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Activity Number: 657
Type: Invited
Date/Time: Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #307334
Title: Modeling Financial Data with Heavy Tails and Long Memory
Author(s): Rafal Kulik*+
Companies: University of Ottawa
Keywords: long memory ; heavy tails ; stochastic volatility
Abstract:

Abstract: We consider stochastic volatility model with heavy tails and long memory. We discuss basic probabilistic properties as well as statistical inference. In particular, estimation of memory and tail parameter is discussed. We also consider continuous-time stochastic volatility models and discuss practical statistical issues when data are collected in a discrete time.


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