This article examines the long run relationship between economic growth and stock prices for Canada and the United States through cointegration estimation procedure, and it implements the Vector Error Correction Models (VECM) to abstract simultaneously the short- and long-run information in the modelling process. The results from the cointegration tests reveal that economic growth and stock prices share long run equilibrium relationship for both Canada and the U.S. The results from the VECM indicate that for the U.S., causality runs from economic growth to stock prices but not vice versa. However for Canada, the results reveal that there is a bi-directional causality between economic growth and stock prices.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.