A novel multivariate factor GARCH specification is used to obtain conditional covariance matrices of minimum variance portfolios containing a very large number of assets. The approach allows for time varying factor loads, and achieves great flexibility by allowing alternative specifications for the covariance among factors and for the variance of the asset-specific part of return. Minimum variance portfolios based on the proposed conditional covariance matrix specification are shown to deliver less risky portfolios in comparison to benchmark models, including existing factor approaches. (C) 2012 Elsevier B.V. All rights reserved.
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Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, CanadaUniv Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada
Escobar-Anel, Marcos
Rastegari, Javad
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Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, CanadaUniv Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada
Rastegari, Javad
Stentoft, Lars
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Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada
Univ Western Ontario, Social Sci Ctr, Dept Econ, London, ON N6A 5C2, CanadaUniv Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada