The asymmetric oil price and policy uncertainty shock exposure of emerging market sectoral equity returns: A quantile regression approach

被引:42
|
作者
Das, Debojyoti [1 ]
Kannadhasan, M. [2 ]
机构
[1] Woxsen Univ, Sch Business, Hyderabad 502345, TS, India
[2] Indian Inst Management Raipur, Atal Nagar 493661, CG, India
关键词
Emerging markets; Oil; Stock returns; Quantile regression; CHINESE STOCK RETURNS; CRUDE-OIL; EXCHANGE-RATES; MONETARY-POLICY; INDUSTRIAL-PRODUCTION; SUPPLY SHOCKS; CO-MOVEMENT; SAFE HAVEN; IMPACT; DEPENDENCE;
D O I
10.1016/j.iref.2020.06.013
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We examine the asymmetric impact of oil, and economic policy uncertainty shocks on the emerging markets composite sectoral equity indexes. We use the novel shock decomposition approach propounded by Ready (2018) to disentangle the oil price changes into the oil demand, supply and risk shocks. We find that the demand shocks are positively related to sectoral returns. However, the supply, risk and EPU shocks are negatively associated with sectoral returns. Additionally, the sectoral returns are mainly vulnerable to these shocks at the bearish market conditions. Further, we also investigate the asymmetric exposure of sectoral returns to these shocks, and we find that the lower demand shocks are associated with higher returns. Besides, the higher supply, risk and EPU shocks have a more intense impact on sectoral returns than otherwise. Hence, we document the evidence of the asymmetric relationship of oil and EPU shocks with sectoral returns. We believe that our results are novel and add value to the existing literature in this domain.
引用
收藏
页码:563 / 581
页数:19
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  • [1] The asymmetric impact of oil price uncertainty on emerging market financial stress: A quantile regression approach
    Das, Debojyoti
    Dutta, Anupam
    Jana, Rabin K.
    Ghosh, Indranil
    [J]. INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2023, 28 (04) : 4299 - 4323
  • [2] Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression
    You, Wanhai
    Guo, Yawei
    Zhu, Huiming
    Tang, Yong
    [J]. ENERGY ECONOMICS, 2017, 68 : 1 - 18
  • [3] The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach
    Chang, Bisharat Hussain
    Sharif, Arshian
    Aman, Ameenullah
    Suki, Norazah Mohd
    Salman, Asma
    Khan, Syed Abdul Rehman
    [J]. RESOURCES POLICY, 2020, 65
  • [4] Dependence between oil price changes and sectoral stock returns in Pakistan: Evidence from a quantile regression approach
    Khan, Mushtaq Hussain
    Ahmed, Junaid
    Mughal, Mazhar
    [J]. ENERGY & ENVIRONMENT, 2022, 33 (02) : 315 - 331
  • [5] Changes in oil price and economic policy uncertainty and the G7 stock returns: evidence from asymmetric quantile regression analysis
    Nusair, Salah A.
    Al-Khasawneh, Jamal A.
    [J]. ECONOMIC CHANGE AND RESTRUCTURING, 2023, 56 (03) : 1849 - 1893
  • [6] Changes in oil price and economic policy uncertainty and the G7 stock returns: evidence from asymmetric quantile regression analysis
    Salah A. Nusair
    Jamal A. Al-Khasawneh
    [J]. Economic Change and Restructuring, 2023, 56 : 1849 - 1893
  • [7] Asymmetric dependence between economic policy uncertainty and stock market returns in G7 and BRIC: A quantile regression approach
    Guo Peng
    Zhu Huiming
    You Wanhai
    [J]. FINANCE RESEARCH LETTERS, 2018, 25 : 251 - 258
  • [8] Are the macroeconomic effects on oil price asymmetric? An asymmetric quantile regression approach
    Alqaralleh, Huthaifa
    [J]. INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2022, 16 (05) : 1000 - 1014
  • [9] Economic policy uncertainty and Indian equity sectors: a quantile regression approach
    Simran
    Sharma, Anil K.
    [J]. JOURNAL OF FINANCIAL ECONOMIC POLICY, 2024,
  • [10] The asymmetric effects of oil price shocks and uncertainty on non- ferrous metal market: Based on quantile regression
    Chen, Ying
    Zhu, Xuehong
    Li, Hailing
    [J]. ENERGY, 2022, 246