Semiparametric Diffusion Estimation and Application to a Stock Market Index
Wolfgang Härdle,
Torsten Kleinow,
Alexander Korostelev,
Camille Logeay and
Eckhard Platen ()
No 51, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney
Abstract:
The analysis of diffusion process 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.
Keywords: diffusion; identification; continuous-time financial models; semi-parametric methods; kernel smoothing; bootstrap (search for similar items in EconPapers)
JEL-codes: C51 C52 G22 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2001-03-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Published as: Hardle, W., Kleinow, A., Logeay, C. and Platen, E., 2008, "Semiparametric Diffusion Estimation and Application to a Stock Market Index", Qantitative Finance, 8(1), 81-92.
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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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