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CHANGING RISK-RETURN CORRESPONDENCE DURING THE COVID-19 TURMOIL: EVIDENCE FROM POLISH STOCK MARKET

Abstract

The article examines the impact of the shock induced by COVID-19 on the Polish stock market. As an object of research, 18 shares of companies included in the WIG20 index were taken. The impact of the shock is examined in the context of changing “risk-return”
correspondence. Three-time intervals were used for the study: before the shock, shock, in fact, aftershock. For the shock in fact period, two parameters have been introduced, which in pairs describe the “reaction” of stocks to a shock. These are shock deepness and recovery rate parameters. A linear type of regression relationship between them is identified. In the periods “before shock” and “aftershock”, “risk-return” correspondence is considered in terms of two approaches: variability and Value-at-Risk. Both approaches show an increased risk in the post-shock period but to varying degrees. The first approach shows an increase to a greater extent than the second. An explanation of this observation is given. The dynamics of changes in liquidity in terms of the average daily trading volume is considered complementary. The investigated dynamics shows an increase in trading volumes directly in the shock and post-shock periods. The explanation for this is considered in the aspect of reformatting by investors of their portfolios.

Keywords:

risk measurement, COVID-19, shock, portfolio management, investment, stock market

Details

Issue
Vol. 1 No. 32 (2021)
Section
Research article
Published
2021-06-30
DOI:
https://doi.org/10.19253/reme.2021.01.002
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access journal, all articles are distributed under the terms of the Creative Commons (CC BY 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/). You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. 

Authors

  • Andrii Kaminskyi

    Taras Shevchenko National University of Kyiv, Faculty of Economics, Department of Economic Cybernetics,
  • Marina Nehrey

    National University of Life and Environment Science of Ukraine

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