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Liquidity Management and Stock Price Reactions in an Economic Crisis

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Prediction and Causality in Econometrics and Related Topics (ECONVN 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 983))

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Abstract

The COVID-19 outbreak badly hits worldwide economies by disrupting supply and demand. These disruptions negatively affect sales and make firms to face cash-flow insolvency threats. Hence, this paper examines if good liquidity management help to mitigate adverse reactions of stock prices to the COVID-19 crisis. Analyses highlight that firms with a high liquidity risk experience a decrease in their cumulative average abnormal return, which is more severe than low-liquidity-risk firms do. Also, firms with a high cash ratio do not appear to face cash-flow insolvency threats in this pandemic. Hence, their stock price does not experience a significant decrease, or their cumulative average abnormal return is not statistically different from zero.

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Notes

  1. 1.

    https://www.who.int/emergencies/diseases/novel-coronavirus-2019.

  2. 2.

    https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it.

  3. 3.

    https://www2.deloitte.com/us/en/insights/economy/global-economic-outlook/weekly-update.html.

  4. 4.

    http://mba.tuck.dartmouth.edu/pages/faculty/ken.french.

  5. 5.

    https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov).

  6. 6.

    https://www.nejm.org/doi/full/10.1056/NEJMoa2001191.

  7. 7.

    https://www.justsecurity.org/69650/timeline-of-the-coronavirus-pandemic-and-u-s-response/.

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Correspondence to Linh D. Nguyen .

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Appendix: Checking Convergence of MCMC of Parameter Estimates

Appendix: Checking Convergence of MCMC of Parameter Estimates

figure a

The displayed diagnostics include a trace plot, an autocorrelation plot, a histogram, and a kernel density estimate overlaid with densities estimated using the first and the second halves of the MCMC sample.

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Nguyen, L.D. (2022). Liquidity Management and Stock Price Reactions in an Economic Crisis. In: Ngoc Thach, N., Ha, D.T., Trung, N.D., Kreinovich, V. (eds) Prediction and Causality in Econometrics and Related Topics. ECONVN 2021. Studies in Computational Intelligence, vol 983. Springer, Cham. https://doi.org/10.1007/978-3-030-77094-5_18

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