Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak
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DOI: 10.1016/j.resourpol.2021.102236
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- Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Ji, Qiang, 2020.
"Copula-based local dependence among energy, agriculture and metal commodities markets,"
Energy, Elsevier, vol. 202(C).
- Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Qiang Ji, 2020. "Copula-based local dependence among energy, agriculture and metal commodities markets," Working Papers hal-02501815, HAL.
- Tiwari, Aviral Kumar & Boachie, Micheal Kofi & Suleman, Muhammed Tahir & Gupta, Rangan, 2021.
"Structure dependence between oil and agricultural commodities returns: The role of geopolitical risks,"
Energy, Elsevier, vol. 219(C).
- Aviral Kumar Tiwari & Micheal Kofi Boachie & Tahir Suleman & Rangan Gupta, 2020. "Structure Dependence between Oil and Agricultural Commodities Returns: The Role of Geopolitical Risks," Working Papers 202079, University of Pretoria, Department of Economics.
- Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2021.
"The interplay between oil and food commodity prices: Has it changed over time?,"
Journal of International Economics, Elsevier, vol. 133(C).
- Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," CESifo Working Paper Series 7826, CESifo.
- Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2019. "The interplay between oil and food commodity prices: Has It changed over time?," Working Papers 0665, University of Heidelberg, Department of Economics.
- Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/978, Ghent University, Faculty of Economics and Business Administration.
- Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Wanas Al-Jarrah, Idries Mohammad & Mensi, Walid & Vo, Xuan Vinh, 2020. "Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis," Resources Policy, Elsevier, vol. 67(C).
- Tiwari, Aviral Kumar & Nasreen, Samia & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2020. "Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals," Energy Economics, Elsevier, vol. 85(C).
- Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
- Borgards, Oliver & Czudaj, Robert L. & Hoang, Thi Hong Van, 2021. "Price overreactions in the commodity futures market: An intraday analysis of the Covid-19 pandemic impact," Resources Policy, Elsevier, vol. 71(C).
- Shekhar Mishra & Avik Sinha & Arshian Sharif & Norazah Mohd Suki, 2020.
"Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence,"
Current Issues in Tourism, Taylor & Francis Journals, vol. 23(21), pages 2733-2755, November.
- Mishra, Shekhar & Sinha, Avik & Sharif, Arshian & Mohd Suki, Norazah, 2020. "Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence," MPRA Paper 99984, University Library of Munich, Germany.
- Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019.
"Modeling the Relationship between Crude Oil and Agricultural Commodity Prices,"
Energies, MDPI, vol. 12(7), pages 1-41, April.
- Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modelling the relationship between crude oil and agricultural commodity prices," Documentos de Trabajo del ICAE 2019-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Tiwari, Aviral Kumar & Khalfaoui, Rabeh & Solarin, Sakiru Adebola & Shahbaz, Muhammad, 2018.
"Analyzing the time-frequency lead–lag relationship between oil and agricultural commodities,"
Energy Economics, Elsevier, vol. 76(C), pages 470-494.
- Aviral Kumar Tiwari & Rabeh Khalfaoui & Sakiru Adebola Solarin & Muhammad Shahbaz, 2018. "Analyzing the time-frequency lead–lag relationship between oil and agricultural commodities," Post-Print hal-03797590, HAL.
- Kumar, Satish & Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Hille, Erik, 2021.
"Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach,"
Resources Policy, Elsevier, vol. 72(C).
- Kumar, Satish & Tiwari, Aviral & Raheem, Ibrahim & Hille, Erik, 2021. "Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach," MPRA Paper 106684, University Library of Munich, Germany.
- Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016.
"Gold, oil, and stocks: Dynamic correlations,"
International Review of Economics & Finance, Elsevier, vol. 42(C), pages 186-201.
- Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2013. "Gold, Oil, and Stocks," Papers 1308.0210, arXiv.org, revised Mar 2014.
- Jozef Baruník & Evžen Kocenda & Lukáš Vácha, 2015. "Gold, Oil, and Stocks: Dynamic Correlations," CESifo Working Paper Series 5333, CESifo.
- Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2014. "Gold, Oil, and Stocks," FinMaP-Working Papers 14, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Goodell, John W. & Goutte, Stephane, 2021.
"Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis,"
Finance Research Letters, Elsevier, vol. 38(C).
- John W Goodell & Stéphane Goutte, 2020. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Working Papers halshs-02613277, HAL.
- Nagayev, Ruslan & Disli, Mustafa & Inghelbrecht, Koen & Ng, Adam, 2016. "On the dynamic links between commodities and Islamic equity," Energy Economics, Elsevier, vol. 58(C), pages 125-140.
- Madaleno, Mara & Pinho, Carlos, 2014. "Wavelet dynamics for oil-stock world interactions," Energy Economics, Elsevier, vol. 45(C), pages 120-133.
- Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
- Fasanya, Ismail & Akinbowale, Seun, 2019. "Modelling the return and volatility spillovers of crude oil and food prices in Nigeria," Energy, Elsevier, vol. 169(C), pages 186-205.
- Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
- Diebold, Francis X. & Yilmaz, Kamil, 2012.
"Better to give than to receive: Predictive directional measurement of volatility spillovers,"
International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
- Francis X. Diebold & Kamil Yilmaz, 2010. "Better to Give than to Receive: Predictive Directional Measurement of Volatility Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1001, Koc University-TUSIAD Economic Research Forum, revised Mar 2010.
- Satish Kumar & Aviral Kumar Tiwari & I. D. Raheem & Qiang Ji, 2020.
"Dependence risk analysis in energy, agricultural and precious metals commodities: a pair vine copula approach,"
Applied Economics, Taylor & Francis Journals, vol. 52(28), pages 3055-3072, June.
- Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019. "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Working Papers 19/092, European Xtramile Centre of African Studies (EXCAS).
- Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019. "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Working Papers of the African Governance and Development Institute. 19/092, African Governance and Development Institute..
- Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019. "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Research Africa Network Working Papers 19/092, Research Africa Network (RAN).
- Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
- Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
- Zhan-Ming Chen & Liyuan Wang & Xiao-Bing Zhang & Xinye Zheng, 2019. "The Co-Movement and Asymmetry between Energy and Grain Prices: Evidence from the Crude Oil and Corn Markets," Energies, MDPI, vol. 12(7), pages 1-18, April.
- Kang, Sang Hoon & Uddin, Gazi Salah & Troster, Victor & Yoon, Seong-Min, 2019. "Directional spillover effects between ASEAN and world stock markets," Journal of Multinational Financial Management, Elsevier, vol. 52.
- Awartani, Basel & Aktham, Maghyereh & Cherif, Guermat, 2016. "The connectedness between crude oil and financial markets: Evidence from implied volatility indices," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 56-69.
- Shiferaw, Yegnanew A., 2019. "Time-varying correlation between agricultural commodity and energy price dynamics with Bayesian multivariate DCC-GARCH models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
- Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2020. "Risk and Financial Management of COVID-19 in Business, Economics and Finance," JRFM, MDPI, vol. 13(5), pages 1-7, May.
- Yaxian Lu & Longguang Yang & Lihong Liu, 2019. "Volatility Spillovers between Crude Oil and Agricultural Commodity Markets since the Financial Crisis," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
- Atems, Bebonchu & Melichar, Mark, 2019. "Do Global Crude Oil Market Shocks Have Differential Effects On Us Regions?," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1978-2008, July.
- Ngo Thai Hung, 2020. "Market integration among foreign exchange rate movements in central and eastern European countries," Society and Economy, Akadémiai Kiadó, Hungary, vol. 42(1), pages 1-20, March.
- Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).
- Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2020. "Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 156-164.
- Maghyereh, Aktham I. & Awartani, Basel & Bouri, Elie, 2016. "The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 57(C), pages 78-93.
- Pal, Debdatta & Mitra, Subrata K., 2019. "Correlation dynamics of crude oil with agricultural commodities: A comparison between energy and food crops," Economic Modelling, Elsevier, vol. 82(C), pages 453-466.
- Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
- Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017. "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, vol. 66(C), pages 122-139.
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More about this item
Keywords
COVID-19; Agricultural commodity; Crude oil; Wavelet coherence; Spillover index; JEL Clarifications: C11; C52; Q41;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
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