Gaussian Estimation of Long-Range Dependent Volatility in Asset Prices

Paolo Zaffaroni

STICERD - Econometrics Paper Series from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

Abstract: Asset returns have a very complicated dynamic pattern. Yet they display regularity across different assets and periods. We consider a new family of volatility models which account for such patterns, focussing in particular on the long memory nature of asset returns volatility. We propose an estimation procedure for such models based on a Gaussian pseudo maximum likelihood estimator, for which we establish the relevant asymptotic theory. An empirical application based on forex and stock return indexes suggests the potential of these models to capture the dynamic features of the data.

Keywords: stochastic volatility; long memory; asymptotics. (search for similar items in EconPapers)
Date: 1997-05
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Persistent link: https://EconPapers.repec.org/RePEc:cep:stiecm:329

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