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Do the Outbreak of COVID-19 Influence the China Stock Market?

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Jak COVID-19 wpływa na chińską giełdę?
Języki publikacji
EN
Abstrakty
EN
This study aims at the impact outbreak of COVID-19 influence Chinese currency and stock market over the period December 2, 2019, to January 04, 2021. The Generalized Autoregressive Conditional Homoscedastic approach captures the most common stylized fact about index returns (such as multivariate to capture the Shanghai and Shenzhen stock exchange). Our finding shows the explosive process and risk premium for the Shenzhen stock exchange (SSE) and Shanghai stock exchange (SZSE) index. And the standard deviation depreciation of the Chinese currency during the COVID-19 equivalent to 0.46% improved stock market return by 81% average returns. These results explain that high volatility of index returns is present in the Chinese stock market over the sample period. According to the analysis results, it can be concluded that the number of new cases and the number of recent deaths have a significant effect on the stock market, causing uncertainty in the sustainability.
Czasopismo
Rocznik
Strony
59--68
Opis fizyczny
Bibliogr. 30 poz., fig., tab.
Twórcy
  • Jiangxi University of Finance and Economics, School of Statistics, Nanchang 330013, Jiangxi, China
  • Jiangxi University of Finance and Economics, School of Statistics, Nanchang 330013, Jiangxi, China
  • Jiangxi University of Finance and Economics, School of Statistics, Nanchang 330013, Jiangxi, China
autor
  • Jiangxi University of Finance and Economics, School of Statistics, Nanchang 330013, Jiangxi, China
  • Damietta University, Arab of Republic of Egypt
Bibliografia
  • 1. AL-AWADHI A.M., AL-SAIFI K., AL-AWADHI A., ALHAMADI S., 2020, Death and contagious infection diseases:Impact of the COVID-19 virus on stock market returns, J. Behav. Exp. Finance, 100326, DOI: 10.1016/j.jbef.2020.100326.
  • 2. APERGIS E., AND APERGIS N., 2020. Can the COVID-19 pandemic and oil price dive the US partisan conflict index?, Energy Research Letter, 1(1): 13144, DOI: 10.46557/001c.13144.
  • 3. BOLLERSLEV T., 1986, Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econometrics, 31:307-327.
  • 4. BRANSON W.H., 1983, Macroeconomic determinants of real exchange risk, Managing foreign exchange risk, ed. R.J. Herring R.J., Cambridge University Press, Cambridge: 33-74.
  • 5. CHEN C., LIU L., ZHAO N., 2020, Fear sentiment, uncertainty, and bitcoin price dynamics: Evidence from gold and cryptocurrencies, Journal of Finance Research Letters, 101554, DOI: 10.1016/j.frl.2020.101554.
  • 6. DICKEY D., FULLER W., 1981, Distribution of the estimators for Autoregressive time series with a unit root, Econometrica, 49: 1057-1072.
  • 7. DORNBUSCH R., FISHER S., 1980, Exchange rates and the current account, American Economic Review, 70: 960-971.
  • 8. ENDER W., 2004, Applied econometric time series, 2nd Ed, Wiley series in Probability and Statistics.
  • 9. ENGEL R., BOLLERSLEV T., 1982, Modeling the persistence of conditional variances, Econometric Reviews, 5: 1-50, DOI: 10.1080/07474938608800095.
  • 10. ENGEL R., LILIEN D., 1987, Estimating time varying risk premia in term structure: The ARCH-M model, Econometrica, 55: 391-407.
  • 11. FANG Y., YU B., WANG W., 2020, China's financial market risk measurement and controlling under COVID-19 shock, Journal of Central University of Finance &Economic, DOI:10.19681/j.cnki.jcufe.2020.08.010.
  • 12. FRANCKEL J.A., 1983, Monetary and portfolio-balance model of exchange rate determination, Economic interdependence and flexible exchange rates, eds. Bhandari J.S., Putnan BH., (Eds), MIT, Cambridge.
  • 13. GIL-ALAN L.A., 2020, Crude oil price and COVID-19: Persistence of shock, Energy Research Letter, 1(1): 13200, DOI:10.46557/001c.13200.
  • 14. GU X., YING S., ZHANG S.A.R., 2020, How do firms respond to COVID-19? First evidence from Suzhou, China, Emerging Market and Trade, 56 (10): 2151-2197, DOI: 10.1080/1540496X.2020.1784716.
  • 15. HAROON O., RIZVI S.A.R., 2020, Flatten the curve and stock market liquidity – An inquiry into emerging economies, Emerging Market Finance and Trade, 56(10): 2151-2197, DOI: doi.org/10.1080/1540496X.2020.1784716.
  • 16. HE P., SUN Z., LI. T., 2020, Accounting index of COVID-19 impact on Chinese industries: A case study using big data portrait analysis; Emerging Markets Finance and Trade, 56(10): 2332-2349, DOI: 10.1080/1540496X.2020.1785866.
  • 17. HE P., SUN Y., SUN Z., LI T., 2020, COVID-19's impact on stock market prices across different sectors – An event study based on the Chinese stock market, Emerging Markets Finance and Trade, 56(10): 2198-2212. DOI:10.1080/1540496x.2020.1785865.
  • 18. HUANG W., ZHENG Y., LI T., 2020, COVID-19: Structural changes in the relationship between investor sentiment and crude oil futures prices, Energy Research Letters, 1(2): 13685, DOI: 10.46557/001c.13685.
  • 19. IYKE B., 2020, COVID-19: The reaction of US oil and gas producers to pandemic, Energy Research Letters, 1(2): 13912, DOI: 1046557/001c.13912.
  • 20. LIU L., WANG E.Z., LEE C.C., 2020, Impact of the COVID-19 pandemic on the crude oil and stock markets in the US: A time-varying analysis, Energy Research Letters, 1(1): 13154, DOI: 10.46557/001c.13154.
  • 21. LIU L., D., SUN W., ZHANG X., 2020, Is the Chinese economy well positioned to fight the COVID-19 pandemic? The financial cycle perspective, Emerging Markets Finance and Trade, 56(10): 2259-2276, DOI: 10.1080/1540496X. 2020.1787152.
  • 22. PHILLIPS P.C.B., PERRON P., 1998, Testing for unit root in time series regression, Biometrika, 75: 335.
  • 23. POON S., 2005, A practical guide to forecasting financial market volatility, Wiley Finance, England.
  • 24. SHA Y., SHARMA, S.S., 2020, Research on pandemics special Issue of the Journal Emerging Markets Finance and Trade, Emerging Market Finance and Trade, 56: 2133-2137, DOI: 10.1080/154049X.2020.1795467.
  • 25. SHEN H., FU M., PAN H., YU Z., CHEN Y., 2020, The impact of the COVID-19 pandemic on firm performance, Emerging Market Finance and Trade, 56: 2133-2137, DOI: 10.1080/1540496X.2020.1785863.
  • 26. SUI L., SUN, L., 2016, Spillover effects between exchange rate and stock prices: Evidence from BRICS around the recent global financial crisis, Research in International Business and Finance, 36: 459-471, DOI: 10.1016/j.ribaf.2015.10.011.
  • 27. VIDYA C.T., PRABHEESH K.P., 2020, Implication of COVID-19 pandemic on the Global Trade networks, Emerging Markets Finance and Trade, 56(10): 2408-2421, DOI: 10.1080/1540496X.2020.1785426.
  • 28. WANG Y., ZHANG D., WANG X., FU Q., 2020, How does COVID-19 affect China's insurance Market?, Emerging Market Finance and Trade, 56(10): 2350-2362, DOI: 10.1080/1540496X.2020.1791074.
  • 29. YUE P., KORKMAZ A.G., ZHOU H., 2020, Household financial decision making amidst the COVID-19 pandemic, Emerging Market Finance and Trade, 56(10): 2363-2377, DOI: 10.1080/1540496X.2020.1787149.
  • 30. ZHANG D., HU M., JI Q., 2020, Financial market under the global pandemic of COVID-19, Finance Research Letters, 1011528.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e3714a57-c4e9-4bc2-ad96-afdfe1232ec9
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