Exploring the dynamic connectedness between commodities and African equities

References

• Adam, A. M. (2020). Susceptibility of stock market returns to international economic policy: Evidence from effective transfer entropy of Africa with the implication for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 71. https://doi.org/10.3390/joitmc6030071
   Google Scholar
• Adekoya, O. B., & Oliyide, J. A. (2021a). How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques. Resources Policy, 70(October). https://doi.org/10.1016/j.resourpol.2020.101898
   PubMedGoogle Scholar
• Adekoya, O. B., & Oliyide, J. A. (2021b). 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
   PubMed Web of Science ®Google Scholar
• Agyei, S. K. . (2022). Diversification benefits between stock returns from Ghana and Jamaica: Insights from time-frequency and VMD-based asymmetric quantile-on-quantile analysis. Mathematical Problems in Engineering, (2022, 1–39. https://doi.org/10.1155/2022/9375170
   Web of Science ®Google Scholar
• Agyei, S. K., Isshaq, Z., Frimpong, S., Adam, A. M., Bossman, A., & Asiamah, O. (2021). COVID-19 and food prices in sub-Saharan Africa. African Development Review, 33(S1), S102–S113. https://doi.org/10.1111/1467-8268.12525
   PubMedGoogle Scholar
• Agyei, S. K., Owusu Junior, P., Bossman, A., Asafo-Adjei, E., Asiamah, O., Adam, A. M., Owusu Junior, P., Bossman, A., Asafo-Adjei, E., Asiamah, O., & Adam, A. M. (2022). Spillovers and contagion between BRIC and G7 markets: New evidence from time-frequency analysis. PLoS ONE, 17(7), e0271088. https://doi.org/10.1371/journal.pone.0271088
   PubMed Web of Science ®Google Scholar
• Aharon, D. Y., Umar, Z., & Vo, X. V. (2021). Dynamic spillovers between the term structure of interest rates, bitcoin, and safe‑haven currencies. Financial Innovation, 7(59), 1–25. https://doi.org/10.1186/s40854-021-00274-w
   Google Scholar
• Akhtaruzzaman, M., Boubaker, S., & Umar, Z. (2022). COVID-19 media coverage and ESG leader indices. Finance Research Letters, 45, 102170. https://doi.org/10.1016/j.frl.2021.102170
   PubMed Web of Science ®Google Scholar
• Alagidede, I. P., Boako, G., & Sjo, B. (2021). African equity markets’ exposure to oil and other commodities - implications for global portfolio diversification. Journal of Economics and Finance, 45(2), 288–315. https://doi.org/10.1007/s12197-020-09527-3
   Google Scholar
• Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84. https://doi.org/10.3390/jrfm13040084
   Web of Science ®Google Scholar
• Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2021). The impact of Euro through time: Exchange rate dynamics under different regimes. International Journal of Finance and Economics, 26(1), 1375–1408. https://doi.org/10.1002/ijfe.1854
   Web of Science ®Google Scholar
• Anyikwa, I., & Le Roux, P. (2020). Integration of African stock markets with the developed stock markets: An analysis of co-movements, volatility and contagion. International Economic Journal, 34(2), 279–296. https://doi.org/10.1080/10168737.2020.1755715
   Google Scholar
• Armah, M., Amewu, G., & Bossman, A. (2022). Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches. Cogent Economics & Finance, 10(1), 2114161. https://doi.org/10.1080/23322039.2022.2114161
   Web of Science ®Google Scholar
• Asafo-Adjei, E., Adam, A. M., & Darkwa, P. (2021). Can crude oil price returns drive stock returns of oil producing countries in Africa? Evidence from bivariate and multiple wavelet. Macroeconomics and Finance in Emerging Market Economies, 1–19. https://doi.org/10.1080/17520843.2021.1953864
   Google Scholar
• Asafo-Adjei, E., Agyapong, D., Agyei, S. K., Frimpong, S., Djimatey, R., Adam, A. M., & Ma, J. (2020). Economic policy uncertainty and stock returns of Africa: A wavelet coherence analysis. Discrete Dynamics in Nature and Society, (2020, 1–8. https://doi.org/10.1155/2020/8846507
   Web of Science ®Google Scholar
• Asafo-Adjei, E., Bossman, A., Boateng, E., Owusu Junior, P., Idun, A. A., Agyei, S. K., Adam, A. M., & Li, Y. (2022). A nonlinear approach to quantifying investor fear in stock markets of BRIC. Mathematical Problems in Engineering, 2022, 1–20. https://doi.org/10.1155/2022/9296973
   Web of Science ®Google Scholar
• Asafo-Adjei, E., Owusu Junior, P., Adam, A. M., & Ferreira, P. J. S. (2021). Information flow between global equities and cryptocurrencies: A VMD-based entropy evaluating shocks from COVID-19 pandemic. Complexity, 2021(2021), 1–25. https://doi.org/10.1155/2021/4753753
   Google Scholar
• Assifuah-Nunoo, E., Owusu Junior, P., Adam, A. M., & Bossman, A. (2022). Assessing the safe haven properties of oil in African stock markets amid the COVID-19 pandemic: A quantile regression analysis. Quantitative Finance and Economics, 6(2), 244–269. https://doi.org/10.3934/QFE.2022011
   Web of Science ®Google Scholar
• Bartram, S. M., & Dufey, G. (2001). International portfolio investment: Theory, evidence, and institutional framework. Financial Markets, Institutions & Instruments, 10(3), 85–155. https://doi.org/10.1111/1468-0416.00043
   Google Scholar
• Baruník, J., & Křehlík, T. (2018). Measuring the frequency dynamics of financial connectedness and systemic risk. Journal of Financial Econometrics, 16(2), 271–296. https://doi.org/10.1093/jjfinec/nby001
   Web of Science ®Google Scholar
• Baur, D. G., & Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217–229. https://doi.org/10.1111/j.1540-6288.2010.00244.x
   Google Scholar
• Ben, H. H., Mezghani, I., & Al Dohaiman, M. (2020). Common shocks, common transmission mechanisms and time-varying connectedness among Dow Jones islamic stock market indices and global risk factors. Economic Systems, 44(2), 100760. https://doi.org/10.1016/j.ecosys.2020.100760
   Web of Science ®Google Scholar
• Boako, G., & Alagidede, P. (2016). Global commodities and African stocks: A “market of one?”. International Review of Financial Analysis, 44, 226–237. https://doi.org/10.1016/j.irfa.2016.02.009
   Web of Science ®Google Scholar
• Boako, G., & Alagidede, P. (2017). Co-movement of Africa’s equity markets: Regional and global analysis in the frequency–time domains. Physica A: Statistical Mechanics and Its Applications, 468, 359–380. https://doi.org/10.1016/j.physa.2016.10.088
   Web of Science ®Google Scholar
• Boako, G., & Alagidede, I. P. (2021). Commodities price cycles and their interdependence with equity markets (No. 457; African Economic Research Consortium).
   Google Scholar
• Boako, G., Alagidede, I. P., Sjo, B., & Uddin, G. S. (2020). Commodities price cycles and their interdependence with equity markets. Energy Economics, 91, 104884. https://doi.org/10.1016/j.eneco.2020.104884
   Web of Science ®Google Scholar
• Boateng, E., Adam, A. M., & Owusu Junior, P. (2021). Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic. Resources Policy, 74, 102389. https://doi.org/10.1016/j.resourpol.2021.102389
   PubMed Web of Science ®Google Scholar
• Bossman, A. . (2021). Information flow from COVID-19 pandemic to Islamic and conventional equities: An ICEEMDAN-induced transfer entropy analysis. Complexity, (2021, 1–20. https://doi.org/10.1155/2021/4917051
   Web of Science ®Google Scholar
• Bossman, A., Adam, A. M., Owusu Junior, P., & Agyei, S. K. (2022). Assessing interdependence and contagion effects on the bond yield and stock returns nexus in Sub-Saharan Africa: Evidence from wavelet analysis. Scientific African, 16, e01232. https://doi.org/10.1016/j.sciaf.2022.e01232
   Google Scholar
• Bossman, A., Agyei, S. K. . (2022a). ICEEMDAN-based transfer entropy between global commodity classes and African equities. Mathematical Problems in Engineering, (2022a, 1–28. https://doi.org/10.1155/2022/8964989
   Google Scholar
• Bossman, A., & Agyei, S. K. (2022b). Interdependence structure of global commodity classes and African equity markets: A vector wavelet coherence analysis. Resources Policy, 79(December), 103039. https://doi.org/10.1016/j.resourpol.2022.103039
   Google Scholar
• Bossman, A., Agyei, S. K., Owusu Junior, P., Agyei, E. A., Akorsu, P. K., Marfo-Yiadom, E., & Amfo-Antiri, G. (2022). Flights-to-and-from-quality with islamic and conventional bonds in the COVID-19 pandemic era: ICEEMDAN-based transfer entropy. Complexity, (2022, 1–25. https://doi.org/10.1155/2022/1027495
   Web of Science ®Google Scholar
• Bossman, A., Gubareva, M., & Teplova, T. (2023). Asymmetric effects of geopolitical risk on major currencies: Russia-Ukraine tensions. Finance Research Letters, 51, 103440. https://doi.org/10.1016/j.frl.2022.103440
   Web of Science ®Google Scholar
• Bossman, A., Owusu Junior, P., & Tiwari, A. K. (2022). Dynamic connectedness and spillovers between Islamic and conventional stock markets: Time- and frequency-domain approach in COVID-19 era. Heliyon, 8(4), e09215. https://doi.org/10.1016/J.HELIYON.2022.E09215
   PubMed Web of Science ®Google Scholar
• Bossman, A., Teplova, T., & Umar, Z. (2022). Do local and world COVID-19 media coverage drive stock markets? Time-frequency analysis of BRICS. Complexity, (2022, 2249581. https://doi.org/10.1155/2022/2249581
   Web of Science ®Google Scholar
• Bossman, A., Umar, Z., Agyei, S. K., & Teplova, T. (2023). The impact of the US yield curve on sub-Saharan African equities. Finance Research Letters, 103636. https://doi.org/10.1016/j.frl.2023.103636
   Web of Science ®Google Scholar
• Bossman, A., Umar, Z., & Teplova, T. (2022). Modelling the asymmetric effect of COVID-19 on REIT returns: A quantile-on-quantile regression analysis. The Journal of Economic Asymmetries, 26, e00257. https://doi.org/10.1016/J.JECA.2022.E00257
   PubMedGoogle Scholar
• Bouri, E., Cepni, O., Gabauer, D., & Gupta, R. (2020). Return connectedness across asset classes around the COVID-19 outbreak. International Review of Financial Analysis, November, 101646. https://doi.org/10.1016/j.irfa.2020.101646
   Google Scholar
• Bouri, E., Lei, X., Jalkh, N., Xu, Y., & Zhang, H. (2021). Spillovers in higher moments and jumps across US stock and strategic commodity markets. Resources Policy, 72(February), 102060. https://doi.org/10.1016/j.resourpol.2021.102060
   Google Scholar
• Bouri, E., Lucey, B., Saeed, T., & Vo, X. V. (2021). The realized volatility of commodity futures: Interconnectedness and determinants. International Review of Economics and Finance, 73(December2020), 139–151. https://doi.org/10.1016/j.iref.2021.01.006
   Google Scholar
• Bouri, E., Shahzad, S. J. H., Roubaud, D., Kristoufek, L., & Lucey, B. (2020). Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. The Quarterly Review of Economics and Finance, 77, 156–164. https://doi.org/10.1016/j.qref.2020.03.004
   Web of Science ®Google Scholar
• Caporin, M., Naeem, M. A., Arif, M., Hasan, M., Vo, X. V., & Hussain Shahzad, S. J. (2021). Asymmetric and time-frequency spillovers among commodities using high-frequency data. Resources Policy, 70(December2020), 101958. https://doi.org/10.1016/j.resourpol.2020.101958
   Google Scholar
• David, J. E. (2016). Brexit costs investors $2 trillion, the worst one-day drop ever – British pound sterling falls below Friday’s 31-year low amid uncertainty. https://desdemonadespair.net/2016/06/brexit-costs-investors-2-trillion-wors.html
   Google Scholar
• Diebold, F. X., Liu, L., & Yilmaz, K. (2017). Commodity connectedness. In NBER Working Paper Series ( No. 23685; Vol. 23685). National Bureau of Economic Research. http://www.nber.org/papers/w23685
   Google Scholar
• Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119–134. https://doi.org/10.1016/J.JECONOM.2014.04.012
   Web of Science ®Google Scholar
• Enwereuzoh, P. A., Odei-Mensah, J., & Owusu Junior, P. (2021). Crude oil shocks and African stock markets. Research in International Business and Finance, 55, 101346. https://doi.org/10.1016/j.ribaf.2020.101346
   Web of Science ®Google Scholar
• Fassas, A. P. (2020). Risk aversion connectedness in developed and emerging equity markets before and after the COVID-19 pandemic. Heliyon, 6(12), e05715. https://doi.org/10.1016/j.heliyon.2020.e05715
   PubMed Web of Science ®Google Scholar
• Ferreira, P., Almeida, D., Dionísio, A., Bouri, E., & Quintino, D. (2022). Energy markets – Who are the influencers? Energy, 239, 121962. https://doi.org/10.1016/j.energy.2021.121962
   Web of Science ®Google Scholar
• Fokuo, I. K., & Ochieng, A. (2020, February 18). Up and coming: Here’s why Africa has the potential to boost global growth. World Economic Forum. https://www.weforum.org/agenda/2020/02/how-emerging-markets-will-shape-africa-in-2020/
   Google Scholar
• Forbes, K. J., & Rigobon, R. (2001). Measuring contagion: Conceptual and empirical issues. In International Financial Contagion (pp. 43–66). Springer US. https://doi.org/10.1007/978-1-4757-3314-3_3
   Google Scholar
• Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. The Journal of Finance, 57(5), 2223–2261. https://doi.org/10.1111/0022-1082.00494
   Web of Science ®Google Scholar
• Hazgui, S., Sebai, S., & Mensi, W. (2021). Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index. Studies in Economics and Finance. https://doi.org/10.1108/SEF-05-2021-0165
   Web of Science ®Google Scholar
• Hu, C., Li, Z., & Liu, X. (2020). Liquidity shocks, commodity financialization, and market comovements. Journal of Futures Markets, 40(9), 1315–1336. https://doi.org/10.1002/FUT.22127
   Web of Science ®Google Scholar
• Hung, N. T., & Vo, X. V. (2021). Directional spillover effects and time-frequency nexus between oil, gold and stock markets: Evidence from pre and during COVID-19 outbreak. International Review of Financial Analysis, 76, 101730. https://doi.org/10.1016/j.irfa.2021.101730
   PubMed Web of Science ®Google Scholar
• Idilbi-Bayaa, Y., & Qadan, M. (2021). Forecasting commodity prices using the term structure. Journal of Risk and Financial Management, 14(12), 585. https://doi.org/10.3390/JRFM14120585
   Web of Science ®Google Scholar
• Ijasan, K., Owusu Junior, P., Tweneboah, G., Oyedokun, T., & Adam, A. M. (2021). Analysing the relationship between global REITs and exchange rates: Fresh evidence from frequency-based quantile regressions. Advances in Decision Sciences, 25(3), 58–91. https://doi.org/10.47654/V25Y2021I3P58-91
   Google Scholar
• Iqbal, N., Bouri, E., Grebinevych, O., & Roubaud, D. (2022). Modelling extreme risk spillovers in the commodity markets around crisis periods including COVID19. Annals of Operations Research, 10479. https://doi.org/10.1007/s10479-022-04522-9
   Web of Science ®Google Scholar
• Islam, R., & Volkov, V. (2021). Contagion or interdependence? Comparing spillover indices. Empirical Economics, 63(3), 1403–1455. https://doi.org/10.1007/s00181-021-02169-2
   PubMed Web of Science ®Google Scholar
• Ji, Q., Zhang, D., & Zhao, Y. (2020). Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71, 101526. https://doi.org/10.1016/j.irfa.2020.101526
   PubMed Web of Science ®Google Scholar
• Kablan, S., Ftiti, Z., & Guesmi, K. (2017). Commodity price cycles and financial pressures in African commodities exporters. Emerging Markets Review, 30, 215–231. https://doi.org/10.1016/j.ememar.2016.05.005
   Web of Science ®Google Scholar
• Karanasos, M., Yfanti, S., & Hunter, J. (2021). Emerging stock market volatility and economic fundamentals: The importance of US uncertainty spillovers, financial and health crises. Annals of Operations Research, 1–40. https://doi.org/10.1007/S10479-021-04042-Y/TABLES/10
   Web of Science ®Google Scholar
• Karingi, S. (2021). Commodity markets in Africa to remain volatile amid COVID-19. https://www.telesurenglish.net/news/Commodity-Markets-In-Africa-To-Remain-Volatile-Amid-COVID-19-20211007-0004.html
   Google Scholar
• Kenourgios, D., Umar, Z., & Lemonidi, P. (2020). On the effect of credit rating announcements on sovereign bonds: International evidence. International Economics, 163(March), 58–71. https://doi.org/10.1016/j.inteco.2020.04.006
   Google Scholar
• Khalfaoui, R., Boutahar, M., & Boubaker, H. (2015). Analyzing volatility spillovers and hedging between oil and stock markets: Evidence from wavelet analysis. Energy Economics, 49, 540–549. https://doi.org/10.1016/J.ENECO.2015.03.023
   Web of Science ®Google Scholar
• Koop, G., & Korobilis, D. (2014). A new index of financial conditions. European Economic Review, 71, 101–116. https://doi.org/10.1016/J.EUROECOREV.2014.07.002
   Web of Science ®Google Scholar
• Kumar, A., Badhani, K. N., Bouri, E., & Saeed, T. (2021). Herding behavior in the commodity markets of the Asia-Pacific region. Finance Research Letters, 41, 101813. https://doi.org/10.1016/j.frl.2020.101813
   Web of Science ®Google Scholar
• Lo, A. W. (2004). The adaptive markets hypothesis. The Journal of Portfolio Management, 30(1), 15–29. https://doi.org/10.3905/jpm.2004.442611
   Web of Science ®Google Scholar
• Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.2307/2975974
   Web of Science ®Google Scholar
• Mensi, W., Al-Yahyaee, K. H., Vo, X. V., & Kang, S. H. (2021). Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications. Economic Analysis and Policy, 71, 397–419. https://doi.org/10.1016/j.eap.2021.06.001
   Web of Science ®Google Scholar
• 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-01-2021-0036
   Web of Science ®Google Scholar
• Müller, U. A., Dacorogna, M. M., Davé, R. D., Pictet, O. V., Olsen, R. B., & Ward, J. R. (1993). Fractals and intrinsic time: A challenge to econometricians. Unpublished Manuscript, Olsen & Associates, Zürich, 130. O&A Research Group.
   Google Scholar
• Naeem, M. A., Peng, Z., Bouri, E., Hussain Shahzad, S. J., & Karim, S. (2022). Examining the asymmetries between equity and commodity ETFs during COVID-19. Resources Policy, 79, 103048. https://doi.org/10.1016/j.resourpol.2022.103048
   Web of Science ®Google Scholar
• Ng, S. L., Chin, W. C., & Chong, L. L. (2020). Realized volatility transmission within Islamic stock markets: A multivariate HAR-GARCH-type with nearest neighbor truncation estimator. Borsa Istanbul Review, 20, S26–S39. https://doi.org/10.1016/j.bir.2020.10.001
   Web of Science ®Google Scholar
• Niu, H., & Hu, Z. (2021). Information transmission and entropy-based network between Chinese stock market and commodity futures market. Resources Policy, 74, 102294. https://doi.org/10.1016/J.RESOURPOL.2021.102294
   Web of Science ®Google Scholar
• Owusu Junior, P. (2020). Emerging financial markets: Spatial risks, elicitability of risk models, and shape shift contagion. University of the Witwatersrand.
   Google Scholar
• Owusu Junior, P., Agyei, S. K., Adam, A. M., & Bossman, A. (2022). Time-frequency connectedness between food commodities: New implications for portfolio diversification. Environmental Challenges, 9(December), 100623. https://doi.org/10.1016/j.envc.2022.100623
   Google Scholar
• Owusu Junior, P., Alagidede, I., & Tweneboah, G. (2020). Shape-shift contagion in emerging markets equities: Evidence from frequency-and time-domain analysis. Economics and Business Letters, 9(3), 146–156. https://doi.org/10.17811/ebl.9.3.2020.146-156
   Web of Science ®Google Scholar
• Owusu Junior, P., Frimpong, S., Adam, A. M., Agyei, S. K., Gyamfi, E. N., Agyapong, D., Tweneboah, G., & Li, Y. (2021). COVID-19 as information transmitter to global equity markets: Evidence from CEEMDAN-based transfer entropy approach. Mathematical Problems in Engineering, 2021, 1–19. https://doi.org/10.1155/2021/8258778
   Web of Science ®Google Scholar
• Rehman, M. U., & Vo, X. V. (2021). Energy commodities, precious metals and industrial metal markets: A nexus across different investment horizons and market conditions. Resources Policy, 70, 101843. https://doi.org/10.1016/J.RESOURPOL.2020.101843
   Web of Science ®Google Scholar
• Shadlen, K. C. (2005). Exchanging development for market access - Deep integration and industrial policy under multilateral and regional-bilateral trade agreements. Review of International Political Economy, 12(5), 750–775. https://doi.org/10.1080/09692290500339685
   Web of Science ®Google Scholar
• Shah, A. A., & Dar, A. B. (2022). Asymmetric, time and frequency-based spillover transmission in financial and commodity markets. The Journal of Economic Asymmetries, 25, e00241. https://doi.org/10.1016/J.JECA.2022.E00241
   Google Scholar
• Shahzad, S. J. H., Ferrer, R., Ballester, L., & Umar, Z. (2017). Risk transmission between Islamic and conventional stock markets: A return and volatility spillover analysis. International Review of Financial Analysis, 52, 9–26. https://doi.org/10.1016/j.irfa.2017.04.005
   Web of Science ®Google Scholar
• Suleman, M. T., McIver, R., & Kang, S. H. (2021). Asymmetric volatility connectedness between Islamic stock and commodity markets. Global Finance Journal, 49(June), 100653. https://doi.org/10.1016/j.gfj.2021.100653
   Google Scholar
• Swinnen, J., & McDermott, J. (2020). Covid-19 and global food security. EuroChoices, 19(3), 26–33. https://doi.org/10.1111/1746-692X.12288
   Web of Science ®Google Scholar
• Tiwari, A. K., Abakah, E. J. A., Gabauer, D., & Dwumfour, R. A. (2022). Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies. Global Finance Journal, 51, 100692. https://doi.org/10.1016/j.gfj.2021.100692
   PubMed Web of Science ®Google Scholar
• Tweneboah, G., Owusu Junior, P., & Oseifuah, E. K. (2019). Integration of major African stock markets: Evidence from multi-scale wavelets correlation. Academy of Accounting and Financial Studies Journal, 23(6), 1–15. https://www.researchgate.net/publication/340647142_INTEGRATION_OF_MAJOR_AFRICAN_STOCK_MARKETS_EVIDENCE_FROM_MULTI-SCALE_WAVELETS_CORRELATION
   Google Scholar
• Umar, Z., Aziz, S., & Tawil, D. (2021). The impact of COVID-19 induced panic on the return and volatility of precious metals. Journal of Behavioral and Experimental Finance, 31, 100525. https://doi.org/10.1016/j.jbef.2021.100525
   Web of Science ®Google Scholar
• Umar, Z., Bossman, A., Choi, S., & Teplova, T. (2022). Does geopolitical risk matter for global asset returns? Evidence from quantile-on-quantile regression. Finance Research Letters, 48(May), 102991. https://doi.org/10.1016/j.frl.2022.102991
   Web of Science ®Google Scholar
• Umar, Z., Bossman, A., Choi, S., & Vo, X. V. (2022). Are short stocks susceptible to geopolitical shocks? Time-frequency evidence from the Russian-Ukrainian conflict. Finance Research Letters, 103388. https://doi.org/10.1016/j.frl.2022.103388
   Web of Science ®Google Scholar
• Umar, Z., Gubareva, M., & Teplova, T. (2021). The impact of COVID-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels. Resources Policy, 73, 102164. https://doi.org/10.1016/j.resourpol.2021.102164
   PubMed Web of Science ®Google Scholar
• Umar, Z., Jareño, F., & Escribano, A. (2021). Dynamic return and volatility connectedness for dominant agricultural commodity markets during the COVID-19 pandemic era. Applied Economics, 1–25. https://doi.org/10.1080/00036846.2021.1973949
   Web of Science ®Google Scholar
• Umar, Z., Polat, O., Choi, S., & Teplova, T. (2022). The impact of the Russia-Ukraine conflict on the connectedness of financial markets. Finance Research Letters, 48(May), 102976. https://doi.org/10.1016/j.frl.2022.102976
   Web of Science ®Google Scholar
• Umar, Z., Riaz, Y., & Zaremba, A. (101999). (2021). Patterns of Spillover in Energy, Agricultural, and Metal Markets: A Connectedness Analysis for Years 1780-2020. Finance Research Letters, 43(March). https://doi.org/10.1016/j.frl.2021.101999
   Google Scholar
• Umar, Z., Yousaf, I., & Aharon, D. Y. (2021). The relationship between yield curve components and equity sectorial indices: Evidence from China. Pacific-Basin Finance Journal, 68(May), 101591. https://doi.org/10.1016/j.pacfin.2021.101591
   Google Scholar
• UNECA. (2021). Commodity markets in Africa to remain volatile amid COVID-19. TeleSUR World News. https://www.telesurenglish.net/news/Commodity-Markets-In-Africa-To-Remain-Volatile-Amid-COVID-19-20211007-0004.html
   Google Scholar
• Urom, C., Ndubuisi, G., Del Lo, G., & Yuni, D. (2022). Global commodity and equity markets spillovers to Africa during the COVID-19 pandemic. Emerging Markets Review, 100948. https://doi.org/10.1016/j.ememar.2022.100948
   Web of Science ®Google Scholar
• Wang, Y., Bouri, E., Fareed, Z., & Dai, Y. (2022). Geopolitical risk and the systemic risk in the commodity markets under the war in Ukraine. Finance Research Letters, 49, 103066. https://doi.org/10.1016/j.frl.2022.103066
   Web of Science ®Google Scholar
• Yin, L., Nie, J., & Han, L. (2021). Intermediary capital risk and commodity futures volatility. Journal of Futures Markets, 41(5), 577–640. https://doi.org/10.1002/fut.22185
   Web of Science ®Google Scholar
• Yousaf, I., Bouri, E., Ali, S., & Azoury, N. (2021). Gold against Asian stock markets during the COVID-19 outbreak. Journal of Risk and Financial Management, 14(4), 186. https://doi.org/10.3390/jrfm14040186
   Web of Science ®Google Scholar
• Zaremba, A., Umar, Z., & Mikutowski, M. (2021). Commodity financialisation and price co-movement: Lessons from two centuries of evidence. Finance Research Letters, 38(January2021), 101492. https://doi.org/10.1016/j.frl.2020.101492
   Google Scholar
• Zhu, H., Huang, R., Wang, N., & Hau, L. (2020). Does economic policy uncertainty matter for commodity market in China? Evidence from quantile regression. Applied Economics, 52(21), 2292–2308. https://doi.org/10.1080/00036846.2019.1688243/SUPPL_FILE/RAEC_A_1688243_SM5371.RAR
   Web of Science ®Google Scholar