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Did the S.A.R.S. epidemic weaken the integration of Asian stock markets? Evidence from smooth time-varying cointegration analysis

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  • Mei-Ping Chen
  • Chien-Chiang Lee
  • Yu-Hui Lin
  • Wen-Yi Chen

Abstract

The purpose of this study is to examine the effect of the Severe Acute Respiratory Syndrome (S.A.R.S.) epidemic on the long-run relationship between China and four Asian stock markets. To this end, we first employ the advanced smooth time-varying cointegration model to investigate the existence of a time-varying cointegration relation among these markets and then employ the difference-in-differences approach to analyse whether or not the S.A.R.S. epidemic impacted the long-run relation between China and these four markets during the period 1998–2008, covering 5 years before and after the S.A.R.S. outbreak. Our results support the existence of a time-varying cointegration relation in the aggregate stock price indices, and that the S.A.R.S. epidemic did weaken the long-run relationship between China and the four markets. Therefore, stockholders and policy makers should be concerned about the influence of catastrophic epidemic diseases on the financial integration of stock market in Asia.

Suggested Citation

  • Mei-Ping Chen & Chien-Chiang Lee & Yu-Hui Lin & Wen-Yi Chen, 2018. "Did the S.A.R.S. epidemic weaken the integration of Asian stock markets? Evidence from smooth time-varying cointegration analysis," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 31(1), pages 908-926, January.
    • Handle: RePEc:taf:reroxx:v:31:y:2018:i:1:p:908-926
    DOI: 10.1080/1331677X.2018.1456354
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    Cited by:

    1. Siyi Liu & Xin Liu & Chuancai Zhang & Lingli Zhang, 2023. "Institutional and individual investors' short‐term reactions to the COVID‐19 crisis in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4333-4355, December.
    2. Yener, Coskun & Akinsomi, Omokolade & Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2023. "Stock Market Responses to COVID-19: The Behaviors of Mean Reversion, Dependence and Persistence," MPRA Paper 117002, University Library of Munich, Germany.
    3. Müller, Fernanda Maria & Santos, Samuel Solgon & Righi, Marcelo Brutti, 2023. "A description of the COVID-19 outbreak role in financial risk forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    4. Talie Kassamany & Bernard Zgheib, 2023. "Impact of government policy responses of COVID‐19 pandemic on stock market liquidity for Australian companies," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 24-46, March.
    5. Isabel Carrillo-Hidalgo & Juan Ignacio Pulido-Fernández & José Luis Durán-Román & Jairo Casado-Montilla, 2023. "COVID-19 and tourism sector stock price in Spain: medium-term relationship through dynamic regression models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    6. Kwadwo Boateng Prempeh & Joseph Magnus Frimpong & Newman Amaning, 2023. "Determining the return volatility of the Ghana stock exchange before and during the COVID-19 pandemic using the exponential GARCH model," SN Business & Economics, Springer, vol. 3(1), pages 1-20, January.
    7. Xiuping Ji & Naipeng (Tom) Bu & Chen Zheng & Honggen Xiao & Caixia Liu & Xuesheng Chen & Kangping Wang, 2024. "Stock market reaction to the COVID-19 pandemic: an event study," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 167-186, January.
    8. Muhammad Kashif & Fatima Sultana & Muhammad Atif & Muhammad Aslam & Ammara Sarwar & Umar Farooq Awan & Muhammad Wasif Hanif, 2023. "COVID-19 Attack on Stock Markets: Event Study and Panel Data Analysis of Organization of Islamic Countries (OIC)," Journal of Economic Impact, Science Impact Publishers, vol. 5(1), pages 50-63.
    9. Ghareeb Ahmad, 2023. "Time Time Series Forecasting of Stock Price for Maritime Shipping Company in COVID-19 Period Using Multi-Step Long Short-Term Memory (LSTM) Networks," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1728-1747, July.
    10. Tingting Lan & Liuguo Shao & Hua Zhang & Caijun Yuan, 2023. "The impact of pandemic on dynamic volatility spillover network of international stock markets," Empirical Economics, Springer, vol. 65(5), pages 2115-2144, November.

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