Backward/Forward Optimal Combination of Performance Measures for Equity Screening

31 Pages Posted: 29 Jul 2012

See all articles by Monica Billio

Monica Billio

University of Venice - Department of Economics; Ca Foscari University of Venice - Dipartimento di Economia

Massimiliano Caporin

University of Padua - Department of Statistical Sciences

Michele Costola

Ca' Foscari University of Venice

Date Written: July 1, 2012

Abstract

We introduce a novel criterion for performance measure combination designed to be used as an equity screening algorithm. The proposed approach follows the general idea of linearly combining existing performance measures with positive weights and the combination weights are determined by means of an optimisation problem. The underlying criterion function takes into account the risk-return trade-off potentially associated with the equity screens, evaluated on a historical and rolling basis. By construction, performance combination weights can vary over time, allowing for changes in preferences across performance measures. An empirical example shows the benefits or our approach compared to naive screening rules based on the Sharpe ratio.

Keywords: performance measures, combining performance measures, portfolio

JEL Classification: C44, C58, C61, G11, G17

Suggested Citation

Billio, Monica and Billio, Monica and Caporin, Massimiliano and Costola, Michele, Backward/Forward Optimal Combination of Performance Measures for Equity Screening (July 1, 2012). University Ca' Foscari of Venice, Dept. of Economics Research Paper Series No. 13, Available at SSRN: https://ssrn.com/abstract=2118576 or http://dx.doi.org/10.2139/ssrn.2118576

Monica Billio (Contact Author)

University of Venice - Department of Economics ( email )

Fondamenta San Giobbe 873
Venezia 30121
Italy
+39 041 234 9170 (Phone)
+39 041 234 9176 (Fax)

Ca Foscari University of Venice - Dipartimento di Economia ( email )

Cannaregio 873
Venice, 30121
Italy

HOME PAGE: http://www.unive.it/persone/billio

Massimiliano Caporin

University of Padua - Department of Statistical Sciences ( email )

Via Battisti, 241
Padova, 35121
Italy

Michele Costola

Ca' Foscari University of Venice ( email )

Cannaregio 873
Venice, 30121
Italy

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