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Non-Gaussian OU based models and some of their uses in financial economics Author info | Abstract | Publisher info | Download info | Related research | Statistics Ole Barndorff-Nielsen
Neil Shephard
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Non-Gaussian processes of Ornstein-Uhlenbeck type, or OU processes for short, offer the possibility of capturing important distributional deviations from Gaussianity and for flexible modelling of dependence structures. This paper develops this potential, drawing on and extending powerful results from probability theory for applications in statistical analysis. Their power is illustrated by a sustained application of OU processes within the context of finance and econometrics. We construct continuous time stochastic volatility models for financial assets where the volatility processes are superpositions of positive OU processes, and we study these models in relation to financial data and theory.
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Date of creation: 2000Date of revision:
Handle: RePEc:sbs:wpsefe:2000mf01Contact details of provider: Email: Web page: http://www.finance.ox.ac.uk More information through EDIRC
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