This article presents a technique for nonparametrically estimating continuous-time diffusion processes that are observed at discrete intervals. The authors illustrate the methodology by using daily three and six month Treasury bill data, from January 1965 to July 1995, to estimate the drift and diffusion of the short rate, and the market price of interest rate risk. While the estimated diffusion is similar to that estimated by K. C. Chan, et al.(1992), there is evidence of substantial nonlinearity in the drift. This is close to zero for low and medium interest rates but mean reversion increases sharply at higher interest rates. Copyright 1997 by American Finance Association.
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Article provided by American Finance Association in its journal Journal of Finance.
Volume (Year): 52 (1997) Issue (Month): 5 (December) Pages: 1973-2002 Download reference. The following formats are available: HTML
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