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Ryan Compton and Syeed Khan
 
''An examination of the stability of short-run Canadian stock predictability ''
( 2010, Vol. 30 No.2 )
 
 
Using monthly data from 1975-2001, we consider the stability of bivariate and multivariate models for short run in-sample predictability of Canadian stock returns. We test for model stability using a range of tests including the Andrews SupF statistic, Bai subsample procedure, and Bai and Perron sequential SupF procedure. We find evidence of instability in two of our nine bivariate cases considered as well as our preferred multivariate model. When estimated to account for these breaks, we find the degree and direction of predictability can change markedly.
 
 
Keywords: predictive regression models, structural breaks, real stock returns
JEL: G1 - General Financial Markets: General (includes Measurement and Data)
C2 - Single Equation Models; Single Variables: General
 
Manuscript Received : Jan 12 2010 Manuscript Accepted : May 11 2010

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