Artificial neural network models for forcasting stock price index in Bombay Stock Exchange

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/1917

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DC Field	Value	Language
dc.contributor.author	Jha, Pankaj	-
dc.contributor.author	Mohan, Neeraj	-
dc.contributor.author	Laha, Arnab Kumar	-
dc.contributor.author	Dutta, Goutam	-
dc.date.accessioned	2010-04-03T09:56:56Z	-
dc.date.available	2010-04-03T09:56:56Z	-
dc.date.copyright	2005-10-01	-
dc.date.issued	2010-04-03T09:56:56Z	-
dc.identifier.uri	http://hdl.handle.net/11718/1917	-
dc.description.abstract	In this paper we discuss modeeling of Indian stock market (prce index) data using ANN. we discuss the efficiency of ANN in modeling The Bombay Stock Exchange (BSE) SENSEX weekly closing values we develop two networks with three hiden layers for the purpose of this study which are denoted as ANN1 and ANN2. Both the neural networks are trained using data for 250 week starting january 1997.	en
dc.language.iso	en	en
dc.relation.ispartofseries	WP;2005/1906	-
dc.subject	Artificial neural network models	en
dc.subject	Bombay Stock Exchange	en
dc.subject	stock price index	-
dc.title	Artificial neural network models for forcasting stock price index in Bombay Stock Exchange	en
dc.type	Working Paper	en
Appears in Collections:	Working Papers

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