Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/19439
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Basu, Sankarshan | |
dc.contributor.author | Yadav, Abhishek Kumar | |
dc.contributor.author | Kumar, Kunal | |
dc.date.accessioned | 2021-06-09T13:21:37Z | - |
dc.date.available | 2021-06-09T13:21:37Z | - |
dc.date.issued | 2020 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/19439 | - |
dc.description.abstract | In the current world economy, the complexity and global nature of financial markets have brought a lot of uncertainties and with that comes a lot of risk. These risk arises when market is facing a grim year leading to downward movement in the asset price level. Therefore, firms must properly estimate capital at risk to prepare for uncertainties. Value-at-risk (VaR) is one such tool for risk calculation. Putting it simply, VaR calculates percentage that a certain portfolio may lose under a given time period and for a given confidence level. | |
dc.publisher | Indian Institute of Management Bangalore | |
dc.relation.ispartofseries | PGP_CCS_P20_005 | |
dc.subject | Value at Risk | |
dc.subject | VaR | |
dc.subject | Financial market | |
dc.subject | Financial management | |
dc.title | Evaluating GARCH-EVT based value at risk models on major US, Indian and Japanese indices | |
dc.type | CCS Project Report-PGP | |
dc.pages | 22p. | |
Appears in Collections: | 2020 |
Files in This Item:
File | Size | Format | |
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PGP_CCS_P20_005.pdf | 1.44 MB | Adobe PDF | View/Open Request a copy |
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