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A MAXIMAL PREDICTABILITY PORTFOLIO SUBJECT TO A TURNOVER CONSTRAINT

Yoshihiro Takaya and Hiroshi Konno ()
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Yoshihiro Takaya: Department of Industrial and Systems Engineering, Chuo University, Japan
Hiroshi Konno: Department of Industrial and Systems Engineering, Chuo University, Japan

Asia-Pacific Journal of Operational Research (APJOR), 2010, vol. 27, issue 01, 1-13

Abstract: The authors demonstrated in earlier papers that a maximal predictability portfolio (MPP) using a dynamic strategy leads to a significantly better ex-post performance than the one based on a static strategy and the index. In this paper, we will consider a maximal predictability portfolio subject to transaction cost. To reduce transaction cost, we employ turnover constraint. It will be shown that this approach leads to a significantly better performance than the standard MPP and the index.

Keywords: Maximal predictability portfolio; factor model; nonconvex minimization problem; absolute deviation; 0-1 integer programming; turnover constraint; transaction cost (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595910002521

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