The difficulty of predicting stock returns has recently motivated researchers to start looking for more powerful tests, and the current study takes a step in this direction. Unlike existing tests, the test proposed here exploits the information contained in the heteroskedasticity of findings, which is expected to lead to higher power, a result that is confirmed by our results. In order to also maintain good size accuracy, subsample critical values are used.
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