Oil price shocks and sectoral stocks in Nigeria: how relevant are asymmetry and structural breaks?

Abstract

Purpose This paper aims to model the relationship between oil price and stock returns for selected sectors in Nigeria using monthly data from January 2007 to December 2016. Design/methodology/approach The authors use both the linear (symmetric) autoregressive distributed lag (ARDL) by Pesaran et al. (2001) and non-linear (asymmetric) ARDL by Shin et al. (2014), and they also account for structural breaks using the Bai and Perron (2003) test that allows for multiple structural changes in regression models. Findings The results indicate that the strength of this relationship varies across sectors, albeit asymmetric and breaks. The authors identify two structural breaks that occur in 2008 and 2010/2011, which coincidentally correspond to the global financial crisis and the Arab spring (Libyan shutdowns), respectively. Moreover, the authors observe strong support for asymmetry and structural breaks for some sectors in the reaction of sector returns to movement in oil prices. These findings are robust and insensitive when considering different oil proxies. While further extensions can be pursued, the consideration of asymmetric effects as well as structural breaks should not be jettisoned when modelling this nexus. Originality/value This study is one of the very few studies that have investigated the sectoral behaviour of stocks to oil price shocks, particularly in Nigeria. This paper contributes to the oil stock literature using the recent technique of asymmetry and also considering the role structural breaks play in the relationship between oil price and stock returns.

Symmetric and Asymmetric Dynamics of Output Gap and Inflation Relation for Turkish Economy

“…In the literature, a few studies, for example, Kisswani (2017), Fasanya et al (2018, Okere et al (2021), andMusa et al (2021) have augmented the model using the break dates obtained in different ways. Following these studies, we augment the NARDL model with structural breaks in regime and trend (C/S/T) using the break dates obtained by Lopcu et al (2013).…”