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During the SARS-CoV-2 (COIVD-19) outbreak, China repeatedly stressed that the response to the pandemic required action at all levels of government, including the issuance of Pandemic Bonds to help the country return to work and production. However, studies on the effectiveness of Pandemic Bonds during that period are rare. Starting with China’s national financial bond market data after COVID-19 in 2020, this paper focuses on the correlation between the Credit Spreads of the relevant bonds and the corresponding bond market rate of return, based on the Copula model. The empirical analysis is also carried out for multiple dimensional groupings such as enterprises, industries, provinces, and bond maturities. The results show that there is a significant positive correlation between the Credit Spreads of Pandemic Bonds and market returns. In addition, the market correlation is higher for Pandemic Bonds issued in Hubei Province, which is at the center of the 2020 pandemic, and the shorter the maturity of the Pandemic Bond issued, the stronger the relationship with market returns. Finally, this paper provides recommendations for financial regulators and policy makers to consider in their decisions on how to build a more resilient financial system under heavy economic, fiscal, and social pressures.
During the SARS-CoV-2 (COIVD-19) outbreak, China repeatedly stressed that the response to the pandemic required action at all levels of government, including the issuance of Pandemic Bonds to help the country return to work and production. However, studies on the effectiveness of Pandemic Bonds during that period are rare. Starting with China’s national financial bond market data after COVID-19 in 2020, this paper focuses on the correlation between the Credit Spreads of the relevant bonds and the corresponding bond market rate of return, based on the Copula model. The empirical analysis is also carried out for multiple dimensional groupings such as enterprises, industries, provinces, and bond maturities. The results show that there is a significant positive correlation between the Credit Spreads of Pandemic Bonds and market returns. In addition, the market correlation is higher for Pandemic Bonds issued in Hubei Province, which is at the center of the 2020 pandemic, and the shorter the maturity of the Pandemic Bond issued, the stronger the relationship with market returns. Finally, this paper provides recommendations for financial regulators and policy makers to consider in their decisions on how to build a more resilient financial system under heavy economic, fiscal, and social pressures.
N. Shi, Y. Wang, and W. Chen, Many hands make light work: Evidence from China’s anti-epidemic bonds, Economic Letters, vol. 214, p. 110426, 2022.
O. Jonas, Pandemic bonds: Designed to fail in Ebola, Nature, vol. 572, p. 285, 2019.
F. Liu, D. Kong, Z. Xiao, X. Zhang, A. Zhou, and J. Qi, Effect of economic policies on the stock and bond market under the impact of COVID-19, Journal of Safety Science and Resilience, vol. 3, no. 1, pp. 24–38, 2022.
B. N. Ashraf, Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets, Journal of Behavioral and Experimental Finance, vol. 27, p. 100371, 2020.
D. Zhang, M. Hu, and Q. Ji, Financial markets under the global pandemic of COVID-19, Finance Research Letters, vol. 36, p. 101528, 2020.
B. N. Ashraf, Stock markets’ reaction to COVID-19: Cases or fatalities, Research in International Business and Finance, vol. 54, p. 101249, 2020.
V. Guerrieri, G. Lorenzoni, L. Straub, and I. Werning, Macroeconomic implications of COVID-19: Can negative supply shocks cause demand shortages, American Economic Review, vol. 112, no. 5, pp. 1437–1474, 2022.
M. Koren and R. Pető, Business disruptions from social distancing, PLoS One, vol. 15, no. 9, p. e0239113, 2020.
W. Strielkowski, I. Firsova, I. Lukashenko, J. Raudeliūnienė, and M. Tvaronavičienė, Effective management of energy consumption during the COVID-19 pandemic: The role of ICT solutions, Energies, vol. 14, no. 4, p. 893, 2021.
A. Zaremba, R. Kizys, D. Y. Aharon, and Z. Umar, Term spreads and the COVID-19 pandemic: Evidence from international sovereign bond markets, Finance Research Letters, vol. 44, p. 102042, 2022.
X. J. Liu and W. Liu, Exploring the path of bond financing for local AMCs in China under the new crown pneumonia epidemic, Special Economic Zone, no. 12, pp. 43–47, 2020.
J. C. Rodriguez, Measuring financial contagion: A copula approach, Journal of Empirical Finance, vol. 14, no. 3, pp. 401–423, 2007.
S. Bonhomme and J. -M. Robin, Assessing the equalizing force of mobility using short panels: France, 1990–2000, The Review of Economic Studies, vol. 76, no. 1, pp. 63–92, 2009.
P. Christoffersen and H. Langlois, The joint dynamics of equity market factors, Journal of Financial and Quantitative Analysis, vol. 48, no. 5, pp. 1371–1404, 2013.
D. X. Li, On default correlation: A copula function approach, The Journal of Fixed Income, vol. 9, no. 4, pp. 43–54, 2000.
S. M. Bartram, S. J. Taylor, and Y. -H. Wang, The Euro and European financial market dependence, Journal of Banking&Finance, vol. 31, no. 5, pp. 1461–1481, 2007.
This work was supported by the National Natural Science Foundation of China (No. 72042004), the Research Project of Shanghai Science and Technology 26 Commission (No. 20dz2260300), and the Fundamental Research Funds for the Central 27 Universities.
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