National team intervention and price efficiency differentiation under the impact of COVID-19

References

• Al-Awadhi, A. M., K. Alsaifi, A. Al-Awadhi, and S. Alhammadi. 2021. “2020.” Journal of Behavioral and Experimental Finance 27 (100326): 100326. doi:10.1016/j.jbef.2020.100326.
   Web of Science ®Google Scholar
• Allen, F., S. Morris, and H. S. Shin. 2006. “Beauty contests and iterated expectations in asset markets.” The review of financial studies 19 (3): 719–752. doi:10.1093/rfs/hhj036.
   Web of Science ®Google Scholar
• Boehmer, E., and J. Wu. 2013. “Short Selling and the Price Discovery Process.” The review of financial studies 26 (2): 287–322. doi:10.1093/rfs/hhs097.
   Web of Science ®Google Scholar
• Bond, P., and I. Goldstein. 2015. “Government Intervention and Information Aggregation by Prices.” The Journal of finance 70 (6): 2777–2812. doi:10.1111/jofi.12303.
   Web of Science ®Google Scholar
• Bouri, E., M. A. Naeem, S. M. Nor, I. Mbarki, and T. Saeed. 2022. “Government responses to COVID-19 and industry stock returns.” Economic Research-Ekonomska Istrazivanja 35 (1): 1967–1990. doi:10.1080/1331677X.2021.1929374.
   Web of Science ®Google Scholar
• Bris, A., W. N. Goetzmann, and N. Zhu. 2007. “Efficiency and the bear: Short sales and markets around the world.” The Journal of finance 62 (3): 1029–1079. doi:10.1111/j.1540-6261.2007.01230.x.
   Web of Science ®Google Scholar
• Brunnermeier, M. K., M. Sockin, and W. Xiong. 2022. “China’s Model of Managing the Financial System.” Review of economic studies 89 (6): 3115–3153. doi:10.1093/restud/rdab098.
   Web of Science ®Google Scholar
• Chakrabarti, P., M. S. Jawed, and M. Sarkhel. 2021. “COVID-19 pandemic and global financial market interlinkages: a dynamic temporal network analysis.” Applied economics 53 (25): 2930–2945. doi:10.1080/00036846.2020.1870654.
   Web of Science ®Google Scholar
• Chang, C. L., M. McAleer, and W. K. Wong. 2020. “Risk and Financial Management of COVID-19 in Business, Economics and Finance.” Journal of Risk and Financial Management 13 (5): 102. doi:10.3390/jrfm13050102.
   Web of Science ®Google Scholar
• Durnev, A., R. Morck, B. Yeung, and P. Zarowin. 2003. “Does greater firm-specific return variation mean more or less informed stock pricing?.” Journal of Accounting Research 41 (5): 797–836. doi:10.1046/j.1475-679X.2003.00124.x.
   Web of Science ®Google Scholar
• Fernandes, L. H. S., F. H. A. De Araujo, J. W. L. Silva, I. E. M. Silva, and B. M. Tabak. 2022. “EVALUATING THE EFFICIENCY OF BRAZILIAN STOCK MARKET INDICES: THE CASE OF COVID-19.” Fractals-Complex Geometry Patterns and Scaling in Nature and Society 30 (01). doi:10.1142/S0218348X22500141.
   Web of Science ®Google Scholar
• Frezza, M., S. Bianchi, and A. Pianese. 2021. “Fractal analysis of market (in)efficiency during the COVID-19.” Finance Research Letters 38: 38. doi:10.1016/j.frl.2020.101851.
   Web of Science ®Google Scholar
• Grossman, S. J., and J. E. Stiglitz. 1980. “On the Impossibility of Informationally Efficient Markets.” The American economic review 70 (3): 393–408.
   Web of Science ®Google Scholar
• Heckelman, J. C., and H. Berument. 1998. “Political business cycles and endogenous elections.” Southern economic journal 64 (4): 987–1000. doi:10.1002/j.2325-8012.1998.tb00115.x.
   Web of Science ®Google Scholar
• He, Q., and C. Fang. 2019. “Regulatory sanctions and stock pricing efficiency: Evidence from the Chinese stock market.” Pacific-Basin Finance Journal 58: 101241. doi:10.1016/j.pacfin.2019.101241.
   Web of Science ®Google Scholar
• Hellwig, M. F. 1980. “On the Aggregation of Information in Competitive Markets.” Journal of economic theory 22 (3): 477–498. doi:10.1016/0022-0531(80)90056-3.
   Web of Science ®Google Scholar
• Hou, K. W., and T. J. Moskowitz. 2005. “Market frictions, price delay, and the cross-section of expected returns.” The review of financial studies 18 (3): 981–1020. doi:10.1093/rfs/hhi023.
   Web of Science ®Google Scholar
• Huang, Y., J. J. Miao, and P. F. Wang. 2019. “Saving China’s Stock Market?.” IMF Economic Review 67 (2): 349–394. doi:10.1057/s41308-019-00079-z.
   Web of Science ®Google Scholar
• Huang, S. A., Z. G. Qiu, G. W. Wang, and X. D. Wang. 2022. “Government intervention through informed trading in financial markets.” Journal of Economic Dynamics & Control 141: 104379. doi:10.1016/j.jedc.2022.104379.
   Web of Science ®Google Scholar
• Huo, X. L., and Z. G. Qiu. 2020. “How does China’s stock market react to the announcement of the COVID-19 pandemic lockdown?.” Economic and Political Studies-Eps 8 (4): 436–461. doi:10.1080/20954816.2020.1780695.
   Web of Science ®Google Scholar
• Le, T. H., H. Xuan, D. K. Nguyen, and A. Sensoy. 2021. “Covid-19 pandemic and tail-dependency networks of financial assets.” Finance Research Letters 38: 101800. doi:10.1016/j.frl.2020.101800.
   PubMed Web of Science ®Google Scholar
• Li, Z., and L. Jin. 2019. “Spatial and temporal distribution of the cloud optical depth over China based on MODIS satellite data during 2003–2016.” Journal of Environmental Sciences 80 (9): 66–80. doi:10.1016/j.jes.2018.08.010.
   Web of Science ®Google Scholar
• Liu, Z. F., T. L. D. Huynh, and P. F. Dai. 2021. “The impact of COVID-19 on the stock market crash risk in China.” Research in International Business and Finance 57: 101419. doi:10.1016/j.ribaf.2021.101419.
   PubMed Web of Science ®Google Scholar
• Liu, N. N., Z. S. Xu, and M. Skare. 2021. “The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics.” Oeconomia Copernicana 12 (2): 217–268. doi:10.24136/oc.2021.009.
   Web of Science ®Google Scholar
• Li, P. R., X. H. Yuan, and L. W. Jin. 2022. “Government direct intervention and stock market concentration.” Applied economics 1–12. doi:10.1080/00036846.2022.2107609.
   Web of Science ®Google Scholar
• Long, Y. E., and X. Y. Huang. 2020. “Do equity incentives for the managements have impact on stock-pricing efficiency? Evidence from China.” International Journal of Accounting and Information Management 28 (4): 703–715. doi:10.1108/IJAIM-03-2020-0031.
   Web of Science ®Google Scholar
• Maddala, G. S., and S. W. Wu. 1999. “A comparative study of unit root tests with panel data and a new simple test.” Oxford bulletin of economics and statistics 61 (S1): 631–652. doi:10.1111/1468-0084.0610s1631.
   Google Scholar
• Mensi, W., Y. J. Lee, X. V. Vo, and S. M. Yoon. 2021. “Does oil price variability affect the long memory and weak form efficiency of stock markets in top oil producers and oil Consumers? Evidence from an asymmetric MF-DFA approach.” The North American Journal of Economics and Finance 57: 101446. doi:10.1016/j.najef.2021.101446.
   Web of Science ®Google Scholar
• Naseem, S., M. Mohsin, W. Hui, L. Y. Geng, and K. Penglai. 2021. “The Investor Psychology and Stock Market Behavior During the Initial Era of COVID-19: A Study of China, Japan, and the United States.” Frontiers in psychology 12. doi:10.3389/fpsyg.2021.626934.
   Web of Science ®Google Scholar
• Noda, A. 2016. “A test of the adaptive market hypothesis using a time-varying AR model in Japan.” Finance Research Letters 17: 66–71. doi:10.1016/j.frl.2016.01.004.
   Web of Science ®Google Scholar
• Ozkan, O. 2021. “Impact of COVID-19 on stock market efficiency: Evidence from developed countries.” Research in International Business and Finance 58: 101445. doi:10.1016/j.ribaf.2021.101445.
   PubMed Web of Science ®Google Scholar
• Qian, M. F., P. W. Sun, and B. Yu. 2018. “Top managerial power and stock price efficiency: Evidence from China.” Pacific-Basin Finance Journal 47: 20–38. doi:10.1016/j.pacfin.2017.11.004.
   Web of Science ®Google Scholar
• Qin, X. H., G. L. Huang, H. Y. Shen, and M. Y. Fu. 2020. “COVID-19 Pandemic and Firm-level Cash Holding-Moderating Effect of Goodwill and Goodwill Impairment.” Emerging Markets Finance and Trade 56 (10): 2243–2258. doi:10.1080/1540496X.2020.1785864.
   Web of Science ®Google Scholar
• Saffi, P. A. C., and K. Sigurdsson. 2011. “Price Efficiency and Short Selling.” The review of financial studies 24 (3): 821–852. doi:10.1093/rfs/hhq124.
   Web of Science ®Google Scholar
• Sanderson, E., and F. Windmeijer. 2016. “A weak instrument F-test in linear IV models with multiple endogenous variables.” Journal of econometrics 190 (2): 212–221. doi:10.1016/j.jeconom.2015.06.004.
   PubMed Web of Science ®Google Scholar
• Shahzad, S. J. H., M. A. Naeem, Z. Peng, and E. Bouri. 2021. “Asymmetric volatility spillover among Chinese sectors during COVID-19.” International review of Financial Analysis 75: 101754. doi:10.1016/j.irfa.2021.101754.
   PubMed Web of Science ®Google Scholar
• Shen, H. Y., M. Y. Fu, H. Y. Pan, Z. F. Yu, and Y. Q. Chen. 2020. “The Impact of the COVID-19 Pandemic on Firm Performance.” Emerging Markets Finance and Trade 56 (10): 2213–2230. doi:10.1080/1540496X.2020.1785863.
   Web of Science ®Google Scholar
• Sun, P. W., Y. F. Shen, M. F. Qian, and W. Yan. 2021. “Risk of holding stocks with liquidity sensitive to market uncertainty: evidence from China.” Accounting & Finance 61 (S1): 1993–2029. doi:10.1111/acfi.12650.
   Web of Science ®Google Scholar
• Tran, V. L., and T. Leirvik. 2019. “A simple but powerful measure of market efficiency.” Finance Research Letters 29: 141–151. doi:10.1016/j.frl.2019.03.004.
   Web of Science ®Google Scholar
• Vasileiou, E. 2021. “Behavioral finance and market efficiency in the time of the COVID-19 pandemic: does fear drive the market?.” International Review of Applied Economics 35 (2): 224–241. doi:10.1080/02692171.2020.1864301.
   Web of Science ®Google Scholar