Skip to main content
Top

2024 | OriginalPaper | Chapter

An Analysis of Volatility Spillover Effect Between Energy and Agricultural Markets

Authors : Pachraporn Arkornsakul, Tanapol Rattanasamakarn, Konnika Palason

Published in: Applications of Optimal Transport to Economics and Related Topics

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this investigation spanning the period from 2019 to 2023, we delve into the dynamic relationship between the energy and agriculture markets, placing a specific emphasis on the disruptive energy price crisis emanating from the Ukraine war. The article conducts a thorough analysis of volatility spillovers between these two crucial sectors, elucidating directional volatility transmission and pinpointing key sectors that serve as primary contributors to volatility shocks. Notably, the Total Spillover Index (TSI), a pivotal metric in this context, consistently records at approximately 13% throughout the study period, indicating noteworthy spillover effects and a robust inter-sector connectedness. This study not only brings to light intricate patterns of spillover effects but also provides valuable insights into their implications for financial stability.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Parker, M.: Global inflation: the role of food, housing and energy prices (2017) Parker, M.: Global inflation: the role of food, housing and energy prices (2017)
2.
go back to reference Battistini, N., Grapow, H., Hahn, E., Soudan, M.: Wage share dynamics and second-round effects on inflation after energy price surges in the 1970s and today. Economic Bulletin Boxes, vol. 5 (2022) Battistini, N., Grapow, H., Hahn, E., Soudan, M.: Wage share dynamics and second-round effects on inflation after energy price surges in the 1970s and today. Economic Bulletin Boxes, vol. 5 (2022)
3.
go back to reference Adekoya, O.B., Oliyide, J.A., Akinseye, A.B., Ogunbowale, G.O.: Oil and multinational technology stocks: predicting fear with fear at the first and higher order moments. Financ. Res. Lett. 46, 102210 (2022)CrossRef Adekoya, O.B., Oliyide, J.A., Akinseye, A.B., Ogunbowale, G.O.: Oil and multinational technology stocks: predicting fear with fear at the first and higher order moments. Financ. Res. Lett. 46, 102210 (2022)CrossRef
4.
go back to reference Adekoya, O.B., Oliyide, J.A., Akinseye, A.B., Ogunbowale, G.O.: Oil and multinational technology stocks: predicting fear with fear at the first and higher order moments. Financ. Res. Lett. 46, 102210 (2022)CrossRef Adekoya, O.B., Oliyide, J.A., Akinseye, A.B., Ogunbowale, G.O.: Oil and multinational technology stocks: predicting fear with fear at the first and higher order moments. Financ. Res. Lett. 46, 102210 (2022)CrossRef
5.
go back to reference Diebold, F.X., Yilmaz, K.: Measuring financial asset return and volatility spillovers, with application to global equity markets. Econ. J. 119(534), 158–171 (2009)CrossRef Diebold, F.X., Yilmaz, K.: Measuring financial asset return and volatility spillovers, with application to global equity markets. Econ. J. 119(534), 158–171 (2009)CrossRef
6.
go back to reference Laborda, R., Olmo, J.: Volatility spillover between economic sectors in financial crisis prediction: evidence spanning the great financial crisis and Covid-19 pandemic. Res. Int. Bus. Financ. 57, 101402 (2021)CrossRef Laborda, R., Olmo, J.: Volatility spillover between economic sectors in financial crisis prediction: evidence spanning the great financial crisis and Covid-19 pandemic. Res. Int. Bus. Financ. 57, 101402 (2021)CrossRef
7.
go back to reference Zhang, D., Hu, M., Ji, Q.: Financial markets under the global pandemic of COVID-19. Financ. Res. Lett. 36, 101528 (2020)CrossRef Zhang, D., Hu, M., Ji, Q.: Financial markets under the global pandemic of COVID-19. Financ. Res. Lett. 36, 101528 (2020)CrossRef
8.
go back to reference Hasan, M.B., Mahi, M., Sarker, T., Amin, M.R.: Spillovers of the COVID-19 pandemic: impact on global economic activity, the stock market, and the energy sector. J. Risk Financ. Manag. 14(5), 200 (2021)CrossRef Hasan, M.B., Mahi, M., Sarker, T., Amin, M.R.: Spillovers of the COVID-19 pandemic: impact on global economic activity, the stock market, and the energy sector. J. Risk Financ. Manag. 14(5), 200 (2021)CrossRef
9.
go back to reference Bissoondoyal-Bheenick, E., Do, H., Hu, X., Zhong, A.: Learning from SARS: return and volatility connectedness in COVID-19. Financ. Res. Lett. 41, 101796 (2021)CrossRef Bissoondoyal-Bheenick, E., Do, H., Hu, X., Zhong, A.: Learning from SARS: return and volatility connectedness in COVID-19. Financ. Res. Lett. 41, 101796 (2021)CrossRef
10.
go back to reference Aslam, F., Ferreira, P., Mughal, K.S., Bashir, B.: Intraday volatility spillovers among European financial markets during COVID-19. Int. J. Financ. Stud. 9(1), 5 (2021)CrossRef Aslam, F., Ferreira, P., Mughal, K.S., Bashir, B.: Intraday volatility spillovers among European financial markets during COVID-19. Int. J. Financ. Stud. 9(1), 5 (2021)CrossRef
11.
go back to reference Akinlaso, M.I., Robbana, A., Mohamed, N.: Volatility transmission within financial markets during the COVID-19 pandemic: are faith-based investors well off in Tunisia? J. Islam. Account. Bus. Res. 13(1), 98–113 (2022)CrossRef Akinlaso, M.I., Robbana, A., Mohamed, N.: Volatility transmission within financial markets during the COVID-19 pandemic: are faith-based investors well off in Tunisia? J. Islam. Account. Bus. Res. 13(1), 98–113 (2022)CrossRef
12.
go back to reference Choi, S.Y.: Volatility spillovers among Northeast Asia and the US: evidence from the global financial crisis and the COVID-19 pandemic. Econ. Anal. Policy 73, 179–193 (2022)CrossRef Choi, S.Y.: Volatility spillovers among Northeast Asia and the US: evidence from the global financial crisis and the COVID-19 pandemic. Econ. Anal. Policy 73, 179–193 (2022)CrossRef
13.
go back to reference Gunay, S., Can, G.: The source of financial contagion and spillovers: an evaluation of the Covid-19 pandemic and the global financial crisis. PLoS ONE 17(1), e0261835 (2022)CrossRef Gunay, S., Can, G.: The source of financial contagion and spillovers: an evaluation of the Covid-19 pandemic and the global financial crisis. PLoS ONE 17(1), e0261835 (2022)CrossRef
14.
go back to reference Ghorbel, A., Jeribi, A.: Volatility spillovers and contagion between energy sector and financial assets during COVID-19 crisis period. Eurasian Econ. Rev. 11, 449–467 (2021)CrossRef Ghorbel, A., Jeribi, A.: Volatility spillovers and contagion between energy sector and financial assets during COVID-19 crisis period. Eurasian Econ. Rev. 11, 449–467 (2021)CrossRef
15.
go back to reference Wen, F., Cao, J., Liu, Z., Wang, X.: Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets. Int. Rev. Financ. Anal. 76, 101772 (2021)CrossRef Wen, F., Cao, J., Liu, Z., Wang, X.: Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets. Int. Rev. Financ. Anal. 76, 101772 (2021)CrossRef
16.
go back to reference Samitas, A., Papathanasiou, S., Koutsokostas, D., Kampouris, E.: Volatility spillovers between fine wine and major global markets during COVID-19: a portfolio hedging strategy for investors. Int. Rev. Econ. Financ. 78, 629–642 (2022)CrossRef Samitas, A., Papathanasiou, S., Koutsokostas, D., Kampouris, E.: Volatility spillovers between fine wine and major global markets during COVID-19: a portfolio hedging strategy for investors. Int. Rev. Econ. Financ. 78, 629–642 (2022)CrossRef
17.
go back to reference Farid, S., Kayani, G.M., Naeem, M.A., Shahzad, S.J.H.: Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. Resour. Policy 72, 102101 (2021)CrossRef Farid, S., Kayani, G.M., Naeem, M.A., Shahzad, S.J.H.: Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. Resour. Policy 72, 102101 (2021)CrossRef
18.
go back to reference Elgammal, M.M., Ahmed, W.M., Alshami, A.: Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic. Resour. Policy 74, 102334 (2021)CrossRef Elgammal, M.M., Ahmed, W.M., Alshami, A.: Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic. Resour. Policy 74, 102334 (2021)CrossRef
19.
go back to reference Su, X., Liu, Z.: Sector volatility spillover and economic policy uncertainty: evidence from China’s stock market. Mathematics 9(12), 1411 (2021)CrossRef Su, X., Liu, Z.: Sector volatility spillover and economic policy uncertainty: evidence from China’s stock market. Mathematics 9(12), 1411 (2021)CrossRef
20.
go back to reference Choi, S.Y.: Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday. N. Am. J. Econ. Financ. 59, 101614 (2022)CrossRef Choi, S.Y.: Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday. N. Am. J. Econ. Financ. 59, 101614 (2022)CrossRef
21.
go back to reference Lin, S.X., Tamvakis, M.N.: Spillover effects in energy futures markets. Energy Econ. 23(1), 43–56 (2001)CrossRef Lin, S.X., Tamvakis, M.N.: Spillover effects in energy futures markets. Energy Econ. 23(1), 43–56 (2001)CrossRef
22.
go back to reference Hammoudeh, S., Li, H., Jeon, B.: Causality and volatility spillovers among petroleum prices of WTI, gasoline and heating oil in different locations. N. Am. J. Econ. Financ. 14(1), 89–114 (2003)CrossRef Hammoudeh, S., Li, H., Jeon, B.: Causality and volatility spillovers among petroleum prices of WTI, gasoline and heating oil in different locations. N. Am. J. Econ. Financ. 14(1), 89–114 (2003)CrossRef
23.
go back to reference Maneejuk, P., Yamaka, W.: Significance test for linear regression: how to test without P-values? J. Appl. Stat. 48(5), 827–845 (2021)CrossRef Maneejuk, P., Yamaka, W.: Significance test for linear regression: how to test without P-values? J. Appl. Stat. 48(5), 827–845 (2021)CrossRef
Metadata
Title
An Analysis of Volatility Spillover Effect Between Energy and Agricultural Markets
Authors
Pachraporn Arkornsakul
Tanapol Rattanasamakarn
Konnika Palason
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-67770-0_44