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The Influence of Oil Price Shocks on Stock Market Returns: Fresh Evidence from Malaysia

Author

Listed:
  • Ekhlas Al-hajj

    (Faculty of Business, Multimedia University, 75450 Melaka, Malaysia)

  • Usama Al-mulali

    (Faculty of Business, Multimedia University, 75450 Melaka, Malaysia,)

  • Sakiru Adebola Solarin

    (Faculty of Business, Multimedia University, 75450 Melaka, Malaysia)

Abstract

This study investigates the influence of oil price shocks on Malaysia stock market returns by including interest rate, real effective exchange rate, industrial production index and inflation, as important factors of the stock market returns in Malaysia over the period of January, 1991 to December, 2016. Narayan and Popp (2010) test was applied to check the stationary property of the variables. Autoregressive distributed lag (ARDL) bounds test showed the existence of a long run relationship among the variables. ARDL long run analysis results showed that oil price, interest rate, real effective exchange rate have negative impact on the stock market return of Malaysia, whereas industrial production has a positive impact. However, the inflation impact on the stock market return was insignificant. The vector error correction model granger causality results confirmed the existence of the long run causality. However, the short run causality showed that only interest rate and real effective exchange rate granger cause the Malaysian stock market returns.

Suggested Citation

  • Ekhlas Al-hajj & Usama Al-mulali & Sakiru Adebola Solarin, 2017. "The Influence of Oil Price Shocks on Stock Market Returns: Fresh Evidence from Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 235-244.
    • Handle: RePEc:eco:journ2:2017-05-26
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    References listed on IDEAS

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    Cited by:

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    2. Hani El-Chaarani, 2019. "The Impact of Oil Prices on Stocks Markets: New Evidence During and After the Arab Spring in Gulf Cooperation Council Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 214-223.
    3. Mohammad Enamul Hoque & Soo-Wah Low, 2020. "Industry Risk Factors and Stock Returns of Malaysian Oil and Gas Industry: A New Look with Mean Semi-Variance Asset Pricing Framework," Mathematics, MDPI, vol. 8(10), pages 1-28, October.
    4. Alexandra Horobet & Georgiana Vrinceanu & Consuela Popescu & Lucian Belascu, 2019. "Oil Price and Stock Prices of EU Financial Companies: Evidence from Panel Data Modeling," Energies, MDPI, vol. 12(21), pages 1-17, October.
    5. Seyed Alireza Athari & Dervis Kirikkaleli & Tomiwa Sunday Adebayo, 2023. "World pandemic uncertainty and German stock market: evidence from Markov regime-switching and Fourier based approaches," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1923-1936, April.
    6. Warsono Warsono & Edwin Russels & Wamiliana Wamiliana & Widiarti Widiarti & Mustofa Usman, 2019. "Vector Autoregressive with Exogenous Variable Model and its Application in Modeling and Forecasting Energy Data: Case Study of PTBA and HRUM Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 390-398.

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    More about this item

    Keywords

    Oil Price Shocks; Malaysia Stock Market Returns; Autoregressive Distributed Lag;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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