Oil shocks and BRIC markets: Evidence from extreme quantile approach

Muhammad Abubakr Naeem, Linh Pham, Arunachalam Senthilkumar, Sitara Karim

Research output: Contribution to journalArticlepeer-review

108 Citations (Scopus)

Abstract

The present study aims to configure the extreme quantile dependence between oil shocks and BRIC markets from January 2, 1995 to July 27, 2021. Using the cross-quantilogram technique, the current study first decomposed oil shocks pertaining to demand and supply and analyzed their asymmetric impact on BRIC markets. Our findings manifest positive and persistent dependencies between oil demand shocks and BRIC markets. Meanwhile, substantial cross-quantile dependence is demonstrated among shocks in oil supply and the stock returns of Russia. The recursive cross-quantilogram analysis indicates time-varying characteristics reiterating that oil demand shocks are positively and significantly correlated with BRIC stock returns, particularly after the Global Financial Crisis and the financialization of energy commodities. However, weaker dependencies are observed in the normal market conditions in the absence of financial contagion. Finally, our results remain robust after controlling the impact of idiosyncratic risk shocks. Our findings are of particular prominence for BRIC markets, particularly in terms of oil-exporting (importing) status. Along with these, the findings carry substantial ramifications for policymakers, investors, and financial market constituents to restructure their current policies and strategies for avoiding uncertainty in the stock returns.

Original languageEnglish
Article number105932
JournalEnergy Economics
Volume108
DOIs
Publication statusPublished - Apr 2022

Keywords

  • BRIC markets
  • Cross-quantilogram
  • Extreme quantiles
  • Oil shocks

ASJC Scopus subject areas

  • Economics and Econometrics
  • General Energy

Fingerprint

Dive into the research topics of 'Oil shocks and BRIC markets: Evidence from extreme quantile approach'. Together they form a unique fingerprint.

Cite this