Please use this identifier to cite or link to this item:
http://hdl.handle.net/11718/20613
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Laha, Arnab Kumar | |
dc.contributor.author | Balaji, Hari | |
dc.date.accessioned | 2018-04-11T08:43:47Z | |
dc.date.available | 2018-04-11T08:43:47Z | |
dc.date.copyright | 2005 | |
dc.date.issued | 2005 | |
dc.identifier.uri | http://hdl.handle.net/11718/20613 | |
dc.language.iso | en | en_US |
dc.publisher | Indian Institute of Management Ahmedabad | en_US |
dc.relation.ispartofseries | SP;001180 | |
dc.subject | Artificial neural network | en_US |
dc.subject | Regime switching behaviour | en_US |
dc.subject | Indian Stock Market | en_US |
dc.subject | SIC | en_US |
dc.title | Application of artificial neural network techniques to understanding regime switching behaviour in Indian Stock Markets | en_US |
dc.type | Student Project | en_US |
Appears in Collections: | Student Projects |
Files in This Item:
File | Description | Size | Format | |
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SP_2006_1180.pdf Restricted Access | 481.97 kB | Adobe PDF | View/Open Request a copy |
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