Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/20235
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Anshuman, V Ravi | |
dc.contributor.author | Dnyandev, Phegade Mayuresh | |
dc.contributor.author | Srihari, K S | |
dc.date.accessioned | 2021-07-16T12:19:16Z | - |
dc.date.available | 2021-07-16T12:19:16Z | - |
dc.date.issued | 2015 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/20235 | - |
dc.description.abstract | In finance, interest rate has a place in most of the important calculations. Its implications are felt widely in pricing of credit, derivatives & in calculation of economic capital for financial institutions. It is therefore highly desirable to have a model that can model & predict interest rates. One-factor models are those used to predict short-term interest rates. All such models are stochastic problems, dealing with uncertainty. The first such model was introduced by Merton in 1973, followed by Vasicek in 1977. | |
dc.publisher | Indian Institute of Management Bangalore | |
dc.relation.ispartofseries | PGP_CCS_P15_156 | |
dc.subject | Financial institutions | |
dc.subject | Derivatives | |
dc.title | Study and implementation of Vasicek model | |
dc.type | CCS Project Report-PGP | |
dc.pages | 6p. | |
Appears in Collections: | 2015 |
Files in This Item:
File | Size | Format | |
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PGP_CCS_P15_156.pdf | 618.86 kB | Adobe PDF | View/Open Request a copy |
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