IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v70y2021ics0301420720309934.html
   My bibliography  Save this article

Financial contagion between the financial and the mining industries – Empirical evidence based on the symmetric and asymmetric CoVaR approach

Author

Listed:
  • Fijorek, Kamil
  • Jurkowska, Aleksandra
  • Jonek-Kowalska, Izabela

Abstract

In globalised economies, the extent, intensity and speed of the spreading of economic crises are rapidly growing. This increases the risk of doing business on a macro- and microeconomic scale. Prevention of the negative consequences of cumulative crises requires a careful study of the mechanisms of their emergence and dissemination. The main purpose of the article is to identify the contagion effect between the financial and mining sectors in eight countries, in which the raw materials industry plays an important role in economic development (Australia, Canada, China, India, Russia, South Africa, the UK and the USA). Until now, research in this area has rarely been carried out. Our results allow to indicate the direction and time distribution of cross-sectoral contagion using symmetric and asymmetric CoVaR. The research period covered the years 2008–2019, divided into three four-year time windows (2008–2011, 2012–2015, 2016–2019). The analysis was conducted at the level of both entire markets and individual entities. For “entire markets” we used the Thomson Reuters (ThR) or FTSE stock market industry indices (banking and mining), depending on the availability of the index in the ThR database. In the case of the “individual level”, the research sample comprised of three out of ten of the largest (in terms of market value at the end of 2018) banks (or bank holding companies) and mining enterprises in each country, for which stock quotations were available in the ThR database. The conclusions of the research indicate the strong impact of financial crises on the mining industry, which suggests that the banking sector was a source of financial contagion for the mining sector. In addition, our results indicate the possibility of reversing the direction of the contagion effect in the case of economies, where the raw material industry plays a strategic role and is an important determinant of economic growth. The results obtained contribute to the economics of resources and can be used in forecasts regarding the spread of crises in the financial and mining industries. Proper recognition of the direction and time distribution of the contagion effect may also be useful when selecting macro- and microeconomic tools of anti-crisis policy.

Suggested Citation

  • Fijorek, Kamil & Jurkowska, Aleksandra & Jonek-Kowalska, Izabela, 2021. "Financial contagion between the financial and the mining industries – Empirical evidence based on the symmetric and asymmetric CoVaR approach," Resources Policy, Elsevier, vol. 70(C).
  • Handle: RePEc:eee:jrpoli:v:70:y:2021:i:c:s0301420720309934
    DOI: 10.1016/j.resourpol.2020.101965
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420720309934
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2020.101965?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sephton, Peter & Mann, Janelle, 2018. "Gold and crude oil prices after the great moderation," Energy Economics, Elsevier, vol. 71(C), pages 273-281.
    2. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2012. "Coal consumption, CO2 emission and economic growth in China: Empirical evidence and policy responses," Energy Economics, Elsevier, vol. 34(2), pages 518-528.
    3. Kim, Jae H. & Rahman, Md Lutfur & Shamsuddin, Abul, 2019. "Can energy prices predict stock returns? An extreme bounds analysis," Energy Economics, Elsevier, vol. 81(C), pages 822-834.
    4. Evatt, Geoffrey William & Soltan, Mousa Omid & Johnson, Paul V., 2012. "Mineral reserves under price uncertainty," Resources Policy, Elsevier, vol. 37(3), pages 340-345.
    5. Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2017. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Journal of Financial Econometrics, Oxford University Press, vol. 15(4), pages 649-677.
    6. Betz, Michael R. & Partridge, Mark D. & Farren, Michael & Lobao, Linda, 2015. "Coal mining, economic development, and the natural resources curse," Energy Economics, Elsevier, vol. 50(C), pages 105-116.
    7. Liu, Ming-Hua & Margaritis, Dimitris & Zhang, Yang, 2013. "Market-driven coal prices and state-administered electricity prices in China," Energy Economics, Elsevier, vol. 40(C), pages 167-175.
    8. López-Espinosa, Germán & Moreno, Antonio & Rubia, Antonio & Valderrama, Laura, 2012. "Short-term wholesale funding and systemic risk: A global CoVaR approach," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3150-3162.
    9. Qian, Yao & Ralescu, Dan A. & Zhang, Bo, 2019. "The analysis of factors affecting global gold price," Resources Policy, Elsevier, vol. 64(C).
    10. Larry D. Wall, 2010. "Too-big-to-fail after FDICIA," Economic Review, Federal Reserve Bank of Atlanta, vol. 95(1).
    11. Wang, Jianliang & Guo, Meiyu & Liu, Mingming & Wei, Xinqiang, 2020. "Long-term outlook for global rare earth production," Resources Policy, Elsevier, vol. 65(C).
    12. Fernandez, Viviana, 2019. "Assessing cycles of mine production and prices of industrial metals," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    13. Batten, Jonathan A. & Ciner, Cetin & Kosedag, Arman & Lucey, Brian M., 2017. "Is the price of gold to gold mining stocks asymmetric?," Economic Modelling, Elsevier, vol. 60(C), pages 402-407.
    14. Ms. Renee Fry & Mr. Vance Martin & Ms. Brenda Gonzalez-Hermosillo & Mr. Mardi Dungey, 2002. "International Contagion Effects from the Russian Crisis and the LTCM Near-Collapse," IMF Working Papers 2002/074, International Monetary Fund.
    15. Scott E. Harrington, 2009. "The Financial Crisis, Systemic Risk, and the Future of Insurance Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(4), pages 785-819, December.
    16. Sarwar, Suleman & Tiwari, Aviral Kumar & Tingqiu, Cao, 2020. "Analyzing volatility spillovers between oil market and Asian stock markets," Resources Policy, Elsevier, vol. 66(C).
    17. Guoxiang Xu & Wangfeng Gao, 2019. "Financial Risk Contagion in Stock Markets: Causality and Measurement Aspects," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    18. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross‐Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, April.
    19. Teng, Meixuan & Burke, Paul J. & Liao, Hua, 2019. "The demand for coal among China's rural households: Estimates of price and income elasticities," Energy Economics, Elsevier, vol. 80(C), pages 928-936.
    20. van de Ven, Dirk Jan & Fouquet, Roger, 2017. "Historical energy price shocks and their changing effects on the economy," Energy Economics, Elsevier, vol. 62(C), pages 204-216.
    21. Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    22. Leeuw, Paseka & Mtegha, Hudson, 2018. "The significance of mining backward and forward linkages in reskilling redundant mine workers in South Africa," Resources Policy, Elsevier, vol. 56(C), pages 31-37.
    23. Faisal, Faisal & Sulaiman, Yasir & Tursoy, Turgut, 2019. "Does an asymmetric nexus exist between financial deepening and natural resources for emerging economy? Evidence from multiple break cointegration test," Resources Policy, Elsevier, vol. 64(C).
    24. Qiao, Hui & Chen, Siyu & Dong, Xiucheng & Dong, Kangyin, 2019. "Has China's coal consumption actually reached its peak? National and regional analysis considering cross-sectional dependence and heterogeneity," Energy Economics, Elsevier, vol. 84(C).
    25. Magnus Ericsson & Olof Löf, 2019. "Mining’s contribution to national economies between 1996 and 2016," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(2), pages 223-250, July.
    26. Mr. Jorge A Chan-Lau, 2017. "Variance Decomposition Networks: Potential Pitfalls and a Simple Solution," IMF Working Papers 2017/107, International Monetary Fund.
    27. Cai, Zhengyu & Maguire, Karen & Winters, John V., 2018. "Who Benefits from Local Oil and Gas Employment? Labor Market Composition in the Oil and Gas Industry in Texas," GLO Discussion Paper Series 246, Global Labor Organization (GLO).
    28. Sebastian Edwards, 2000. "Capital Flows and the Emerging Economies: Theory, Evidence, and Controversies," NBER Books, National Bureau of Economic Research, Inc, number edwa00-1.
    29. West, James, 2020. "Extractable global resources and the future availability of metal stocks: “Known Unknowns” for the foreseeable future," Resources Policy, Elsevier, vol. 65(C).
    30. Cai, Zhengyu & Maguire, Karen & Winters, John V., 2019. "Who benefits from local oil and gas employment? Labor market composition in the oil and gas industry in Texas and the rest of the United States," Energy Economics, Elsevier, vol. 84(C).
    31. Lindholt, Lars & Glomsrød, Solveig, 2018. "Phasing out coal and phasing in renewables – Good or bad news for arctic gas producers?," Energy Economics, Elsevier, vol. 70(C), pages 1-11.
    32. Salisu, Afees A. & Adediran, Idris A., 2019. "Assessing the inflation hedging potential of coal and iron ore in Australia," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    33. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    34. Ren, Xiaohang & Lu, Zudi & Cheng, Cheng & Shi, Yukun & Shen, Jian, 2019. "On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis," Energy Economics, Elsevier, vol. 80(C), pages 234-252.
    35. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
    36. Gritsenko, Daria & Efimova, Elena, 2020. "Is there Arctic resource curse? Evidence from the Russian Arctic regions," Resources Policy, Elsevier, vol. 65(C).
    37. Asif, Muhammad & Khan, Khan Burhan & Anser, Muhammad Khalid & Nassani, Abdelmohsen A. & Abro, Muhammad Moinuddin Qazi & Zaman, Khalid, 2020. "Dynamic interaction between financial development and natural resources: Evaluating the ‘Resource curse’ hypothesis," Resources Policy, Elsevier, vol. 65(C).
    38. Guillermo A. Calvo & Enrique G. Mendoza, 2000. "Contagion, Globalization, and the Volatility of Capital Flows," NBER Chapters, in: Capital Flows and the Emerging Economies: Theory, Evidence, and Controversies, pages 15-41, National Bureau of Economic Research, Inc.
    39. Husain, Shaiara & Tiwari, Aviral Kumar & Sohag, Kazi & Shahbaz, Muhammad, 2019. "Connectedness among crude oil prices, stock index and metal prices: An application of network approach in the USA," Resources Policy, Elsevier, vol. 62(C), pages 57-65.
    40. George Hondroyiannis & Harry Kelejian & George Tavlas, 2009. "Spatial Aspects of Contagion among Emerging Economies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(2), pages 191-211.
    41. Mardi Dungey & Marius Matei & Matteo Luciani & David Veredas, 2017. "Surfing through the GFC: Systemic Risk in Australia," The Economic Record, The Economic Society of Australia, vol. 93(300), pages 1-19, March.
    42. Helwege, Jean, 2010. "Financial firm bankruptcy and systemic risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(1), pages 1-12, February.
    43. Chai, Jian & Du, Mengfan & Liang, Ting & Sun, Xiaojie Christine & Yu, Ji & Zhang, Zhe George, 2019. "Coal consumption in China: How to bend down the curve?," Energy Economics, Elsevier, vol. 80(C), pages 38-47.
    44. Anufriev, Mikhail & Panchenko, Valentyn, 2015. "Connecting the dots: Econometric methods for uncovering networks with an application to the Australian financial institutions," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 241-255.
    45. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    46. Raza, Syed Ali & Shah, Nida & Shahbaz, Muhammad, 2018. "Does economic policy uncertainty influence gold prices? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 57(C), pages 61-68.
    47. E, Jianwei & Ye, Jimin & Jin, Haihong, 2019. "A novel hybrid model on the prediction of time series and its application for the gold price analysis and forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    48. Paulick, Holger & Machacek, Erika, 2017. "The global rare earth element exploration boom: An analysis of resources outside of China and discussion of development perspectives," Resources Policy, Elsevier, vol. 52(C), pages 134-153.
    49. Clemens Sialm & Zheng Sun & Lu Zheng, 2020. "Home Bias and Local Contagion: Evidence from Funds of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4771-4810.
    50. 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).
    51. Algieri, Bernardina & Leccadito, Arturo, 2017. "Wave after Wave: Contagion Risk from Commodity Markets," Discussion Papers 257801, University of Bonn, Center for Development Research (ZEF).
    52. Castagneto-Gissey, G. & Nivorozhkin, E., 2016. "No contagion from Russia toward global equity markets after the 2014 international sanctions," Economic Analysis and Policy, Elsevier, vol. 52(C), pages 79-98.
    53. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market," Energy Economics, Elsevier, vol. 84(C).
    54. Mastroeni, Loretta & Vellucci, Pierluigi & Naldi, Maurizio, 2018. "Co-existence of stochastic and chaotic behaviour in the copper price time series," Resources Policy, Elsevier, vol. 58(C), pages 295-302.
    55. Bolos, Bradut & Bacarea, Vladimir & Marusteri, Marius, 2011. "Approaching Economic Issues through Epidemiology–An Introduction to Business Epidemiology," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 257-276, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    2. Olatunji Abdul Shobande & Joseph Onuche Enemona, 2021. "A Multivariate VAR Model for Evaluating Sustainable Finance and Natural Resource Curse in West Africa: Evidence from Nigeria and Ghana," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    3. Zhao, Wandi & Gao, Yang, 2023. "Network connectedness and the contagion structure of informed trading: Evidence from the time and frequency domains," International Review of Financial Analysis, Elsevier, vol. 90(C).
    4. Xiaoyang Chen & Liguo Zhou & Lin Wang & Yuelong Zheng, 2023. "Risk spillover in China’s real estate industry chain: a DCC-EGARCH-ΔCoVaR model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rahman, Md Lutfur & Troster, Victor & Uddin, Gazi Salah & Yahya, Muhammad, 2022. "Systemic risk contribution of banks and non-bank financial institutions across frequencies: The Australian experience," International Review of Financial Analysis, Elsevier, vol. 79(C).
    2. Christina Bui, 2018. "Bank Regulation and Financial Stability," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2018, January-A.
    3. Johnson A. Oliyide & Oluwasegun B. Adekoya & Muhammad A. Khan, 2021. "Economic policy uncertainty and the volatility connectedness between oil shocks and metal market: An extension," International Economics, CEPII research center, issue 167, pages 136-150.
    4. Gravelle, Toni & Kichian, Maral & Morley, James, 2006. "Detecting shift-contagion in currency and bond markets," Journal of International Economics, Elsevier, vol. 68(2), pages 409-423, March.
    5. Dungey, Mardi & Luciani, Matteo & Veredas, David, 2018. "Systemic risk in the US: Interconnectedness as a circuit breaker," Economic Modelling, Elsevier, vol. 71(C), pages 305-315.
    6. John V. Winters & Zhengyu Cai & Karen Maguire & Shruti Sengupta, 2021. "Causal effects of the fracking boom on long‐term resident workers," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 387-406, March.
    7. Onur Sapci, 2022. "The Impact of Shale Energy on Population Dynamics, Labor Migration, and Employment," Energies, MDPI, vol. 15(22), pages 1-17, November.
    8. Bui, Christina & Scheule, Harald & Wu, Eliza, 2017. "The value of bank capital buffers in maintaining financial system resilience," Journal of Financial Stability, Elsevier, vol. 33(C), pages 23-40.
    9. López-Espinosa, Germán & Moreno, Antonio & Rubia, Antonio & Valderrama, Laura, 2017. "Sovereign tail risk," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 174-188.
    10. Escribano, Ana & Koczar, Monika W. & Jareño, Francisco & Esparcia, Carlos, 2023. "Shock transmission between crude oil prices and stock markets," Resources Policy, Elsevier, vol. 83(C).
    11. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    12. Abuzayed, Bana & Al-Fayoumi, Nedal, 2021. "Risk spillover from crude oil prices to GCC stock market returns: New evidence during the COVID-19 outbreak," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    13. Zhu, Lin & Liao, Hua & Burke, Paul J., 2023. "Household fuel transitions have substantially contributed to child mortality reductions in China," World Development, Elsevier, vol. 164(C).
    14. Rehman, Mobeen Ur & Ahmad, Nasir & Vo, Xuan Vinh, 2022. "Asymmetric multifractal behaviour and network connectedness between socially responsible stocks and international oil before and during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    15. Dou, Yue & Li, Yiying & Dong, Kangyin & Ren, Xiaohang, 2022. "Dynamic linkages between economic policy uncertainty and the carbon futures market: Does Covid-19 pandemic matter?," Resources Policy, Elsevier, vol. 75(C).
    16. Chang, Carolyn W. & Li, Xiaodan & Lin, Edward M.H. & Yu, Min-Teh, 2018. "Systemic risk, interconnectedness, and non-core activities in Taiwan insurance industry," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 273-284.
    17. Zhang, Hua & Chen, Jinyu & Shao, Liuguo, 2021. "Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19," International Review of Financial Analysis, Elsevier, vol. 77(C).
    18. Winters, John V. & Cai, Zhengyu & Maguire, Karen & Sengupta, Shruti, 2019. "Do Workers Benefit from Resource Booms in Their Home State? Evidence from the Fracking Era," GLO Discussion Paper Series 400, Global Labor Organization (GLO).
    19. Bettendorf, Timo & Heinlein, Reinhold, 2019. "Connectedness between G10 currencies: Searching for the causal structure," Discussion Papers 06/2019, Deutsche Bundesbank.
    20. Alameer, Zakaria & Elaziz, Mohamed Abd & Ewees, Ahmed A. & Ye, Haiwang & Jianhua, Zhang, 2019. "Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm," Resources Policy, Elsevier, vol. 61(C), pages 250-260.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:70:y:2021:i:c:s0301420720309934. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.