Crash risk connectedness in commodity markets

References

• Aloui, R., M. S. B. Aïssa, S. Hammoudeh, and D. K. Nguyen. 2014. “Dependence and Extreme Dependence of Crude Oil and Natural Gas Prices with Applications to Risk Management.” Energy Economics 42:332–342. https://doi.org/10.1016/j.eneco.2013.12.005.
   Web of Science ®Google Scholar
• Anwer, Z., A. Khan, M. A. Naeem, and A. K. Tiwari. 2022. “Modelling Systemic Risk of Energy and Non-energy Commodity Markets During the COVID-19 Pandemic.” Annals of Operations Research, 1–35.
   PubMed Web of Science ®Google Scholar
• Balli, F., M. A. Naeem, and H. Ozer-Balli. 2022. “Spillovers from Tourism Demand to Tourism Equity Indices.” Tourism Economics 28 (8): 2228–2235. https://doi.org/10.1177/13548166211029419.
   Web of Science ®Google Scholar
• Balli, F., M. A. Naeem, S. J. H. Shahzad, and A. de Bruin. 2019. “Spillover Network of Commodity Uncertainties.” Energy Economics 81:914–927. https://doi.org/10.1016/j.eneco.2019.06.001.
   Web of Science ®Google Scholar
• Baruník, J., and E. Kocenda. 2019. “Total, Asymmetric and Frequency Connectedness between Oil and Forex Markets.” The Energy Journal 40 (Special Issue). https://doi.org/10.5547/01956574.40.SI2.jbar.
   Google Scholar
• Baruník, J., and T. Křehlík. 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
• Basak, S., and A. Pavlova. 2016. “A Model of Financialization of Commodities.” The Journal of Finance 71 (4): 1511–1556. https://doi.org/10.1111/jofi.12408.
   Web of Science ®Google Scholar
• Beckmann, J., and R. Czudaj. 2014. “Volatility Transmission in Agricultural Futures Markets.” Economic Modelling 36:541–546. https://doi.org/10.1016/j.econmod.2013.09.036.
   Web of Science ®Google Scholar
• Białkowski, J., and J. Koeman. 2018. “Does the Design of Spot Markets Matter for the Success of Futures Markets? Evidence from Dairy Futures.” Journal of Futures Markets 38 (3): 373–389. https://doi.org/10.1002/fut.21883.
   Web of Science ®Google Scholar
• Bouri, E., O. Cepni, D. Gabauer, and R. Gupta. 2021. “Return Connectedness across Asset Classes Around the COVID-19 Outbreak.” International Review of Financial Analysis 73:101646. https://doi.org/10.1016/j.irfa.2020.101646.
   Web of Science ®Google Scholar
• Bouri, E., N. Iqbal, and T. Klein. 2022. “Climate Policy Uncertainty and the Price Dynamics of Green and Brown Energy Stocks.” Finance Research Letters 47:102740. https://doi.org/10.1016/j.frl.2022.102740.
   Web of Science ®Google Scholar
• Bouri, E., X. Lei, Y. Xu, and H. Zhang. 2023. “Connectedness in Implied Higher-order Moments of Precious Metals and Energy Markets.” Energy 263:125588. https://doi.org/10.1016/j.energy.2022.125588.
   Web of Science ®Google Scholar
• Bouri, E., B. Lucey, T. Saeed, and X. V. Vo. 2021. “The Realized Volatility of Commodity Futures: Interconnectedness and Determinants.” International Review of Economics & Finance 73:139–151. https://doi.org/10.1016/j.iref.2021.01.006.
   Web of Science ®Google Scholar
• Bouri, E., T. Saeed, X. V. Vo, and D. Roubaud. 2021. “Quantile Connectedness in the Cryptocurrency Market.” Journal of International Financial Markets, Institutions and Money 71:101302. https://doi.org/10.1016/j.intfin.2021.101302.
   Web of Science ®Google Scholar
• Boyd, N. E., J. H. Harris, and B. Li. 2018. “An Update on Speculation and Financialization in Commodity Markets.” Journal of Commodity Markets 10:91–104. https://doi.org/10.1016/j.jcomm.2018.05.005.
   Web of Science ®Google Scholar
• B. P. Statistical Review of World Energy. 2020. BP 69th Edition. Available online: https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energyeconomics/statistical-review/bp-stats-review-2020-full-report.pdf
   Google Scholar
• Büyükşahin, B., and M. A. Robe. 2014. “Speculators, Commodities and Cross-market Linkages.” Journal of International Money and Finance 42:38–70. https://doi.org/10.1016/j.jimonfin.2013.08.004.
   Web of Science ®Google Scholar
• Caporin, M., M. A. Naeem, M. Arif, M. Hasan, X. V. Vo, and S. J. H. Shahzad. 2021. “Asymmetric and Time-frequency Spillovers among Commodities Using High-frequency Data.” Resources Policy 70:101958. https://doi.org/10.1016/j.resourpol.2020.101958.
   Web of Science ®Google Scholar
• Chen, J., H. Hong, and J. C. Stein. 2001. “Forecasting Crashes: Trading Volume, Past Returns, and Conditional Skewness in Stock Prices.” Journal of Financial Economics 61 (3): 345–381. https://doi.org/10.1016/S0304-405X(01)00066-6.
   Web of Science ®Google Scholar
• Chong, J., and J. Miffre. 2010. “Conditional Return Correlations between Commodity Futures and Traditional Assets.” Journal of Alternative Investments 12 (3): 61–75. https://doi.org/10.3905/JAI.2010.12.3.061.
   Google Scholar
• Corbet, S., J. W. Goodell, and S. Günay. 2020. “Co-movements and Spillovers of Oil and Renewable Firms Under Extreme Conditions: New Evidence from Negative WTI Prices during COVID-19.” Energy Economics 104978.
   Google Scholar
• Diebold, F. X., L. Liu, and K. Yilmaz. 2017. Commodity Connectedness. Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Diebold, F. X., and K. Yilmaz. 2012. “Better to Give Than to Receive: Predictive Directional Measurement of Volatility Spillovers.” International Journal of Forecasting 28 (1): 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yılmaz. 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
• Douglas Foster, F., A. D. Lee, and W.-M. Liu. 2019. “CFDS, Forwards, Futures and the Cost-of-carry.” Pacific-Basin Finance Journal 54:183–198. https://doi.org/10.1016/j.pacfin.2018.05.004.
   Web of Science ®Google Scholar
• El-Sharif, I., D. Brown, B. Burton, B. Nixon, and A. Russell. 2005. “Evidence on the Nature and Extent of the Relationship between Oil Prices and Equity Values in the U.K.” Energy Economics 27 (6): 819–830. https://doi.org/10.1016/j.eneco.2005.09.002.
   Web of Science ®Google Scholar
• Faiola, A., E. Nakashima, and J. Drew. 2008. “The Crash: Risk and Regulation, What Went Wrong.” The Washington Post.
   Google Scholar
• Farid, S., G. M. Kayani, M. A. Naeem, and S. J. H. Shahzad. 2021. “Intraday Volatility Transmission among Precious Metals, Energy and Stocks during the COVID-19 Pandemic.” Resources Policy 72:102101. https://doi.org/10.1016/j.resourpol.2021.102101.
   Web of Science ®Google Scholar
• Fu, J., X. Wu, Y. Liu, and R. Chen. 2021. “Firm-specific Investor Sentiment and Stock Price Crash Risk.” Finance Research Letters 38:101442. https://doi.org/10.1016/j.frl.2020.101442.
   Web of Science ®Google Scholar
• Gong, X., J. Xu, T. Liu, and Z. Zhou. 2022. “Dynamic Volatility Connectedness between Industrial Metal Markets.” The North American Journal of Economics and Finance 63:101814. https://doi.org/10.1016/j.najef.2022.101814.
   Web of Science ®Google Scholar
• Greene, W. H. 1993. Econometric Analysis. New York: Macmillan.
   Google Scholar
• Harri, A., L. Nalley, and D. Hudson. 2009. “The Relationship between Oil, Exchange Rates, and Commodity Prices.” Journal of Agricultural and Applied Economics 41 (2): 501–510. https://doi.org/10.1017/S1074070800002959.
   Google Scholar
• Hernandez, M., and M. Torero. 2010. “Examining the Dynamic Relationship between Spot and Future Prices of Agricultural Commodities.” IFPRI Discussion Paper 00988: International Food Policy Research Institute (IFPRI). Washington DC.
   Google Scholar
• Hu, J., S. Li, A. G. Taboada, and F. Zhang. 2020. “Corporate Board Reforms Around the World and Stock Price Crash Risk.” Journal of Corporate Finance 62:101557. https://doi.org/10.1016/j.jcorpfin.2020.101557.
   Web of Science ®Google Scholar
• Hung, N. T. 2021. “Oil Prices and Agricultural Commodity Markets: Evidence from Pre and during COVID-19 Outbreak.” Resources Policy 73:102236. https://doi.org/10.1016/j.resourpol.2021.102236.
   PubMed Web of Science ®Google Scholar
• Hung, N. T., and X. V. Vo. 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
• Hutton, A. P., A. J. Marcus, and H. Tehranian. 2009. “Opaque Financial Reports, R2, and Crash Risk.” Journal of Financial Economics 94 (1): 67–86. https://doi.org/10.1016/j.jfineco.2008.10.003.
   Web of Science ®Google Scholar
• Iqbal, N., E. Bouri, O. Grebinevych, and D. Roubaud. 2022. “Modelling Extreme Risk Spillovers in the Commodity Markets Around Crisis Periods Including COVID19.” Annals of Operations Research 330:305–334. https://doi.org/10.1007/s10479-022-04522-9.
   Web of Science ®Google Scholar
• Iqbal, N., E. Bouri, G. Liu, and A. Kumar. 2022. “Volatility Spillovers during Normal and High Volatility States and their Driving Factors: A Cross-country and Cross-asset Analysis.” International Journal of Finance & Economics, 1–21. https://doi.org/10.1002/ijfe.2717.
   Web of Science ®Google Scholar
• Iqbal, N., M. A. Naeem, and M. T. Suleman. 2022. “Quantifying the Asymmetric Spillovers in Sustainable Investments.” Journal of International Financial Markets, Institutions and Money 77:101480. https://doi.org/10.1016/j.intfin.2021.101480.
   Web of Science ®Google Scholar
• Iqbal, N., Z. Umar, A. M. Ruman, and S. Jiang. 2024. “The Term Structure of Yield Curve and Connectedness among ESG Investments.” Research in International Business and Finance 67:102145. https://doi.org/10.1016/j.ribaf.2023.102145.
   Web of Science ®Google Scholar
• Ji, Q., W. Bahloul, J.-B. Geng, and R. Gupta. 2020. “Trading Behaviour Connectedness Across Commodity Markets: Evidence from the Hedgers’ Sentiment Perspective.” Research in International Business and Finance 52:101114. https://doi.org/10.1016/j.ribaf.2019.101114.
   Web of Science ®Google Scholar
• Kang, S. H., R. McIver, and S.-M. Yoon. 2017. “Dynamic Spillover Effects among Crude Oil, Precious Metal, and Agricultural Commodity Futures Markets.” Energy Economics 62:19–32. https://doi.org/10.1016/j.eneco.2016.12.011.
   Web of Science ®Google Scholar
• Koirala, K. H., A. K. Mishra, J. M. D'Antoni, and J. E. Mehlhorn. 2015. “Energy Prices and Agricultural Commodity Prices: Testing Correlation Using Copulas Method.” Energy 81:430–436. https://doi.org/10.1016/j.energy.2014.12.055.
   Web of Science ®Google Scholar
• Koop, G., M. H. Pesaran, and S. M. Potter. 1996. “Impulse Response Analysis in Nonlinear Multivariate Models.” Journal of Econometrics 74 (1): 119–147. https://doi.org/10.1016/0304-4076(95)01753-4.
   Web of Science ®Google Scholar
• Kumar, S., R. Patel, N. Iqbal, and M. Gubareva. 2023. “Interconnectivity among Cryptocurrencies, NFTs, and DeFi: Evidence from the Russia-Ukraine Conflict.” The North American Journal of Economics and Finance 68:101983. https://doi.org/10.1016/j.najef.2023.101983.
   Web of Science ®Google Scholar
• Lin, B., and J. Li. 2015. “The Spillover Effects across Natural Gas and Oil Markets: Based on the VEC–MGARCH Framework.” Applied Energy 155:229–241. https://doi.org/10.1016/j.apenergy.2015.05.123.
   Web of Science ®Google Scholar
• Liu, L. Y., A. J. Patton, and K. Sheppard. 2015. “Does Anything Beat 5-Minute R.V.? A Comparison of Realized Measures across Multiple Asset Classes.” Journal of Econometrics 187 (1): 293–311. https://doi.org/10.1016/j.jeconom.2015.02.008.
   Web of Science ®Google Scholar
• Lovcha, Y., and A. Perez-Laborda. 2020. “Dynamic Frequency Connectedness between Oil and Natural Gas Volatilities.” Economic Modelling 84:181–189. doi:https://doi.org/10.1016/j.econmod.2019.04.008.
   Web of Science ®Google Scholar
• Lucotte, Y. 2016. “Co-movements between Crude Oil and Food Prices: A Post-commodity Boom Perspective.” Economics Letters 147:142–147. https://doi.org/10.1016/j.econlet.2016.08.032.
   Web of Science ®Google Scholar
• Malik, F., and Z. Umar. 2019. “Dynamic Connectedness of Oil Price Shocks and Exchange Rates.” Energy Economics 84:104501. https://doi.org/10.1016/j.eneco.2019.104501.
   Web of Science ®Google Scholar
• Mbarki, I., A. Omri, and M. A. Naeem. 2022. “From Sentiment to Systemic Risk: Information Transmission in Asia-pacific Stock Markets.” Research in International Business and Finance 63:101796. https://doi.org/10.1016/j.ribaf.2022.101796.
   Web of Science ®Google Scholar
• Melvin, M., and J. Sultan. 1990. “South African Political Unrest, Oil Prices, and the Time Varying Risk Premium in the Gold Futures Market.” The Journal of Futures Markets (1986–1998) 10 (2): 103–111. https://doi.org/10.1002/fut.3990100202.
   Web of Science ®Google Scholar
• Mensi, W., K. H. Al-Yahyaee, X. V. Vo, and S. H. Kang. 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.
   Web of Science ®Google Scholar
• Mensi, W., S. Hammoudeh, D. K. Nguyen, and S.-M. Yoon. 2014. “Dynamic Spillovers among Major Energy and Cereal Commodity Prices.” Energy Economics 43:225–243. https://doi.org/10.1016/j.eneco.2014.03.004.
   Web of Science ®Google Scholar
• Mensi, W., M. A. Naeem, X. V. Vo, and S. H. Kang. 2022. “Dynamic and Frequency Spillovers between Green Bonds, Oil and G7 Stock Markets: Implications for Risk Management.” Economic Analysis and Policy 73:331–344. https://doi.org/10.1016/j.eap.2021.11.015.
   Web of Science ®Google Scholar
• Mirza, N., M. A. Naeem, T. T. H. Nguyen, N. Arfaoui, and J. A. Oliyide. 2023. “Are Sustainable Investments Interdependent? The International Evidence.” Economic Modelling 119:106120. https://doi.org/10.1016/j.econmod.2022.106120.
   PubMed Web of Science ®Google Scholar
• Mohammadi, H. 2009. “Electricity Prices and Fuel Costs: Long-run Relations and Short-run Dynamics.” Energy Economics 31 (3): 503–509. https://doi.org/10.1016/j.eneco.2009.02.001.
   Web of Science ®Google Scholar
• Mu, X. 2007. “Weather, Storage, and Natural Gas Price Dynamics: Fundamentals and Volatility.” Energy Economics 29 (1): 46–63. https://doi.org/10.1016/j.eneco.2006.04.003.
   Web of Science ®Google Scholar
• Naeem, M. A., A. Agyemang, M. I. H. Chowdhury, M. Hasan, and S. J. H. Shahzad. 2022a. “Precious Metals as Hedge and Safe Haven for African Stock Markets.” Resources Policy 78:102781. https://doi.org/10.1016/j.resourpol.2022.102781.
   Web of Science ®Google Scholar
• Naeem, M. A., M. Appiah, J. Taden, R. Amoasi, and B. A. Gyamfi. 2023a. “Transitioning to Clean Energy: Assessing the Impact of Renewable Energy, Bio-capacity and Access to Clean Fuel on Carbon Emissions in OECD Economies.” Energy Economics 127:107091. https://doi.org/10.1016/j.eneco.2023.107091.
   Web of Science ®Google Scholar
• Naeem, M. A., and N. Arfaoui. 2023b. “Exploring Downside Risk Dependence across Energy Markets: Electricity, Conventional Energy, Carbon, and Clean Energy during Episodes of Market Crises.” Energy Economics 127:107082. https://doi.org/10.1016/j.eneco.2023.107082.
   Web of Science ®Google Scholar
• Naeem, M. A., S. Farid, I. Yousaf, and S. H. Kang. 2023c. “Asymmetric Efficiency in Petroleum Markets Before and during COVID-19.” Resources Policy 86:104194. https://doi.org/10.1016/j.resourpol.2023.104194.
   Web of Science ®Google Scholar
• Naeem, M. A., M. Hasan, A. Agyemang, M. I. H. Chowdhury, and F. Balli. 2023d. “Time-frequency Dynamics between Fear Connectedness of Stocks and Alternative Assets.” International Journal of Finance & Economics 28 (2): 2188–2201. https://doi.org/10.1002/ijfe.2532.
   Web of Science ®Google Scholar
• Naeem, M. A., N. Iqbal, S. Karim, and B. M. Lucey. 2023e. “From Forests to Faucets to Fuel: Investigating the Domino Effect of Extreme Risk in Timber, Water, and Energy Markets.” Finance Research Letters 55:104010. https://doi.org/10.1016/j.frl.2023.104010.
   Web of Science ®Google Scholar
• Naeem, M. A., I. Mbarki, M. Alharthi, A. Omri, and S. J. H. Shahzad. 2021a. “Did COVID-19 Impact the Connectedness between Green Bonds and Other Financial Markets? Evidence from Time-frequency Domain With Portfolio Implications.” Frontiers in Environmental Science 9:180.
   Web of Science ®Google Scholar
• Naeem, M. A., Z. Peng, E. Bouri, S. J. H. Shahzad, and S. Karim. 2022b. “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
• Naeem, M. A., S. Sehrish, and M. D. Costa. 2021b. “COVID-19 Pandemic and Connectedness Across Financial Markets.” Pacific Accounting Review 33 (2):165–178.
   Web of Science ®Google Scholar
• Narayan, P. K., S. Narayan, and X. Zheng. 2010. “Gold and Oil Futures Markets: Are Markets Efficient?” Applied Energy 87 (10): 3299–3303. https://doi.org/10.1016/j.apenergy.2010.03.020.
   Web of Science ®Google Scholar
• Nazlioglu, S., C. Erdem, and U. Soytas. 2013. “Volatility Spillover between Oil and Agricultural Commodity Markets.” Energy Economics 36:658–665. https://doi.org/10.1016/j.eneco.2012.11.009.
   Web of Science ®Google Scholar
• Nekhili, R., W. Mensi, and X. V. Vo. 2021. “Multiscale Spillovers and Connectedness between Gold, Copper, oil, Wheat and Currency Markets.” Resources Policy 74:102263. https://doi.org/10.1016/j.resourpol.2021.102263.
   Web of Science ®Google Scholar
• Pal, D., and S. K. Mitra. 2018. “Interdependence between Crude Oil and World Food Prices: A Detrended Cross Correlation Analysis.” Physica A: Statistical Mechanics and its Applications 492:1032–1044. https://doi.org/10.1016/j.physa.2017.11.033.
   Web of Science ®Google Scholar
• Pelster, M., B. Breitmayer, and T. Hasso. 2019. “Are Cryptocurrency Traders Pioneers or Just Risk-seekers? Evidence from Brokerage Accounts.” Economics Letters 182:98–100. https://doi.org/10.1016/j.econlet.2019.06.013.
   Web of Science ®Google Scholar
• Pesaran, H. H., and Y. Shin. 1998. “Generalized Impulse Response Analysis in Linear Multivariate Models.” Economics Letters 58 (1): 17–29. https://doi.org/10.1016/S0165-1765(97)00214-0.
   Web of Science ®Google Scholar
• Pindyck, R. S., and J. J. Rotemberg. 1990. The Excess Co-movement of Commodity Prices. The Economic Journal 100 (403):1173–1189.
   Google Scholar
• Polat, O. 2020. “Measuring Dynamic Connectedness Networks in Energy Commodities: Evidence from the D-Y and Frequency Connectedness Approaches.” OPEC Energy Review 44 (4): 404–428. https://doi.org/10.1111/opec.12188.
   Web of Science ®Google Scholar
• Reboredo, J. C. 2013. “Is Gold a Hedge or Safe Haven Against Oil Price Movements?” Resources Policy 38 (2): 130–137. https://doi.org/10.1016/j.resourpol.2013.02.003.
   Web of Science ®Google Scholar
• Rehman, M. U., M. A. Naeem, N. Ahmad, and X. V. Vo. 2023. “Global Energy Markets Connectedness: Evidence from Time–frequency Domain.” Environmental Science and Pollution Research 30 (12): 34319–34337. https://doi.org/10.1007/s11356-022-24612-2.
   PubMed Web of Science ®Google Scholar
• Saggu, A., and W. Anukoonwattaka. 2015. Commodity Price Crash: Risks to Exports and Economic Growth in Asia-Pacific LDCs and LLDCs.” United Nations ESCAP Trade Insights Issue (6). Working paper available at SSRN: https://ssrn.com/abstract=2617542
   Google Scholar
• Sari, R., S. Hammoudeh, and U. Soytas. 2010. “Dynamics of Oil Price, Precious Metal Prices, and Exchange Rate.” Energy Economics 32 (2): 351–362. https://doi.org/10.1016/j.eneco.2009.08.010.
   Web of Science ®Google Scholar
• Scholtens, B., and C. Yurtsever. 2012. “Oil Price Shocks and European Industries.” Energy Economics 34 (4): 1187–1195. https://doi.org/10.1016/j.eneco.2011.10.012.
   Web of Science ®Google Scholar
• Silvennoinen, A., and S. Thorp. 2013. “Financialization, Crisis and Commodity Correlation Dynamics.” Journal of International Financial Markets, Institutions and Money 24:42–65. https://doi.org/10.1016/j.intfin.2012.11.007.
   Web of Science ®Google Scholar
• Turhan, M. I., A. Sensoy, K. Ozturk, and E. Hacihasanoglu. 2014. “A View to the Long-run Dynamic Relationship between Crude oil and the Major Asset Classes.” International Review of Economics & Finance 33:286–299. https://doi.org/10.1016/j.iref.2014.06.002.
   Web of Science ®Google Scholar
• Wang, L., F. Ahmad, G.-l. Luo, M. Umar, and D. Kirikkaleli. 2022. “Portfolio Optimization of Financial Commodities with Energy Futures.” Annals of Operations Research 313 (1): 401–439. https://doi.org/10.1007/s10479-021-04283-x.
   PubMed Web of Science ®Google Scholar
• Wątorek, M., J. Kwapień, and S. Drożdż. 2021. “Financial Return Distributions: Past, Present, and COVID-19.” Entropy 23 (7): 884. https://doi.org/10.3390/e23070884.
   PubMed Web of Science ®Google Scholar
• Wu, X., X. Yin, Z. Umar, and N. Iqbal. 2023. “Volatility Forecasting in the Bitcoin Market: A New Proposed Measure Based on the VS-ACARR Approach.” The North American Journal of Economics and Finance 67:101948. https://doi.org/10.1016/j.najef.2023.101948.
   Web of Science ®Google Scholar
• Zhang, D. 2018. “Energy Finance: Background, Concept, and Recent Developments.” Emerging Markets Finance and Trade 54 (8): 1687–1692.
   Web of Science ®Google Scholar
• Zhang, X., E. Bouri, Y. Xu, and G. Zhang. 2022. “The Asymmetric Relationship between Returns and Implied Higher Moments: Evidence from the Crude Oil Market.” Energy Economics 109:105950. https://doi.org/10.1016/j.eneco.2022.105950.
   Google Scholar
• Zhang, H., J. Chen, and L. Shao. 2021. “Dynamic Spillovers between Energy and Stock Markets and their Implications in the Context of COVID-19.” International Review of Financial Analysis 77:101828.
   PubMed Web of Science ®Google Scholar
• Zhang, X., Z. Ding, J. Hang, and Q. He. 2022. “How do Stock Price Indices Absorb the COVID-19 Pandemic Shocks?” The North American Journal of Economics and Finance 60:101672. https://doi.org/10.1016/j.najef.2022.101672.
   Web of Science ®Google Scholar
• Zhang, P., J. Gao, Y. Zhang, and T.-W. Wang. 2021. “Dynamic Spillover Effects between the U.S. Stock Volatility and China’s Stock Market Crash Risk: A TVP-VAR Approach.” Mathematical Problems in Engineering 2021:1–12.
   Web of Science ®Google Scholar
• Zhang, H., C. Jin, E. Bouri, W. Gao, and Y. Xu. 2022. “Realized Higher-order Moments Spillovers between Commodity and Stock Markets: Evidence from China.” Journal of Commodity Markets 30:100275. https://doi.org/10.1016/j.jcomm.2022.100275.
   Web of Science ®Google Scholar
• Zhang, C., and X. Qu. 2015. “The Effect of Global Oil Price Shocks on China's Agricultural Commodities.” Energy Economics 51: 354–364.
   Web of Science ®Google Scholar
• Zhang, X., X. Yang, and Q. He. 2022. “Multi-scale Systemic Risk and Spillover Networks of Commodity Markets in the Bullish and Bearish Regimes.” The North American Journal of Economics and Finance 62:101766. https://doi.org/10.1016/j.najef.2022.101766.
   Web of Science ®Google Scholar