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.
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
11974.
Length: Date of creation: 23 Sep 2004 Date of revision:
23 Dec 2005 Publication status: Published in Journal of Financial Econometrics 1.4(2006): pp. 310-345 Handle: RePEc:pra:mprapa:11974
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
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