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Liner and nonliner sectoral response of stock markets to oil price movements: The case of Saudi Arabia
Author(s) -
Hamdan Reem Khamis,
Hamdan Allam Mohammed
Publication year - 2020
Publication title -
international journal of finance and economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.505
H-Index - 39
eISSN - 1099-1158
pISSN - 1076-9307
DOI - 10.1002/ijfe.1755
Subject(s) - economics , stock (firearms) , stock market , markov chain , oil price , monetary economics , econometrics , financial economics , mechanical engineering , paleontology , horse , machine learning , computer science , engineering , biology
With respect to Saudi Arabia for the period 2007–2016, this study employs linear (ordinary least square and causality tests) and nonlinear (Markov switching technique) to determine the long‐run relationship between stock market returns, in aggregate, and oil prices, as independent variable on the one hand, with sectoral returns in stock markets, and as dependent variable on the other. Results suggest that sectors in the Saudi market generally respond asymmetrically to oil prices. Overall, in the long run, the Saudi market, in aggregate, was found to be cointegrated with sectoral returns being affected more by overall stock market returns than by oil returns. When nonlinear Markov switching technique was employed, results were only significant in certain sectors namely cement, petrochemical industries, building and construction, and energy and utilities where regime switching between high and low volatilities was detected around the global financial crisis in 2008. Based on these findings, the study recommends investors to consider investing in sectors that balance between those with returns that vary directly and inversely with oil prices in an effort to create “oil‐neutral” portfolios rather than uniformly investing across all sectors in the Saudi market or consider investing in Saudi market sectors in the case of high oil prices.