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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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File URL: ftp://mse.univ-paris1.fr/pub/mse/CES2012/12036.pdf
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Paper provided by Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne in its series Documents de travail du Centre d'Economie de la Sorbonne with number 12036.

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Length: 28 pages
Date of creation: May 2012
Date of revision:
Handle: RePEc:mse:cesdoc:12036
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  1. Shiling Ruan & Steven MacEachern & Thomas Otter & Angela Dean, 2008. "The Dependent Poisson Race Model and Modeling Dependence in Conjoint Choice Experiments," Psychometrika, Springer, vol. 73(2), pages 261-288, June.
  2. Monica Billio & Ludovic Calès & Dominique Guegan, 2011. "Portfolio Symmetry and Momentum," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00645814, HAL.
  3. 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.
  4. Billio, Monica & Calès, Ludovic & Guégan, Dominique, 2011. "Portfolio symmetry and momentum," European Journal of Operational Research, Elsevier, vol. 214(3), pages 759-767, November.
  5. K. Geert Rouwenhorst, 1998. "International Momentum Strategies," Journal of Finance, American Finance Association, vol. 53(1), pages 267-284, 02.
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