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Asymmetric COGARCH processes

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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Related contextCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalWAsymmetric COGARCH processespreprint / 2014AAnita BehmeResearcherAClaudia KlüppelbergResearcherAKathrin MayrResearcherTmath.PR7239 worksTmath.ST3384 worksTStatistics Theory3281 works
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Asymmetric COGARCH processes

preprint / 2014

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