Dynamic dependencies and return connectedness among stock, gold and Bitcoin markets: Evidence from South Asia and China
DOI:
https://doi.org/10.24136/eq.2023.002Keywords:
South Asia and China, gold, Bitcoin, dependency and connectedness, COVID-19Abstract
Research background: In order to examine market uncertainty, the paper depicts broad patterns of risk and systematic exposure to global equity market shocks for the major South Asian and Chinese equity markets, as well as for specific assets (gold and Bitcoin).
Purpose of the article: The purpose of this paper is to investigate the dynamic correlation among the major South Asian equity markets (India and Pakistan), the Chinese equity markets, the MSCI developed markets, Bitcoin, and gold markets.
Methods: While applying the GARCH-Vine-Copula model and the TVP-VAR Connectedness approach, major patterns of dependency and interconnectedness between these markets are investigated.
Findings & value added: We find that risk shocks from developed equity markets are critical in these dynamic links. A net return spillover from Bitcoin to the Chinese and Pakistani stock markets throughout the sample period is reported. Interestingly, gold can be applied to hedge and diversify positions in China and major South Asian markets, particularly following the COVID-19 outbreak. Our paper presents three main original add valued: (1) This paper adds global factors to the targeted study of risk transmission among South Asian and Chinese stock markets for the first time. (2)The assets of Bitcoin and gold were added to the study of risk transmission among South Asian and Chinese stock markets for the first time, enabling the research in this paper to observe the non-linear link among the South Asian and Chinese stock markets with them. (3) Our research adds to these lines of inquiry by giving empirical evidence on how COVID-19 altered the dependent structure and return spillover dynamics of Bitcoin, gold and South Asian and Chinese stock markets for the first time. Our results have critical implications for investors and policymakers to effectively understand the nature of market forces and develop risk-averse strategies.
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References
Aas, K., Czado, C., Frigessi, A., & Bakken, H. (2009). Pair-copula constructions of multiple dependence. Insurance: Mathematics and Economics, 44(2), 182?198. doi: 10.1016/j.insmatheco.2007.02.001.
DOI: https://doi.org/10.1016/j.insmatheco.2007.02.001
View in Google Scholar
Abbas, Q., Khan, S., & Shah, S. Z. A. (2013). Volatility transmission in regional Asian stock markets. Emerging Markets Review, 16, 66?77. doi: 10.1016/j.ememar. 2013.04.004.
DOI: https://doi.org/10.1016/j.ememar.2013.04.004
View in Google Scholar
Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregres-sions. Journal of Risk and Financial Management, 13(4), 84. doi: 10.3390/jrfm13 040084.
DOI: https://doi.org/10.3390/jrfm13040084
View in Google Scholar
Arslanalp, M. S., Liao, W., Piao, S., & Seneviratne, M. (2016). China's growing influ-ence on Asian financial markets. International Monetary Fund.
DOI: https://doi.org/10.2139/ssrn.2882611
View in Google Scholar
Aslam, F., Mughal, K. S., Aziz, S., Ahmad, M. F., & Trabelsi, D. (2022). COVID-19 pandemic and the dependence structure of global stock markets. Applied Economics, 54(18), 2013?2031. doi: 10.1080/00036846.2021.1983148.
DOI: https://doi.org/10.1080/00036846.2021.1983148
View in Google Scholar
Barro, R. J. (2006). Rare disasters and asset markets in the twentieth century. Quarterly Journal of Economics, 121(3), 823?866. doi: 10.1162/qjec.121.3.823.
DOI: https://doi.org/10.1162/qjec.121.3.823
View in 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. doi: 10.1111/j.1540-628 8.2010.00244.x.
DOI: https://doi.org/10.1111/j.1540-6288.2010.00244.x
View in Google Scholar
Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or specula-tive assets? Journal of International Financial Markets, Institutions and Money, 54, 177?189. doi: 10.1016/j.intfin.2017.12.004.
DOI: https://doi.org/10.1016/j.intfin.2017.12.004
View in Google Scholar
BBC (2021). India-China dispute: The border row explained in 400 words. Retrieved from https://www.bbc.com/news/world-asia-53062484.
View in Google Scholar
Bekiros, S. D. (2014). Contagion, decoupling and the spillover effects of the US fi-nancial crisis: Evidence from the BRIC markets. International Review of Financial Analysis, 33, 58?69. doi: 10.1016/j.irfa.2013.07.007.
DOI: https://doi.org/10.1016/j.irfa.2013.07.007
View in Google Scholar
Benoit, S., Colliard, J. E., Hurlin, C., & Pérignon, C. (2017). Where the risks lie: A survey on systemic risk. Review of Finance, 21(1), 109?152. doi: 10.1093/rof/rfw 026.
DOI: https://doi.org/10.1093/rof/rfw026
View in Google Scholar
Blasques, F., Koopman, S. J., Lucas, A., & Schaumburg, J. (2016). Spillover dynamics for systemic risk measurement using spatial financial time series models. Journal of Econometrics, 195(2), 211?223. doi: 10.1016/j.jeconom.2016.09.001.
DOI: https://doi.org/10.1016/j.jeconom.2016.09.001
View in Google Scholar
Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017a). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192?198. doi: 10.1016/j.frl.2016.09.025.
DOI: https://doi.org/10.1016/j.frl.2016.09.025
View in Google Scholar
Bouri, E., Jalkh, N., Molnár, P., & Roubaud, D. (2017b). Bitcoin for energy commodi-ties before and after the December 2013 crash: Diversifier, hedge or safe ha-ven? Applied Economics, 49(50), 5063?5073. doi: 10.1080/00036846.2017.1299102.
DOI: https://doi.org/10.1080/00036846.2017.1299102
View in Google Scholar
Bouri, E., Cepni, O., Gabauer, D., & Gupta, R. (2021). Return connectedness across asset classes around the COVID-19 outbreak. International Review of Financial Analysis, 73, 101646. doi: 10.1016/j.irfa.2020.101646.
DOI: https://doi.org/10.1016/j.irfa.2020.101646
View in Google Scholar
Burdekin, R. C., & Siklos, P. L. (2012). Enter the dragon: Interactions between Chi-nese, US and Asia-Pacific equity markets, 1995?2010. Pacific-basin Finance Journal, 20(3), 521?541. doi: 10.1016/j.pacfin.2011.12.004.
DOI: https://doi.org/10.1016/j.pacfin.2011.12.004
View in Google Scholar
Chainalysis (2020). The 2020 Geography of cryptocurrency report. Retrieved from https://markets.chainalysis.com/#geography.
View in Google Scholar
Chen, C., Liu, L., & Zhao, N. (2020). Fear sentiment, uncertainty, and Bitcoin price dynamics: The case of COVID-19. Emerging Markets Finance and Trade, 56(10), 2298?2309. doi: 10.1080/1540496X.2020.1787150.
DOI: https://doi.org/10.1080/1540496X.2020.1787150
View in Google Scholar
Chen, P. (2018). Understanding international stock market comovements: A com-parison of developed and emerging markets. International Review of Economics & Finance, 56, 451?464. doi: 10.1016/j.pacfin.2011.12.004.
DOI: https://doi.org/10.1016/j.iref.2017.12.004
View in Google Scholar
Cheng, H. P., & Yen, K. C. (2020). The relationship between the economic policy uncertainty and the cryptocurrency market. Finance Research Letters, 35, 101308. doi: 10.1016/j.frl.2019.101308.
DOI: https://doi.org/10.1016/j.frl.2019.101308
View in Google Scholar
Cohney, S., Hoffman, D., Sklaroff, J., & Wishnick, D. (2019). Coin-operated capital-ism. Columbia Law Review, 119(3), 591?676.
DOI: https://doi.org/10.2139/ssrn.3215345
View in Google Scholar
Corbet, S., Larkin, C., & Lucey, B. (2020). The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies. Finance Research Let-ters, 35, 101554. doi: 10.1016/j.frl.2020.101554.
DOI: https://doi.org/10.1016/j.frl.2020.101554
View in Google Scholar
Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. Economic Journal, 119(534), 158?171. doi: 10.1111/j.1468-0297.2008.02208.x.
DOI: https://doi.org/10.1111/j.1468-0297.2008.02208.x
View in Google Scholar
Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive direc-tional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57?66. doi: 10.1016/j.ijforecast.2011.02.006.
DOI: https://doi.org/10.1016/j.ijforecast.2011.02.006
View in Google Scholar
Diebold, F. X., & Y?lmaz, K. (2014). On the network topology of variance decompo-sitions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119?134. doi: 10.1016/j.jeconom.2014.04.012.
DOI: https://doi.org/10.1016/j.jeconom.2014.04.012
View in Google Scholar
Donaubauer, J., Neumayer, E., & Nunnenkamp, P. (2020). Financial market devel-opment in host and source countries and their effects on bilateral foreign direct investment. World Economy, 43(3), 534?556. doi: 10.1111/twec.12884.
DOI: https://doi.org/10.1111/twec.12884
View in Google Scholar
Dorofeyev, M., K?sov, M., Ponkratov, V., Masterov, A., Karaev, A., & Vasyunina, M. (2018). Trends and prospects for the development of blockchain and crypto-currencies in the digital economy. European Research Studies Journal, 21(3), 429?445. doi: 10.35808/ersj/1073.
DOI: https://doi.org/10.35808/ersj/1073
View in Google Scholar
Dyhrberg, A. H. (2016). Hedging capabilities of Bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139?144. doi: 10.1016/j.frl.2015.10.025.
DOI: https://doi.org/10.1016/j.frl.2015.10.025
View in Google Scholar
Elsayed, A. H., Gozgor, G., & Lau, C. K. M. (2022). Risk transmissions between Bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties. International Review of Financial Analysis, 81, 102069. doi: 10.1016/j.irfa.2022.102069.
DOI: https://doi.org/10.1016/j.irfa.2022.102069
View in Google Scholar
Ghazali, M. F., Lean, H. H., & Bahari, Z. (2020). Does gold investment offer protec-tion against stock market losses? Evidence from five countries. Singapore Economic Review, 65(02), 275?301. doi: 10.1142/S021759081950036X.
DOI: https://doi.org/10.1142/S021759081950036X
View in Google Scholar
Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance, 48(5), 1779?1801. doi: 10.1111/j.1540-6261.1993.tb05128.x.
DOI: https://doi.org/10.1111/j.1540-6261.1993.tb05128.x
View in Google Scholar
Gong, X. L., Liu, X. H., Xiong, X., & Zhang, W. (2019). Financial systemic risk meas-urement based on causal network connectedness analysis. International Review of Economics & Finance, 64, 290?307. doi: 10.1016/j.iref.2019.07.004.
DOI: https://doi.org/10.1016/j.iref.2019.07.004
View in Google Scholar
Goodwin, B. K., & Hungerford, A. (2015). Copula?based models of systemic risk in US agriculture: Implications for crop insurance and reinsurance con-tracts. American Journal of Agricultural Economics, 97(3), 879?896. doi: 10.1093/ajae /aau086.
DOI: https://doi.org/10.1093/ajae/aau086
View in Google Scholar
Hollander, M., Wolfe, D. A., & Chicken, E. (2013). Nonparametric statistical methods. John Wiley & Sons.
View in Google Scholar
Huda, M. S., & McDonald, M. (2016). Regional cooperation on energy in South Asia: Unraveling the political challenges in implementing transnational pipelines and electricity grids. Energy Policy, 98, 73?83. doi: 10.1016/j.enpol.2016.07.046.
DOI: https://doi.org/10.1016/j.enpol.2016.07.046
View in Google Scholar
Hung, N. T. (2021). Comovements between Bitcoin and other asset classes in In-dia. Journal of Indian Business Research, 13(2), 270?288. doi: 10.1108/JIBR-03-2020-0071.
DOI: https://doi.org/10.1108/JIBR-03-2020-0071
View in Google Scholar
IMF (2021). World Economic Outlook Database, April 2021. Retrieved from https://www.imf.org/en/Publications/WEO/Issues/2021/03/23/world-economic-o utlook-april-2021.
View in Google Scholar
Iqbal, H. R., Saeed, S. K., & Ali Shah, S. Z. (2020). Structural breaks and volatility spillover in South Asian economies. SEISENSE Journal of Management, 3(1), 64?77. doi: 10.33215/sjom.v3i1.260.
DOI: https://doi.org/10.33215/sjom.v3i1.260
View in Google Scholar
Jain, A., & Biswal, P. C. (2016). Dynamic linkages among oil price, gold price, ex-change rate, and stock market in India. Resources Policy, 49, 179?185. doi: 10.1016 /j.resourpol.2016.06.001.
DOI: https://doi.org/10.1016/j.resourpol.2016.06.001
View in Google Scholar
Jebran, K., Chen, S., Ullah, I., & Mirza, S. S. (2017). Does volatility spillover among stock markets varies from normal to turbulent periods? Evidence from emerg-ing markets of Asia. Journal of Finance and Data Science, 3(1-4), 20?30. doi: 10.1016 /j.jfds.2017.06.001.
DOI: https://doi.org/10.1016/j.jfds.2017.06.001
View in Google Scholar
Ji, Q., Liu, B. Y., Zhao, W. L., & Fan, Y. (2020a). Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS. International Review of Financial Analysis, 68, 101238. doi: 10.1016/j.irfa.2 018.08.002.
DOI: https://doi.org/10.1016/j.irfa.2018.08.002
View in Google Scholar
Ji, Q., Zhang, D., & Zhao, Y. (2020b). Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71, 101526. doi: 10.1016/j.irfa.2020.101526.
DOI: https://doi.org/10.1016/j.irfa.2020.101526
View in Google Scholar
Kim, B. H., Kim, H., & Lee, B. S. (2015). Spillover effects of the US financial crisis on financial markets in emerging Asian countries. International Review of Economics & Finance, 39, 192?210. doi: 10.1016/j.iref.2015.04.005.
DOI: https://doi.org/10.1016/j.iref.2015.04.005
View in Google Scholar
Klein, T., Thu, H. P., & Walther, T. (2018). Bitcoin is not the New Gold?A compari-son of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105?116. doi: 10.1016/j.irfa.2018.07.010.
DOI: https://doi.org/10.1016/j.irfa.2018.07.010
View in Google Scholar
Kliber, A., Marszałek, P., Musiałkowska, I., & Świerczyńska, K. (2019). Bitcoin: Safe haven, hedge or diversifier? Perception of Bitcoin in the context of a country?s economic situation?A stochastic volatility approach. Physica A: Statistical Me-chanics and Its Applications, 524, 246?257. doi: 10.1016/j.physa.2019.04.145.
DOI: https://doi.org/10.1016/j.physa.2019.04.145
View in Google Scholar
Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in non-linear multivariate models. Journal of Econometrics, 74(1), 119?147. doi: 10.1016/03 04-4076(95)01753-4.
DOI: https://doi.org/10.1016/0304-4076(95)01753-4
View in Google Scholar
KPMG (2020). China Economic Monitor: Q1 2020. Retrieved from https://home.kpmg/cn/en/home/insights/2020/02/china-economic-monitor-q1-20 20.html.
View in Google Scholar
Kumar, R., & Dhankar, R. S. (2017). Financial instability, integration and volatility of emerging South Asian stock markets. South Asian Journal of Business Studies, 6(2), 177?190. doi: 10.1108/SAJBS-07-2016-0059.
DOI: https://doi.org/10.1108/SAJBS-07-2016-0059
View in Google Scholar
Kyriazis, N. A. (2020). Is Bitcoin similar to gold? An integrated overview of empiri-cal findings. Journal of Risk and Financial Management, 13(5), 88. doi: 10.3390/jrfm 13050088.
DOI: https://doi.org/10.3390/jrfm13050088
View in Google Scholar
Lu, R., & Zeng, H. (2022). VIX and major agricultural future markets: dynamic link-age and time-frequency relations around the COVID-19 outbreak. Studies in Economics and Finance. Advance online publication. doi: 10.1108/SEF-02-2022-0121.
DOI: https://doi.org/10.1108/SEF-02-2022-0121
View in Google Scholar
Mazur, M., Dang, M., & Vega, M. (2021). COVID-19 and the march 2020 stock mar-ket crash. Evidence from S&P1500. Finance Research Letters, 38, 101690. doi: 10.1016/j.frl.2020.101690.
DOI: https://doi.org/10.1016/j.frl.2020.101690
View in Google Scholar
Mensi, W., Hkiri, B., Al-Yahyaee, K. H., & Kang, S. H. (2018). Analysing time?frequency comovements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach. International Review of Economics & Finance, 54, 74?102. doi: 10.1016/j.iref.2017.07.032.
DOI: https://doi.org/10.1016/j.iref.2017.07.032
View in Google Scholar
Mensi, W., Shafiullah, M., Vo, X. V., & Kang, S. H. (2021). Volatility spillovers be-tween strategic commodity futures and stock markets and portfolio implica-tions: evidence from developed and emerging economies. Resources Policy, 71, 102002. doi: 10.1016/j.iref.2017.07.032.
DOI: https://doi.org/10.1016/j.resourpol.2021.102002
View in Google Scholar
Natarajan, V. K., Singh, A. R. R., & Priya, N. C. (2014). Examining mean-volatility spillovers across national stock markets. Journal of Economics Finance and Administrative Science, 19(36), 55?62. doi: 10.1016/j.jefas.2014.01.001.
DOI: https://doi.org/10.1016/j.jefas.2014.01.001
View in Google Scholar
Panda, J. P. (2021). China as a revisionist power in Indo-Pacific and India?s percep-tion: A power-partner contention. Journal of Contemporary China, 30(127), 1?17. doi: 10.1080/10670564.2020.1766906.
DOI: https://doi.org/10.1080/10670564.2020.1766906
View in Google Scholar
Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17?29. doi: 10.1016/S0165-1765(97)0 0214-0.
DOI: https://doi.org/10.1016/S0165-1765(97)00214-0
View in Google Scholar
Petry, J. (2022). Beyond ports, roads and railways: Chinese economic statecraft, the Belt and Road Initiative and the politics of financial infrastructures. European Journal of International Relations. Advance online publication. doi: 10.1177/135 40661221126615.
DOI: https://doi.org/10.1177/13540661221126615
View in Google Scholar
Pham, L., & Nguyen, C. P. (2021). How do stock, oil, and economic policy uncertain-ty influence the green bond market? Finance Research Letters. Advance online publication. doi: 102128. 10.1016/j.frl.2021.102128.
DOI: https://doi.org/10.1016/j.frl.2021.102128
View in Google Scholar
Pho, K. H., Ly, S., Lu, R., Van Hoang, T. H., & Wong, W. K. (2021). Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for Chi-na. International Review of Financial Analysis, 74, 101674. doi: 10.1016/j.irfa.2021. 101674.
DOI: https://doi.org/10.1016/j.irfa.2021.101674
View in Google Scholar
Sarwar, S., Tiwari, A. K., & Tingqiu, C. (2020). Analyzing volatility spillovers be-tween oil market and Asian stock markets. Resources policy, 66, 101608. doi: 10.1016/j.resourpol.2020.101608.
DOI: https://doi.org/10.1016/j.resourpol.2020.101608
View in Google Scholar
Shahzad, S. J. H., Bouri, E., Roubaud, D., & Kristoufek, L. (2020). Safe haven, hedge and diversification for G7 stock markets: Gold versus Bitcoin. Economic Modelling, 87, 212?224. doi: 10.1016/j.econmod.2019.07.023.
DOI: https://doi.org/10.1016/j.econmod.2019.07.023
View in Google Scholar
Shahzad, S. J. H., Bouri, E., Roubaud, D., Kristoufek, L., & Lucey, B. (2019). Is Bitcoin a better safe-haven investment than gold and commodities? International Review of Financial Analysis, 63, 322?330. doi: 10.1016/j.irfa.2019.01.002.
DOI: https://doi.org/10.1016/j.irfa.2019.01.002
View in Google Scholar
Sharma, C., & Sahni, N. (2021). A mutual information based R-vine-copula strategy to estimate VaR in high frequency stock market data. Plos One, 16(6), e0253307. doi: 10.1371/journal.pone.0253307.
DOI: https://doi.org/10.1371/journal.pone.0253307
View in Google Scholar
Shehzad, K., Xiaoxing, L., Kazouz, H., Balsalobre-Lorente, D., Zeraibi, A., & Rauf, A. (2021). An asymmetric spillover between China and Pakistan'stock markets: A comparative analysis before and during COVID-19 crisis. Journal of Sustainable Finance & Investment. Advance line publication. doi: 10.1080/20430795.2020.1870 203.
DOI: https://doi.org/10.1080/20430795.2020.1870203
View in Google Scholar
Sims, C. A. (1980). Macroeconomics and reality. Econometrica: Journal of the Econometric Society, 48(1), 1?48. doi: 10.2307/1912017.
DOI: https://doi.org/10.2307/1912017
View in Google Scholar
Syuhada, K., Suprijanto, D., & Hakim, A. (2021). Comparing gold?s and Bitcoin?s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine-copula approach. Finance Research Letters, 46, 102471. doi: 10.1016/j.frl.202 1.102471.
DOI: https://doi.org/10.1016/j.frl.2021.102471
View in Google Scholar
Talbi, M., Bedoui, R., de Peretti, C., & Belkacem, L. (2021). Is the role of precious metals as precious as they are? A vine-copula and BiVaR approaches. Resources Policy, 73, 102140. doi: 10.1016/j.resourpol.2021.102140.
DOI: https://doi.org/10.1016/j.resourpol.2021.102140
View in 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 Fi-nance, 31, 100525. doi: 10.1016/j.jbef.2021.100525.
DOI: https://doi.org/10.1016/j.jbef.2021.100525
View in Google Scholar
Wang, G., Tang, Y., Xie, C., & Chen, S. (2019). Is Bitcoin a safe haven or a hedging asset? Evidence from China. Journal of Management Science and Engineering, 4(3), 173?188. doi: 10.1016/j.jmse.2019.09.001.
DOI: https://doi.org/10.1016/j.jmse.2019.09.001
View in Google Scholar
World Gold Council. (2020). Gold mine production. Retrieved from https://www.gold.org/goldhub/data/historical-mine-production.
View in Google Scholar
World Gold Council. (2021). India. Retrieved from https://www.gold.org/about-gold/gold-demand/geographical-diversity/india.
View in Google Scholar
Wu, F., Zhang, D., & Ji, Q. (2021). Systemic risk and financial contagion across top global energy companies. Energy Economics, 97, 105221. doi: 10.1016/j.eneco.2021. 105221.
DOI: https://doi.org/10.1016/j.eneco.2021.105221
View in Google Scholar
Zeng, H., & Ahmed, A. D. (2022). Market integration and volatility spillover across major East Asian stock and Bitcoin markets: an empirical assess-ment. International Journal of Managerial Finance. Advance online publication. doi: 10.1108/IJMF-03-2021-0161.
DOI: https://doi.org/10.1108/IJMF-03-2021-0161
View in Google Scholar
Zeng, H., Ahmed, A. D., Lu, R., & Dai, N. (2022). Dependence and spillover among oil market, China's stock market and exchange rate: New evidence from the Vine-Copula-CoVaR and VAR-BEKK-GARCH frameworks. Heliyon, 8(11), e11737. doi: 10.1016/j.heliyon.2022.e11737.
DOI: https://doi.org/10.1016/j.heliyon.2022.e11737
View in Google Scholar
Zeng, H., & Lu, R. (2022). High-frequency volatility connectedness and time-frequency correlation among Chinese stock and major commodity markets around COVID-19. Investment Management and Financial Innovations, 19(2), 260?273. doi: 10.21511/imfi.19(2).2022.23.
DOI: https://doi.org/10.21511/imfi.19(2).2022.23
View in Google Scholar
Zhang, L., Xie, Y., Zheng, Y., Xue, W., Zheng, X., & Xu, X. (2020). The challenges and countermeasures of blockchain in finance and economics. Systems Research and Behavioral Science, 37(4), 691?698. doi: 10.1002/sres.2710.
DOI: https://doi.org/10.1002/sres.2710
View in Google Scholar
