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Modified Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity


Article Information

Title: Modified Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity

Authors: Sohail Chand, Nuzhat Aftab

Journal: Lahore Journal of Economics

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Publisher: Lahore School of Economics, Lahore

Country: Pakistan

Year: 2018

Volume: 23

Issue: 1

Language: English

DOI: 10.35536/lje.2018.v23.i1.a1

Categories

Abstract

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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