Fahed.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence applications to option pricing, volatility forecasting and value at risk/ by Fahed Mostafa, Tharam Dillon, Elizabeth Chang.
作者:	Mostafa, Fahed.
其他作者:	Dillon, Tharam.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	x, 171 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Computational intelligence. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-51668-4
ISBN:	9783319516684

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

Computational intelligence applications to option pricing, volatility forecasting and value at risk[electronic resource] /by Fahed Mostafa, Tharam Dillon, Elizabeth Chang. - Cham :Springer International Publishing :2017. - x, 171 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6971860-949X ;. - Studies in computational intelligence ;v.697..

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.

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 modeling. These features allow them to be applied to market risk problems to overcome classical issues associated with statistical models.

ISBN: 9783319516684

Standard No.: 10.1007/978-3-319-51668-4doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence applications to option pricing, volatility forecasting and value at risk
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520 $a 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 modeling. These features allow them to be applied to market risk problems to overcome classical issues associated with statistical models.
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