Cross-Sectional Analysis through Rank-based Dynamic
AbstractThe 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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Bibliographic InfoPaper 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.
Length: 28 pages
Date of creation: May 2012
Date of revision:
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Finance; Continuous Time Random Walk; cross-section analysis; rank-based models; momentum.;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-06-25 (All new papers)
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