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Crude oil and Islamic sectoral stocks: Asymmetric TVP-VAR connectedness and investment strategies

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  • Adekoya, Oluwasegun B.
  • Akinseye, Ademola B.
  • Antonakakis, Nikolaos
  • Chatziantoniou, Ioannis
  • Gabauer, David
  • Oliyide, Johnson

Abstract

In this study we examine the asymmetric propagation of return spillovers between oil prices and Islamic stock prices at the sector level. To achieve that, we extend the work of Antonakakis et al. (2020a), by introducing measures of asymmetric dynamic connectedness based on a time-varying vector autoregressive (TVPVAR) model. Furthermore, in the spirit of Broadstock et al. (2020), we perform dynamic portfolio exercises based on common hedging techniques and the minimum connectedness portfolio approach to find out what better captures asymmetry. Our daily dataset includes Brent crude oil and nine Islamic sectoral stocks spanning from April 25, 2013 to September 2, 2021. The findings reveal that, with the exception of the early stages of the COVID pandemic, negative connectedness dominates the sample period, indicating that investors in Islamic markets tend to react more to negative news. In turn, the prevalence of positive connectedness in early 2020 suggests that Islamic markets were relatively resilient to the pandemic. Finally, the minimum connectedness portfolio approach captures asymmetry effectively thereby providing significant insights for portfolio management.

Suggested Citation

  • Adekoya, Oluwasegun B. & Akinseye, Ademola B. & Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Gabauer, David & Oliyide, Johnson, 2022. "Crude oil and Islamic sectoral stocks: Asymmetric TVP-VAR connectedness and investment strategies," Resources Policy, Elsevier, vol. 78(C).
  • Handle: RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003221
    DOI: 10.1016/j.resourpol.2022.102877
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    More about this item

    Keywords

    COVID-19; TVP-VAR; Dynamic connectedness; Asymmetric connectedness; Portfolio management; Hedging effectiveness; Islamic stocks; Crude oil;
    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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