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Regime switching in the reactions of stock markets in Saudi Arabia to oil price variations

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  • Jamel Jouini
  • Wajih Khallouli

Abstract

The study revisits the stock–oil nexus by examining the reactions of equity markets to oil price shocks at national and sectoral levels for Saudi Arabia in a time‐varying framework by employing the Markov switching EGARCH model developed by Henry (2009, Journal of Banking and Finance, 33, 405). Based on weekly data, the findings reveal that the behaviour of all stock markets switches between an expansion regime and a recession regime, with more persistence for the expansion state. Additionally, influential international events associated with stock market drops are clearly identified in the recession regime. Furthermore, there is evidence of asymmetric reactions of the equity index returns and the probabilities of transition from one state to another to oil price variations, with heterogeneous impacts across sectors and regimes. The stock markets are more sensitive to oil price decreases than to oil price increases. Although the evidence of relatively slight differences in some findings across weekdays, the study allows investors and policymakers to understand well the interactions of stock sector markets vis‐à‐vis the world oil market in a regime‐switching framework, in order to make the right decision as regards portfolio diversification and regulation of the stock markets.

Suggested Citation

  • Jamel Jouini & Wajih Khallouli, 2019. "Regime switching in the reactions of stock markets in Saudi Arabia to oil price variations," The World Economy, Wiley Blackwell, vol. 42(8), pages 2467-2506, August.
  • Handle: RePEc:bla:worlde:v:42:y:2019:i:8:p:2467-2506
    DOI: 10.1111/twec.12785
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    Cited by:

    1. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    2. Abdou, Hussein A. & Elamer, Ahmed A. & Abedin, Mohammad Zoynul & Ibrahim, Bassam A., 2024. "The impact of oil and global markets on Saudi stock market predictability: A machine learning approach," Energy Economics, Elsevier, vol. 132(C).
    3. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    4. Wang, Lu & Ma, Feng & Hao, Jianyang & Gao, Xinxin, 2021. "Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?," International Review of Financial Analysis, Elsevier, vol. 76(C).

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