Semiparametric diffusion estimation and application to a stock market index

Wolfgang Härdle, Torsten Kleinow, Alexander P. Korostelev, Camille Logeay and Eckhard Platen ()

No 2001,24, SFB 373 Discussion Papers from Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes

Abstract: The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on semiparametric and nonparametric estimates. The testing is performed via the wild bootstrap resampling technique. The method is illustrated on S&P 500 index data.

Keywords: Identification; Bootstrap; Diffusion; Continuous-time financial models; Semiparametric methods; Kernel smoothing (search for similar items in EconPapers)
JEL-codes: C51 C52 G22 (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Semiparametric diffusion estimation and application to a stock market index (2008)
Working Paper: Semiparametric Diffusion Estimation and Application to a Stock Market Index (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:sfb373:200124

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