Testing for no Autocorrelation under Weak Assumptions

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Author(s)
Su, Jen-Je
Griffith University Author(s)
Year published
2011
Metadata
Show full item recordAbstract
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.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.
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Journal Title
The Empirical Economics Letters
Volume
10
Issue
12
Publisher URI
Copyright Statement
© 2011 Rajshahi University. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Time-Series Analysis
Economic Theory
Applied Economics
Econometrics