Cross-Sectional Analysis through Rank-based Dynamic
The aim of this paper is to study the cross-sectional effects present in the market using a new framework based on graph theory. Within this framework, we represent the evolution of a dynamic portfolio, i.e. a portfolio whose weights vary over time, as a rank-based factorial model where the predictive ability of each cross-sectional factor is described by a variable. Practically, this modeling permits us to measure the marginal and joint effects of different cross-section factors on a given dynamic portfolio. Associated to a regime switching model, we are able to identify phases during which the cross-sectional effects are present in the market.
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- Monica Billio & Ludovic Calès & Dominique Guegan, 2009.
"Portfolio Symmetry and Momentum,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
- Monica Billio & Ludovic Calès & Dominique Guégan, 2009. "Portfolio Symmetry and Momentum," Working Papers 2009_05, Department of Economics, University of Venice "Ca' Foscari".
- Monica Billio & Ludovic Calès & Dominique Guegan, 2009. "Portfolio Symmetry and Momentum," Documents de travail du Centre d'Economie de la Sorbonne 09003, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2009.
- Monica Billio & Ludovic Calès & Dominique Guegan, 2011. "Portfolio Symmetry and Momentum," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00645814, HAL.
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- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
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