Nonparametric estimation for a stochastic volatility model
نویسندگان
چکیده
منابع مشابه
Nonparametric estimation for a stochastic volatility model
In this paper we derive nonparametric stochastic volatility models in discrete time. These models generalize parametric autoregressive random variance models, which have been applied quite successfully to nancial time series. For the proposed models we investigate nonparametric kernel smoothers. It is seen that so-called nonparametric deconvolution estimators could be applied in this situation ...
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B E RT VA N E S , P E T E R S P R E I J 1 and HARRY VAN ZANTEN 2 Korteweg-de Vries Institute for Mathematics, University of Amsterdam, Plantage Muidergracht 24, 1018 TV Amsterdam, The Netherlands. E-mail: [email protected]; [email protected] Division of Mathematics and Computer Science, Faculty of Sciences, Free University Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands...
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ژورنال
عنوان ژورنال: Finance and Stochastics
سال: 2009
ISSN: 0949-2984,1432-1122
DOI: 10.1007/s00780-009-0094-z