Purpose This paper aims to contribute to the clarification of whether the dependence and causality between oil and the macrofundamentals change across different quantiles of the distribution function. Design/methodology/approach Within the context of an asymmetric quantile approach, we drop the assumption that variables operate at the upper tails of the distribution in the way that they operate at the mean. Findings Our innovative approach indicates that the response of oil prices not only differs according to the underlying source of the variables shock but also differs across the quantiles. Originality/value Although a number of recent studies are closely related to our present research, our novel findings offer some important insights that foreshadow the empirical results. The current research addresses to answer the following questions, in sequence: (i) Is there any extreme value dependence between the crude oil and macroeconomic variables? If yes, (ii) is the dependence symmetric or asymmetric? Finally, (iii) can this dependence be driven by the phases of the economic cycle?
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Shaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, PakistanShaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, Pakistan
Chang, Bisharat Hussain
Sharif, Arshian
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Univ Utara Malaysia, Othman Yeop Abdullah Grad Sch Business, Changlun, MalaysiaShaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, Pakistan
Sharif, Arshian
Aman, Ameenullah
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Iqra Univ, Dept Business Adm, Karachi, PakistanShaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, Pakistan
Aman, Ameenullah
Suki, Norazah Mohd
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Univ Utara Malaysia, Othman Yeop Abdullah Grad Sch Business, Changlun, MalaysiaShaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, Pakistan
Suki, Norazah Mohd
Salman, Asma
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Amer Univ Emirates, Coll Business Adm, Dept Accounting Finance & Econ, Dubai, U Arab EmiratesShaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, Pakistan
Salman, Asma
Khan, Syed Abdul Rehman
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Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R ChinaShaheed Zulifqar Ali Bhutto Inst Sci & Technol, Dept Management Sci, Larkana, Pakistan
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Cent South Univ, Sch Business, Changsha 410083, Peoples R China
Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R ChinaCent South Univ, Sch Business, Changsha 410083, Peoples R China
Chen, Ying
Zhu, Xuehong
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Cent South Univ, Sch Business, Changsha 410083, Peoples R China
Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R ChinaCent South Univ, Sch Business, Changsha 410083, Peoples R China
Zhu, Xuehong
Li, Hailing
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Hunan Agr Univ, Business Sch, Changsha 410125, Peoples R ChinaCent South Univ, Sch Business, Changsha 410083, Peoples R China