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

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