Abstract:
Previous literature indicates that stock returns are predictable by several strongly autocorrelated forecasting variables, especially at longer horizons. It is suggested that this finding is spurious and follows from a neglected near unit root problem. Instead of the commonly used t test we propose a test that can be considered as a general test of whether the return can be predicted by any highly presistent variable. Using this test no predictablility is found for US stock return data from the period 1928-1996. Simulation experiments show that the standard t test clearly overrejects while our proposed test controls size much better.
More papers in University of Helsinki, Department of Economics from Department of Economics Address: University of Helsinki; Department of Economics, P.O.Box 54 (Unioninkatu 37) FIN-00014 Helsingin Yliopisto Contact information at EDIRC. Series data maintained by Thomas Krichel ().
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