Literature DB >> 33606770

Return and volatility transmission between oil price shocks and agricultural commodities.

Zaghum Umar1,2, Mariya Gubareva3,4, Muhammad Naeem5, Ayesha Akhter5.   

Abstract

This paper studies the connectedness between oil price shocks and agricultural commodities. Our sample period ranges from January 2002 to July 2020, covering the three global crises; Global Financial Crisis, the European sovereign debt crisis and Covid-19 pandemic crisis. We employ Granger causality tests, and the static and dynamic connectedness spillover index methodology. We find that the shocks in oil prices are Granger-caused mainly by price changes of grains, live cattle, and wheat, while supply shock granger causes variations mostly in grain prices. We find that, from the point of view of static connectedness, for both, price and volatility spillovers, the livestock is the largest transmitter, while the lean hogs are the major receiver. Our dynamic analysis evidences that connectedness increases during the financial crisis period. Our results are potentially useful for investors, portfolios managers and policy makers.

Entities:  

Year:  2021        PMID: 33606770     DOI: 10.1371/journal.pone.0246886

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  5 in total

1.  Bananas, coffee and palm oil: The trade of agricultural commodities in the framework of the EU-Colombia free trade agreement.

Authors:  Julieth P Cubillos T; Béla Soltész; László Vasa
Journal:  PLoS One       Date:  2021-08-24       Impact factor: 3.240

2.  Impact persistence of stock market risks in commodity markets: Evidence from China.

Authors:  Shusheng Ding; Zhipan Yuan; Fan Chen; Xihan Xiong; Zheng Lu; Tianxiang Cui
Journal:  PLoS One       Date:  2021-11-08       Impact factor: 3.240

3.  Exploring time-varying impact of world pandemic uncertainty on China's commodity prices using TVP-SVAR-SV model.

Authors:  Qiang Cao; Xiu-Qi Yang; Hu Chen; Wenmei Yu
Journal:  Front Public Health       Date:  2022-08-15

4.  COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis.

Authors:  Xingyu Dai; Matthew C Li; Ling Xiao; Qunwei Wang
Journal:  Resour Policy       Date:  2022-10-11

5.  The impact of the Covid-19 related media coverage upon the five major developing markets.

Authors:  Zaghum Umar; Mariya Gubareva; Tatiana Sokolova
Journal:  PLoS One       Date:  2021-07-01       Impact factor: 3.240

  5 in total

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