Stock market dynamics: a study using graph theory
dc.contributor.advisor | Chakrabarti, Anindya | |
dc.contributor.author | Mehra, Shubham | |
dc.date.accessioned | 2019-04-26T21:16:23Z | |
dc.date.available | 2019-04-26T21:16:23Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/11718/21761 | |
dc.description.abstract | Financial time series data has been a focal point of interest for the academicians for the scope of analysis that it provides. Numerous approaches ranging from the traditional risk-return framework to Big Data have been taken to understand the underlying dynamics of financial market. One of the recent approaches that has been followed is the one with graph theory at its core. When represented in the form of graph (termed as Asset graph), interesting observations can be made regarding the relations that exists between different stocks. | en_US |
dc.publisher | Indian Institute of Management Ahmedabad | en_US |
dc.relation.ispartofseries | SP_2422 | en_US |
dc.subject | Stock market | en_US |
dc.subject | Financial time series | en_US |
dc.subject | Big Data | en_US |
dc.title | Stock market dynamics: a study using graph theory | en_US |
dc.type | Student Project | en_US |
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