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Title: Modified Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity
Authors: Sohail Chand, Nuzhat Aftab
Journal: Lahore Journal of Economics
Publisher: Lahore School of Economics, Lahore
Country: Pakistan
Year: 2018
Volume: 23
Issue: 1
Language: English
DOI: 10.35536/lje.2018.v23.i1.a1
Given that autocorrelation tests do not perform well in the presence of heteroskedasticity and in variance-break cases, we present three modified weighted variance ratio tests of autocorrelation. The numerical results show that the proposed tests perform better for small samples. They provide a better approximation of asymptotic distributions and are more powerful when the lag length is mis-specified. The study also applies these tests to data on the daily returns of two companies listed on the Pakistan Stock Exchange.
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