Portfolio Selection with Irregular Time Grids: an example using an ICA-COGARCH(1, 1) approach
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AbstractIn this paper we consider a portfolio selection problem defined for irregularly spaced observations. We use the Independent Component Analysis for the identification of the dependence structure and continuous-time GARCH models for the marginals. We discuss both estimation and simulation of market prices in a context where the time grid of price quotations differs across assets. We present an empirical analysis of the proposed approach using two high-frequency datasets that provides better out-of-sample results than competing portfolio strategies except for the case of severe market conditions with frequent rebalancements.
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2010 ◽
Vol 13
(3)
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pp. 1-31
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2016 ◽
Vol 6
(3)
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pp. 264-283
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