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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bali, Turan G. |
| Copyright Year | 2006 |
| Abstract | This paper proposes generalized parametric models of the short-term interest rate that nest one-factor CEV and discrete time GARCH models. The paper estimates the generalized and nested models with skewed fat-tailed distributions to determine the correct specification of the conditional distribution of interest rates. The results indicate that the discrete time models that incorporate the level and GARCH effects into the diffusion function and that accommodate the tail-thickness of the interest rate distribution perform much better than the CEV model in forecasting the future volatility of interest rates. The results also show that the significance of nonlinearity in the drift function relies crucially on the specification of the volatility function. |
| Starting Page | 151 |
| Ending Page | 178 |
| Page Count | 28 |
| File Format | |
| ISSN | 02545330 |
| Journal | Annals of Operations Research |
| Volume Number | 151 |
| Issue Number | 1 |
| e-ISSN | 15729338 |
| Language | English |
| Publisher | Kluwer Academic Publishers-Plenum Publishers |
| Publisher Date | 2006-12-07 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Modeling interest rates Stochastic volatility GARCH Diffusions Interest rate options Theory of Computation Combinatorics Operations Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research |
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