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A New Method for Determining the Number of Factors in Factor Models with Large Datasets

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    The paradigm of a factor model is very appealing and has been used extensively in economic analyses. Underlying the factor model is the idea that a large number of economic variables can be adequately modelled by a small number of indicator variables. Throughout this extensive research activity on large dimensional factor models a major preoccupation has been the development of tools for determining the number of factors needed for modelling. This paper provides an alternative method to information criteria as tools for estimating the number of factors in large dimensional factor models. The theoretical properties of the method are explored and an extensive Monte Carlo study is undertaken. Results are favourable for the new method and suggest that it is a reasonable alternative to existing methods.

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    File URL: http://www.econ.qmul.ac.uk/papers/doc/wp525.pdf
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    Paper provided by Queen Mary University of London, School of Economics and Finance in its series Working Papers with number 525.

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    Date of creation: Oct 2004
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    Handle: RePEc:qmw:qmwecw:wp525
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    1. Filippo Altissimo & Valentina Corradi, 2000. "Strong Rules for Detecting the Number of Breaks in a Time Series," Econometric Society World Congress 2000 Contributed Papers 0574, Econometric Society.
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