Canonical Correlation-based Model Selection for the Multilevel Factors
In Choi (),
Rui Lin () and
Yongcheol Shin ()
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Rui Lin: Department of Economics, University of York.
No 2008, Working Papers from Research Institute for Market Economy, Sogang University
A great deal of research e ort has been devoted to the analysis of the multilevel factor model. To date, however, limited progress has been made on the development of coherent inference for identifying the number of the global factors. We propose a novel approach based on the canonical correlation analysis to identify the number of the global factors. We develop the canonical correlations di erence (CCD), which is constructed by the di erence between the cross group-averages of the adjacent canonical correlations between factors. We prove that CCD is a consistent selection criterion. Via Monte Carlo simulations, we show that CCD always selects the number of global factors correctly even in small samples. Further, CCD outperforms the existing approaches in the presence of serially correlated and weakly cross-sectionally correlated idiosyncratic errors as well as the correlated local factors. Finally, we demonstrate the utility of our framework with an application to the multilevel asset pricing model for the stock return data of 12 industries in the U.S.
Keywords: Multilevel Factor Models; Principal Components; Canonical Correlation Difference; Multilevel Asset Pricing Models (search for similar items in EconPapers)
JEL-codes: C52 G12 (search for similar items in EconPapers)
Pages: 39 pages
New Economics Papers: this item is included in nep-ecm and nep-ore
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