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Asymmetric impact of oil price on Islamic sectoral stocks

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  • Badeeb, Ramez Abubakr
  • Lean, Hooi Hooi

Abstract

This paper extends the literature concerning non-linearity in oil-stock relationships by putting forward a new paradigm of sectoral and Islamic elements. We explore the asymmetric impact of oil price on Islamic stocks from a sectoral perspective using non-linear Autoregressive Distributed Lag cointegration methodology. The main advantage of this methodology relies on its ability to simultaneously capture the short- and long-run asymmetries through both positive and negative oil price shocks. Our results show weak linkages between oil price changes and the Islamic composite index. However, the nature and sensitivity of the reaction of stock prices to oil price shocks vary considerably across different sectors. In the longer horizon, the relationships between oil price and many Islamic sectoral stocks tend to follow a nonlinear pattern. Furthermore, the behavior of the real economic sectors indices reflects the performance of the composite index that is oil price-resistant. During the turbulent period after 2008, the response of the sectoral indices to oil price movements witnessed notable changes where the sectoral gains from oil price drop that have been observed during the period of study have been found to diminish after 2008. Our finding is in line with the argument that the Islamic composite index is grounded more on and within the real sectors. These findings are robust when considering different oil proxies and different data time-frequencies.

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  • Badeeb, Ramez Abubakr & Lean, Hooi Hooi, 2018. "Asymmetric impact of oil price on Islamic sectoral stocks," Energy Economics, Elsevier, vol. 71(C), pages 128-139.
  • Handle: RePEc:eee:eneeco:v:71:y:2018:i:c:p:128-139
    DOI: 10.1016/j.eneco.2017.11.012
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    Cited by:

    1. Cheema, Muhammad A. & Scrimgeour, Frank, 2019. "Oil prices and stock market anomalies," Energy Economics, Elsevier, vol. 83(C), pages 578-587.
    2. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    3. Mishra, Shekhar & Sharif, Arshian & Khuntia, Sashikanta & Meo, Muhammad Saeed & Rehman Khan, Syed Abdul, 2019. "Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 292-304.
    4. Eleni Zafeiriou & Ioannis Mallidis & Konstantinos Galanopoulos & Garyfallos Arabatzis, 2018. "Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-18, October.
    5. Ftiti, Zied & Hadhri, Sinda, 2019. "Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 40-55.
    6. Wen, Danyan & Wang, Gang-Jin & Ma, Chaoqun & Wang, Yudong, 2019. "Risk spillovers between oil and stock markets: A VAR for VaR analysis," Energy Economics, Elsevier, vol. 80(C), pages 524-535.
    7. Hassan, Kamrul & Hoque, Ariful & Gasbarro, Dominic, 2019. "Separating BRIC using Islamic stocks and crude oil: dynamic conditional correlation and volatility spillover analysis," Energy Economics, Elsevier, vol. 80(C), pages 950-969.
    8. Paulo Ferreira & Éder J. A. L. Pereira & Hernane B. B. Pereira, 2020. "The Exposure of European Union Productive Sectors to Oil Price Changes," Sustainability, MDPI, Open Access Journal, vol. 12(4), pages 1-16, February.
    9. Heni Boubaker & Hichem Rezgui, 2020. "Co-movement between some commodities and the Dow Jones Islamic Index: A Wavelet analysis," Economics Bulletin, AccessEcon, vol. 40(1), pages 574-586.

    More about this item

    Keywords

    Oil price; Islamic stocks; Sectoral; Non-linear ARDL;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • F30 - International Economics - - International Finance - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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