Predicting stock returns using crude oil prices: A firm level analysis of Nigeria's oil and gas sector

Wasiu Adekunle (), Abubakar M. Bagudo, Monsuru Odumosu and Suraj B. Inuolaji

Resources Policy, 2020, vol. 68, issue C

Abstract: The decision over asset holding is traditionally premised on the double-edge objective of returns maximization and risk minimization. While the class of assets held by a typical investor depends on his attitude towards risks, an optimal investment portfolio requires a strategic combination of alternative assets (commodities, T-bills, stocks etc). To this end, our paper analyzes the role of crude oil prices in predicting stock returns, in addition to the traditional factors, particularly the returns on risk-free assets (such as, T-bills) as enunciated by the Capital Asset Pricing Model (CAPM). We also consider the possibility of nonlinearities in the nexus between crude oil prices and stock returns of nine major oil and gas companies that are currently listed on the Nigerian Stock Exchange over the period of January 2014 to November 2019. Our results show significant in-sample predictability of stock returns using crude oil prices, thereby affirming our argument that oil price matters in the predictability of stock returns for some listed oil and gas firms in Nigeria. We also offer evidence for the role of asymmetries in the predictability of stock returns for the majority of the listed oil and gas companies in Nigeria. By implication, the increasing exposure of the earnings, vis-à-vis, the share prices of some major oil and gas companies to negative changes in global oil prices suggests the need for diversification of their scope of operations.

Keywords: Stock returns; Crude oil prices; Oil and gas sector (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420720301057

DOI: 10.1016/j.resourpol.2020.101708

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