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arxiv: 1403.7068 · v1 · pith:OP6LPAIWnew · submitted 2014-03-27 · 🧮 math.ST · math.PR· stat.TH

Asymmetric COGARCH processes

classification 🧮 math.ST math.PRstat.TH
keywords asymmetriccontinuous-timedataestimationgjr-cogarchmodelsalthoughapplies
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Financial data are as a rule asymmetric, although most econometric models are symmetric. This applies also to continuous-time models for high-frequency and irregularly spaced data. We discuss some asymmetric versions of the continuous-time GARCH model, concentrating then on the GJR-COGARCH. We calculate higher order moments and extend the first jump approximation. These results are prerequisites for moment estimation and pseudo maximum likelihood estimation of the GJR-COGARCH parameters, respectively, which we derive in detail.

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