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Unit root modeling for trending stock market series

Afees Salisu (), Umar Ndako, Tirimisiyu Oloko and Lateef Akanni ()

Borsa Istanbul Review, 2016, vol. 16, issue 2, 82-91

Abstract: In this paper, we examine how the unit root for stock market series should be modeled. We employ the Narayan and Liu (2015) trend GARCH-based unit root and its variants in order to more carefully capture the inherent statistical behavior of the series. We utilize daily, weekly and monthly data covering nineteen countries across the regions of America, Asia and Europe. We find that the nature of data frequency matters for unit root testing when dealing with stock market data. Our evidence also suggests that stock market data is better modeled in the presence of structural breaks, conditional heteroscedasticity and time trend.

Keywords: Trend; Structural break; Conditional heteroscedasticity; Unit root; Stock market (search for similar items in EconPapers)
JEL-codes: C12 C58 F30 G15 (search for similar items in EconPapers)
Date: 2016
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Handle: RePEc:bor:bistre:v:16:y:2016:i:2:p:82-91