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Processes of normal inverse Gaussian type

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Author Info
Ole E. Barndorff-Nielsen (Department of Mathematical Sciences, University of Aarhus, Ny Munkegade, DK-8000 Aarhus C, Denmark)

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Abstract

With the aim of modelling key stylized features of observational series from finance and turbulence a number of stochastic processes with normal inverse Gaussian marginals and various types of dependence structures are discussed. Ornstein-Uhlenbeck type processes, superpositions of such processes and stochastic volatility models in one and more dimensions are considered in particular, and some discussion is given of the feasibility of making likelihood inference for these models.

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Publisher Info
Article provided by Springer in its journal Finance and Stochastics.

Volume (Year): 2 (1997)
Issue (Month): 1 ()
Pages: 41-68
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Handle: RePEc:spr:finsto:v:2:y:1997:i:1:p:41-68

Note: received: September 1996; final version received: May 1997
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Web page: http://www.springerlink.com/content/101164/

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Related research
Keywords: Background driving LÊvy processes; long range dependence; Ornstein-Uhlenbeck type; selfdecomposability; stochastic volatility;

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Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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