 Modelling structural changes in the volatility processThorsten Lehnert, Bart Frijns and Remco Zwinkels (r.zwinkels@vu.nl) LSF Research Working Paper Series from Luxembourg School of Finance, University of Luxembourg Abstract: GARCH-type models have been very successful in describing the volatility dynamics of financial return series for short periods of time. However, for example macroeconomic events may cause the structure of volatility to change and the assumption of stationarity is no longer plausible. In order to deal with this issue, the current paper proposes a conditional volatility model with time varying coefficients based on a multinomial switching mechanism. By giving more weight to either the persistence or shock term in a GARCH model, conditional on their relative ability to forecast a benchmark volatility measure, the switching reinforces the persistent nature of the GARCH model. Estimation of this benchmark volatility targeting or BVTGARCH model for Dow 30 stocks indicates that the switching model is able to outperform a number of relevant GARCH setups, both in- and out-of-sample, also without any informational advantages. Keywords: GARCH; time varying coefficients; multinomial logit (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:crf:wpaper:10-05 Access Statistics for this paper More papers in LSF Research Working Paper Series from Luxembourg School of Finance, University of Luxembourg Contact information at EDIRC. |
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