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A Multifactor, Nonlinear, Continuous-Time Model of Interest Rate VolatilityJacob BoudoukhInterdisciplinary Center (IDC) - Rothschild Center Matthew P. RichardsonNew York University (NYU) - Department of Finance; National Bureau of Economic Research (NBER) Richard StantonUniversity of California, Berkeley - Finance Group Robert WhitelawNew York University; National Bureau of Economic Research (NBER) June 1999 NYU Working Paper No. FIN-99-042 Abstract: This paper presents a general, nonlinear version of existing multifactor models, such as Longstaff and Schwartz (1992). The novel aspect of our approach is that rather than choosing the model parameterization out of "thin air", our processes are generated from the data using approximation methods for multifactor continuous-time Markov processes. In applying this technique to the short- and long-end of the term structure for a general two-factor diffusion process for interest rates, a major finding is that the volatility of interest rates is increasing in the level of interest rates only for sharply upward sloping term structures. In fact, the slope of the term structure plays a larger role in determining the magnitude of the diffusion coefficient. As an application, we analyze the model's implications for the term structure of term premiums.
Number of Pages in PDF File: 43 working papers seriesDate posted: November 11, 2008Suggested CitationContact Information
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