Comovement between the Stock Markets and Commodity Market
DOI:
https://doi.org/10.22555/ijelcs.v9i2.1164Keywords:
Comovement, stock market, commodity market, G7, BRICS, wavelet coherenceAbstract
The study extends the literature by investigating the comovement between the stock markets and commodity market of developed and emerging countries. Developed countries are represented by G7 countries while the emerging countries are represented by BRICS countries. Further, for the commodity market, the Global S&P GSCI commodity index is used that comprised of all major global commodities. The daily log returns of all the markets are used for analysis. Further, the wavelet coherence model is used to investigate the comovement between the stock markets and commodity market. The results show that the comovement between the stock markets of all the countries is increases over time particularly at the larger frequency scales. The comovement is higher during the crisis periods like the global financial crisis and COVID-19. Generally, the comovement in the context of developed countries is higher compared to the comovement in the context of emerging countries.
References
Abul, B., Haug, A., & Sadorsky, P. (2012). “Oil prices, exchange rates and emerging stock markets. Energy Economics, 34(1), 227-240. https://doi.org/10.1016/j.eneco.2011.10.005
Adekoya, O. B., & Oliyide, J. A. (2021). How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques. Resources Policy, 70, 101898. https://doi.org/10.1016/j.resourpol.2020.101898
Agyei, S. K., & Bossman, A. (2023). Exploring the dynamic connectedness between commodities and African equities. Cogent Economics & Finance, 11(1), 2186035. https://doi.org/10.1080/23322039.2023.2186035
Ahmadi, M., Behmiri, N. B., & Manera, M. (2016). How is volatility in commodity markets linked to oil price shocks? Energy Economics, 59, 11-23. https://doi.org/10.1016/j.eneco.2016.06.005
Ali, S., Bouri, E., Czudaj, R. L., & Shahzad, S. J. H. (2020). Revisiting the valuable roles of commodities for international stock markets. Resources Policy, 66, 101603. https://doi.org/10.1016/j.resourpol.2020.101603
Amoako, G. K., Asafo-Adjei, E., Mintah Oware, K., & Adam, A. M. (2022). Do volatilities matter in the interconnectedness between world energy commodities and stock markets of BRICS? Discrete Dynamics in Nature and Society,(1), 1030567. https://doi.org/10.1155/2022/1030567
Apergis, N., Chatziantoniou, I., & Gabauer, D. (2023). Dynamic connectedness between COVID-19 news sentiment, capital, and commodity markets. Applied Economics, 55(24), 2740–2754. https://doi.org/10.1080/00036846.2023.2171723
Arndt, H. (1979). Indonesia and the price of oil: The macroeconomic policy issues. Indonesia Circle, 7(20), 4-10. https://doi.org/10.1080/03062847908729482
Azzutti, A., Ringe, W.-G., & Stiehl, H. S. (2023). Regulating AI trading from an AI lifecycle perspective. In Artificial Intelligence in Finance (198-242). Edward Elgar Publishing. https://doi.org/10.4337/9781800883367.00017
Basher, S. A., & Sadorsky, P. (2006). Oil price risk and emerging stock markets. Global Finance Journal, 17(2), 224-251. https://doi.org/10.1016/j.gfj.2006.04.002
Billah, M., Balli, F., & Hoxha, I. (2023). Extreme connectedness of agri-commodities with stock markets and its determinants. Global Finance Journal, 56, 100824. https://doi.org/10.1016/j.gfj.2023.100824
Bodie, Z. (1983). Commodity futures as a hedge against inflation. The Journal of Portfolio Management, 9(3), 12-17. https://doi.org/10.3905/jpm.1983.408987
Boyrie, M. E., & Pavlova, I. (2018). Equities and commodities comovements: Evidence from emerging markets. Global Economy Journal, 18(3), 20170075. https://doi.org/10.1515/gej-2017-0075
Chang, C.-L., & Fang, M. (2022). The connectedness between natural resource commodities and stock market indices: Evidence from the Chinese economy. Resources Policy, 78, 102841. https://doi.org/10.1016/j.resourpol.2022.102841
Cheng, I.-H., & Xiong, W. (2014). Financialization of commodity markets. Annual Review of Financial Economics, 6(1), 419-441. https://doi.org/10.1146/annurev-financial-110613-034357
Cheng, K., & Young, D. S. (2023). An approach for specifying trimming and Winsorization cutoffs. Journal of Agricultural, Biological and Environmental Statistics, 28(2), 299-323. https://doi.org/10.1007/s13253-023-00527-4
Cong, R.-G., Wei, Y.-M., Jiao, J.-L., & Fan, Y. (2008). Relationships between oil price shocks and stock market: An empirical analysis from China. Energy Policy, 36(9), 3544-3553. https://doi.org/10.1016/j.enpol.2008.06.006
Creti, A., Joëts, M., & Mignon, V. (2013). On the links between stock and commodity markets' volatility. Energy Economics, 37, 16-28. https://doi.org/10.1016/j.eneco.2013.01.005
Dejung, C., & Cohen, P. (2018). Commodity trading, globalization and the colonial world: Spinning the web of the global market. Routledge. https://doi.org/10.4324/9781315646831
Demirer, R., Lee, H.-T., & Lien, D. (2015). Does the stock market drive herd behavior in commodity futures markets? International Review of Financial Analysis, 39, 32-44. https://doi.org/10.1016/j.irfa.2015.02.002
Ding, Z., & Zhang, X. (2021). The impact of geopolitical risk on systemic risk spillover in commodity market: An EMD-based network topology approach. Complexity,(1), 2226944. https://doi.org/10.1155/2021/2226944
Farid, S., Naeem, M. A., Paltrinieri, A., & Nepal, R. (2022). Impact of COVID-19 on the quantile connectedness between energy, metals, and agriculture commodities. Energy Economics, 109, 105962. https://doi.org/10.1016/j.eneco.2022.105962
Ferrer, R., Shahzad, S. J. H., López, R., & Jareño, F. (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76, 1-20. https://doi.org/10.1016/j.eneco.2018.09.022
Geman, H. (2005). Commodities and commodity derivatives: Modeling and pricing for agriculturals, metals, and energy (302). John Wiley & Sons. https://download.e-bookshelf.de
Gorton, G., & Rouwenhorst, K. G. (2006). Facts and fantasies about commodity futures. Financial Analysts Journal, 62(2), 47-68. https://doi.org/10.2469/faj.v62.n2.4083
Huy, D. T. N., Nhan, V. K., Bich, N. T. N., Hong, N. T. P., Chung, N. T., & Huy, P. Q. (2021). Impacts of internal and external macroeconomic factors on firm stock price in an expansion econometric model—a case in Vietnam real estate industry. Data Science for Financial Econometrics, 189-205. https://doi.org/10.1007/978-3-030-81391-1_12
Iqbal, N., Naeem, M. A., Karim, S., & Haseeb, M. (2024). Crash risk connectedness in commodity markets. The European Journal of Finance, 30(11), 1270–1294. https://doi.org/10.1080/1351847X.2024.2074691
Jhunjhunwala, S., & Suresh, S. (2024). Commodity and stock market interlinkages: Opportunities and challenges for investors in Indian market. Global Business Review, 25(2/l), 42–S58. https://doi.org/10.1177/0972150920946413
Ji, Q., Bouri, E., & Roubaud, D. (2018). Dynamic network of implied volatility transmission among US equities, strategic commodities, and BRICS equities. International Review of Financial Analysis, 57, 1-12. https://doi.org/10.1016/j.irfa.2018.02.002
Jones, C. M., & Kaul, G. (1996). Oil and the stock markets. The Journal of Finance, 51(2), 463-491. https://doi.org/10.1111/j.1540-6261.1996.tb02691.x
Kauffman, R. J., Liu, J., & Ma, D. (2015). Innovations in financial IS and technology ecosystems: High-frequency trading in the equity market. Technological Forecasting and Social Change, 99, 339-354. https://doi.org/10.1016/j.techfore.2015.06.012
Kaur, H., & Chaudhary, A. (2024). Volatility transmission role of Indian equity and commodity markets. In Deep learning tools for predicting stock market movements (429–443). Wiley. https://doi.org/10.1002/9781394214303.ch18
Khan, I. (2023). An analysis of stock markets integration and dynamics of volatility spillover in emerging nations. Journal of Economic and Administrative Sciences. Advance online publication. https://doi.org/10.1108/jeas-10-2022-0236
Kumar, S., Jain, R., Balli, F., & Billah, M. (2023). Interconnectivity and investment strategies among commodity prices, cryptocurrencies, and G-20 capital markets: A comparative analysis during COVID-19 and Russian-Ukraine war. International Review of Economics & Finance, 88, 547-593
Li, X., Li, B., Wei, G., Bai, L., Wei, Y., & Liang, C. (2021). Return connectedness among commodity and financial assets during the COVID-19 pandemic: Evidence from China and the US. Resources Policy, 73, 102166. https://doi.org/10.1016/j.resourpol.2021.102166
Lou, Y., Xiao, C., & Lian, Y. (2024). Dynamic asymmetric spillovers and connectedness between Chinese sectoral commodities and industry stock markets. Plos One, 19(1), e0296501. https://doi.org/10.1371/journal.pone.0296501
Lu, X., He, P., Zhang, Z., Apergis, N., & Roubaud, D. (2024). Extreme co-movements between decomposed oil price shocks and sustainable investments. Energy Economics, 134, 107580. https://doi.org/10.1016/j.eneco.2023.107580
Markham, J. W., & Gilberg, D. J. (1982). Stock and commodity options—Two regulatory approaches and their conflicts. Albany Law Review, 47, 741-779. https://heinonline.org/HOL/LandingPage
Mensi, W., Beljid, M., Boubaker, A., & Managi, S. (2013). Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold. Economic Modelling, 32, 15-22. https://doi.org/10.1016/j.econmod.2013.01.023
Mensi, W., Hammoudeh, S., & Kang, S. H. (2015). Precious metals, cereal, oil and stock market linkages and portfolio risk management: Evidence from Saudi Arabia. Economic Modelling, 51, 340-358. https://doi.org/10.1016/j.econmod.2015.08.007
Mezghani, T., Ben Hamadou, F., & Boujelbène Abbes, M. (2021). The dynamic network connectedness and hedging strategies across stock markets and commodities: COVID-19 pandemic effect. Asia-Pacific Journal of Business Administration, 13(4), 520–552. https://doi.org/10.1108/APJBA-03-2021-0114
Mezghani, T., Ben Hamadou, F., & Boujelbène-Abbes, M. (2023). Network connectedness and portfolio hedging of green bonds, stock markets, and commodities. International Journal of Emerging Markets, 18(7), Advance online publication. https://doi.org/10.1108/IJOEM-02-2023-0160
Mishra, A. K., Arunachalam, V., Olson, D., & Patnaik, D. (2023). Dynamic connectedness in commodity futures markets during COVID-19 in India: New evidence from a TVP-VAR extended joint connectedness approach. Resources Policy, 82, 103490. https://doi.org/10.1016/j.resourpol.2023.103490
Nasreen, S., Tiwari, A. K., Eizaguirre, J. C., & Wohar, M. E. (2020). Dynamic connectedness between oil prices and stock returns of clean energy and technology companies. Journal of Cleaner Production, 260, 121015. https://doi.org/10.1016/j.jclepro.2020.121015
Obstfeld, M., & Taylor, A. M. (2003). Globalization and capital markets. In Globalization in Historical Perspective (121-188). University of Chicago Press. https://doi.org/10.7208/chicago/9780226185074.003.0004
Ozkan, O., Saleem, A., Khan, N., & Alola, A. A. (2024). Global impact of geopolitical oil price uncertainty and associated commodity prices on clean energy stocks. Energy & Environment, 35(1), 1-21. https://doi.org/10.1177/0958305X231225303
Park, J., & Ratti, R. A. (2008). Oil price shocks and stock markets in the US and 13 European countries. Energy Economics, 30(5), 2587-2608. https://doi.org/10.1016/j.eneco.2008.02.003
Pindyck, R. S. (1983). Risk, inflation, and the stock market. National Bureau of Economic Research. https://doi.org/10.3386/w1186
Qin, J., Cong, X., Ma, D., & Rong, X. (2024). Dynamic quantile connectedness between oil and stock markets: The impact of the interest rate. Energy Economics, 136, 107741. https://doi.org/10.1016/j.eneco.2024.107741
Roll, R. (1988). The international crash of October 1987. Financial Analysts Journal, 44(5), 19-35. https://doi.org/10.2469/faj.v44.n5.19
Sadorsky, P. (2012). Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies. Energy Economics, 34(1), 248-255. https://doi.org/10.1016/j.eneco.2011.03.006
Sampurna, D. S., & Maronrong, R. (2019). The effect of the commodity price on sharia stock markets volatility in developed and developing countries. 5th Annual International Conference on Management Research (AICMaR 2018), 109-116. https://doi.org/10.2991/aicmar-18.2019.28
Sargent, J. (1976). The macroeconomic effects of the higher oil price. In Resource Allocation and Economic Policy (121-135). Springer. https://doi.org/10.1007/978-1-349-02651-3_6
Shah, A. A., & Dar, A. B. (2021). Exploring diversification opportunities across commodities and financial markets: Evidence from time-frequency-based spillovers. Resources Policy, 74, 102317. https://doi.org/10.1016/j.resourpol.2021.102317
Sheikh, U. A., Asad, M., Ahmed, Z., & Mukhtar, U. (2020). Asymmetrical relationship between oil prices, gold prices, exchange rate, and stock prices during global financial crisis 2008: Evidence from Pakistan. Cogent Economics & Finance, 8(1), 1757802. https://doi.org/10.1080/23322039.2020.1757802
Siegel, J. J. (2021). Stocks for the long run: The definitive guide to financial market returns & long-term investment strategies. McGraw-Hill Education. http://dspace.vnbrims.org
Stoupos, N., & Kiohos, A. (2021). Energy commodities and advanced stock markets: A post-crisis approach. Resources Policy, 70, 101887. https://doi.org/10.1016/j.resourpol.2020.101887
Urom, C., Ndubuisi, G., & Ozor, J. (2021). Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes. International Economics, 165, 51-66. https://doi.org/10.1016/j.inteco.2021.03.005
Urom, C., Ndubuisi, G., Del Lo, G., & Yuni, D. (2023). Global commodity and equity markets spillovers to Africa during the COVID-19 pandemic. Emerging Markets Review, 55, 100948. https://doi.org/10.1016/j.ememar.2022.100948
Van Duyne, C. (1979). The macroeconomic effects of commodity market disruptions in open economies. Journal of International Economics, 9(4), 559-582. https://doi.org/10.1016/0022-1996(79)90016-0
Woode, J. K., Idun, A. A. A., & Kawor, S. (2024). Comovement between agricultural commodities and stock returns of commodity-dependent sub-Saharan Africa countries amidst the COVID-19 pandemic. Scientific African, 23, e01972. https://doi.org/10.1016/j.sciaf.2023.e01972
Zghal, R., Melki, A., & Ghorbel, A. (2024). Do commodities hedge regional stock markets at the same effectiveness level? Evidence from MGARCH models”. International Journal of Emerging Markets, 19(5), 1359–1384. https://doi.org/10.1108/IJOEM-09-2021-1420






