Covariance Estimation in Dynamic Portfolio Optimization: A Realized Single Factor Model*

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dc.citation.journalTitleAFA 2010 Atlanta Meetings Paperen_US
dc.contributor.authorKyj, Ladaen_US
dc.contributor.authorOstdiek, Barbaraen_US
dc.contributor.authorEnsor, Katherineen_US
dc.date.accessioned2020-09-11T01:24:29Zen_US
dc.date.available2020-09-11T01:24:29Zen_US
dc.date.issued2009en_US
dc.description.abstractRealized covariance estimation for large dimension problems is little explored and poses challenges in terms of computational burden and estimation error. In a global minimum volatility setting, we investigate the performance of covariance conditioning techniques applied to the realized covariance matrices of the 30 DJIA stocks. We find that not only is matrix conditioning necessary to deliver the benefits of high frequency data, but a single factor model, with a smoothed covariance estimate, outperforms the fully estimated realized covariance in one-step ahead forecasts. Furthermore, a mixed-frequency single-factor model - with factor coefficients estimated using low-frequency data and variances estimated using high-frequency data performs better than the realized single-factor estimator. The mixed-frequency model is not only parsimonious but it also avoids estimation of high-frequency covariances, an attractive feature for less frequently traded assets. Volatility dimension curves reveal that it is difficult to distinguish among estimators at low portfolio dimensions, but for well-conditioned estimators the performance gain relative to the benchmark 1/N portfolio increases with N.en_US
dc.format.extent38 ppen_US
dc.identifier.citationKyj, Lada, Ostdiek, Barbara and Ensor, Katherine. "Covariance Estimation in Dynamic Portfolio Optimization: A Realized Single Factor Model*." <i>AFA 2010 Atlanta Meetings Paper,</i> (2009) SSRN: http://dx.doi.org/10.2139/ssrn.1364642.en_US
dc.identifier.doihttp://dx.doi.org/10.2139/ssrn.1364642en_US
dc.identifier.urihttps://hdl.handle.net/1911/109328en_US
dc.language.isoengen_US
dc.publisherSSRNen_US
dc.titleCovariance Estimation in Dynamic Portfolio Optimization: A Realized Single Factor Model*en_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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