Testing for no Autocorrelation under Weak Assumptions
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This paper extends the sharp kernel based autocorrelation test suggested in Su (2005) by implementing a data-driven selection for the power parameter in the regarding long-run variance estimation. The test is shown to be robust and powerful by means of simulation. An application of the test on asset returns is provided.
The Empirical Economics Letters
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