Arapis, Manuel and Gao, Jiti (2004): Empirical comparisons in short-term interest rate models using nonparametric methods. Published in: Journal of Financial Econometrics , Vol. 4, No. 1 (1 March 2006): pp. 310-345.
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Abstract
This study applies the nonparametric estimation procedure to the diffusion process modeling the dynamics of short-term interest rates. This approach allows us to operate in continuous time, estimating the continuous-time model, despite the use of discrete data. Three methods are proposed. We apply these methods to two important financial data. After selecting an appropriate bandwidth for each dataset, empirical comparisons indicate that the specification of the drift has a considerable impact on the pricing of derivatives through its effect on the diffusion function. In addition, a novel nonparametric test has been proposed for specification of linearity in the drift. Our simulation directs us to reject the null hypothesis of linearity at the 5% significance level for the two financial datasets.
Item Type: | MPRA Paper |
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Original Title: | Empirical comparisons in short-term interest rate models using nonparametric methods |
Language: | English |
Keywords: | Diffusion process; drift function; kernel density estimation; stochastic volatility |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General |
Item ID: | 11974 |
Depositing User: | jiti Gao |
Date Deposited: | 09 Dec 2008 00:27 |
Last Modified: | 30 Sep 2019 17:09 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/11974 |