Differentiation of Beta Coefficients during COVID-19 Pandemic – the Example of Stocks of the Largest Companies Listed on the Warsaw Stock Exchange
DOI:
https://doi.org/10.15678/ZNUEK.2022.0998.0401Keywords:
interval effect, beta coefficient, COVID-19, Warsaw Stock Exchange, sharesAbstract
Objective: The article seeks to determine whether the occurrence of the interval effect of beta coefficients (β) occurred among chosen shares in Warsaw Stock Exchange Index (WIG) during the COVID-19 pandemic.
Research Design & Methods: The article seeks to determine whether in 2020 and 2021 (when the COVID-19 pandemic was spreading globally) it was possible to observe other levels of the β for chosen companies traded on the WIG. It examines a different approach to estimating returns of the companies’ shares (daily, weekly, biweekly and monthly). β coefficients are calculated with the ordinary least squares method (OLS) on the research sample of issuers traded on the three main Warsaw Stock Exchange (WSE) indices: WIG20, mWIG40 and sWIG80.
Findings: The values of the β coefficients, calculated for different time horizons of returns (daily, weekly, biweekly and monthly) showed significant differences. These differences were statistically significant for pairs of β calculated for daily and weekly/biweekly/monthly returns, as well as for weekly and biweekly ones. Moreover, it was noted that the interval effect is invariably stronger for companies with lower capitalisation. The β increased for companies with the highest level of capitalisation as the time interval of returns was extended, which the literature has to this point reported only for Asian markets in crisis years.
Implications / Recommendations: The results indicate that the COVID-19 pandemic did not influence the occurrence of the interval effect observed on the Polish capital market earlier, and only slightly changed some of its detailed characteristics. However, the differentiation of the β (depending on the time horizon of returns used to calculate it) does not make it an effective measure of the risk of investing in securities.
Contribution: Conducting research on the occurrence of the interval effect on the WSE during the COVID-19 pandemic will contribute to the knowledge base of capital market participants, particularly on the use of β to measure systematic risk in times of instability on capital markets. Understanding this issue in the context of investing funds on the WSE will be useful for those seeking to adjust investment portfolios to the changing realities of the Polish capital market.
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References
Blume M. E. (1975), Betas and Their Regression Tendencies, “The Journal of Finance”, vol. 30(3), https://doi.org/10.1111/j.1540-6261.1975.tb01850.x.
Brailsford T. J., Josev T. (1997), The Impact of the Return Interval on the Estimation of Systematic Risk, “Pacific-Basin Finance Journal”, vol. 5(3), https://doi.org/10.1016/S0927-538X(97)00006-1.
Brzeszczyński J., Gajdka J., Schabek T. (2011), The Role of Stock Size and Trading Intensity in the Magnitude of the Interval Effect in Beta Estimation: Empirical Evidence from the Polish Capital Market, “Emerging Markets Finance and Trade”, vol. 47(1), https://doi.org/10.2753/REE1540-496X470102.
Cakici N., Zaremba A. (2021), Who Should Be Afraid of Infections? Pandemic Exposure and the Cross-section of Stock Returns, “Journal of International Financial Markets, Institutions and Money”, vol. 72, https://doi.org/10.1016/j.intfin.2021.101333.
Cao K. H., Woo C. K., Li Y., Liu Y. (2022), Covid-19’s Effect on the Alpha and Beta of a US Stock Exchange Traded Fund, “Applied Economics Letters”, vol. 29(2), https://doi.org/10.1080/13504851.2020.1859447.
Choudhry T., Lu L., Peng K. (2010), Time-varying Beta and the Asian Financial Crisis: Evidence from the Asian Industrial Sectors, “Japan and the World Economy”, vol. 22(4), https://doi.org/10.1016/j.japwor.2010.06.003.
Corhay A. (1992), The Intervalling Effect Bias in Beta: A Note, “Journal of Banking & Finance”, vol. 16(1), https://doi.org/10.1016/0378-4266(92)90078-E.
D’Agostino R. B., Belanger A., D’Agostino R. B. Jr. (1990), A Suggestion for Using Powerful and Informative Tests of Normality, “The American Statistician”, vol. 44(4), https://doi.org/10.2307/2684359.
Damodaran A. (1999), Estimating Risk Parameters, Stern School of Business, New York.
Daves P. R., Ehrhardt M. C., Kunkel R. A. (2000), Estimating Systematic Risk: The Choice of Return Interval and Estimation Period, “Journal of Financial and Strategic Decisions”, vol. 13(1).
Dębski W., Feder-Sempach E., Świderski B. (2015), Intervalling Effect on Estimating the Beta Parameter for the Largest Companies on the WSE, “Folia Oeconomica Stetinensia”, vol. 14(2), https://doi.org/10.1515/foli-2015-0018.
Diacogiannis G., Makri P. (2008), Estimating Betas in Thinner Markets: The Case of the Athens Stock Exchange, “International Research Journal of Finance and Economics”, no. 13.
Feder-Sempach E. (2017), Efekt interwału w oszacowaniach współczynnika beta na podstawie akcji spółek z indeksu WIG20 i DAX w okresie 2005–2015 – analiza porównawcza, “Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach”, no. 325.
Feder-Sempach E., Szczepocki P. (2022), The Bayesian Method in Estimating Polish and German Industry Betas. A Comparative Analysis of the Risk between the Main Economic Sectors from 2001–2020, “Comparative Economic Research. Central and Eastern Europe”, vol. 25(2), https://doi.org/10.18778/1508-2008.25.12.
Gerald B. (2018), A Brief Review of Independent, Dependent and One Sample t-test, “International Journal of Applied Mathematics and Theoretical Physics”, vol. 4(2), https://doi.org/10.11648/j.ijamtp.20180402.13.
Gray S., Hall J., Bowman J., Brailsford T., Faff R., Officer B. (2005), The Performance of Alternative Techniques for Estimating Equity Betas of Australian Firms, Report Prepared for the Energy Networks Association, htttp://www.qea.org.au/files (accessed: 4.05.2022).
Handa P., Kothari S. P., Wasley C. (1989), The Relation between the Return Interval and Betas: Implications for the Size Effect, “Journal of Financial Economics”, vol. 23(1), https://doi.org/10.1016/0304-405X(89)90006-8.
Haroon O., Moshin A., Khan A., Khattak M. A., Rizvi S. A. R. (2021), Financial Market Risks during the COVID-19 Pandemic, “Emerging Markets Finance and Trade”, vol. 57(8). https://doi.org/10.1080/1540496X.2021.1873765.
Hawawini G. (1983), Why Beta Shifts as the Return Interval Changes, “Financial Analysts Journal”, vol. 39(3), https://doi.org/10.2469/faj.v39.n3.73.
Hong K. (2016), Is a Larger Equity Market More Information Efficient? Evidence from Intervalling Effect, “Risk Governance & Control: Financial Markets & Institutions”, vol. 6(3), https://doi.org/10.22495/rcgv6i3art6.
Jacobsen B., Dannenburg D. (2003), Volatility Clustering in Monthly Stock Returns, “Journal of Empirical Finance”, vol. 10(4), https://doi.org/10.1016/S0927-5398(02)00071-3.
Jain S. (2022), Betas in the Time of Corona: A Conditional CAPM Approach Using Multivariate GARCH Model for India, “Managerial Finance”, vol. 48(2), https://doi.org/10.1108/mf-05-2021-0226.
Jóźwicki R., Trippner P., Kłos K. (2021), Algorithmic Trading and Efficiency of Stock Market in Poland, “Finanse i Prawo Finansowe”, vol. 2(30), http://dx.doi.org/10.18778/2391-6478.2.30.05.
Kornacki A., Wesołowska-Janczarek M. (2008), O weryfikowaniu poprawności matematycznych modeli procesów w oparciu o dane empiryczne, “Problemy Inżynierii Rolniczej”, no. 3.
Kyun T. K. (2015), T Test as a Parametric Statistic, “Korean Journal of Anesthesiology”, vol. 68(6), https://doi.org/10.4097/kjae.2015.68.6.540.
Liau Y. S. (2016), Beta Asymmetry in the Global Stock Markets Following the Subprime Mortgage Crisis, “Emerging Markets Finance and Trade”, vol. 52(9), https://doi.org/10.1080/1540496X.2015.1068613.
Lisicki B. (2017), Application of Blume Method in Forecasting Risk on the Example of Public Companies Listed on WIG20, “Scientific Journal WSFiP”, no. 3, https://doi.org/10.19192/wsfip.sj3.2017.2.
Lisicki B. (2019), Poziomy współczynnika beta spółek indeksu RESPECT oszacowane w warunkach zróżnicowanego podejścia do stopy zwrotu, “Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach”, no. 382.
Lisicki B. (2022), The Interval Effect during the COVID-19 Pandemic – the Case of the Warsaw Stock Exchange (in:) 6th FEB International Scientific Conference. Challenges in Economics and Business in the Post Covid Times, Z. Nadelko (ed.), University of Maribor, Maribor, Slovenia.
López Herrera F., González Maiz Jiménez J., Reyes Santiago A. (2022), Forecasting Performance of Different Betas: Mexican Stocks before and during the COVID-19 Pandemic, “Emerging Markets Finance and Trade”, vol. 58(13), https://doi.org/10.1080/1540496X.2022.2073813.
Michalak A. (2020), Methodology of Parametrization of Systematic Risk in Enterprises Not Listed on the Capital Market, “Scientific Papers of Silesian University of Technology”, no. 144, https://doi.org/10.29119/1641-3466.2020.144.27.
Milonas N. T., Rompotis G. G. (2013), Does Intervalling Effect Affect ETFs?, “Managerial Finance”, vol. 39(9), https://doi.org/10.1108/MF-01-2010-0004.
Olbryś J. (2014a), Efekt przedziałowy parametru ryzyka systematycznego na GPW w Warszawie SA, “Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu”, no. 371.
Olbryś J. (2014b), Efekt przedziałowy współczynnika determinacji modelu rynku, “Optimum. Studia Ekonomiczne”, no. 2(68).
Olbryś J., Majewska E. (2017), Asymmetry Effects in Volatility on the Major European Stock Markets: The EGARCH Based Approach, “Quantitative Finance and Economics”, vol. 1(4), https://doi.org/10.3934/QFE.2017.4.411.
Oprea D. S. (2015), The Interval Effect in Estimating Beta: Empirical Evidence from the Romanian Stock Market, “The Review of Finance and Banking”, vol. 7(2).
Pogue G. A., Solnik B. H. (1974), The Market Model Applied to European Common Stocks: Some Empirical Results, “Journal of Financial and Quantitative Analysis”, vol. 9(6), https://doi.org/10.2307/2329728.
Rizvi S.A.R., Arshad S. (2018), Understanding Time-varying Systematic Risks in Islamic and Conventional Sectoral Indices, “Economic Modelling”, vol. 70, https://doi.org/10.1016/j.econmod.2017.10.011.
Ruiz Estrada M. A., Koutronas E., Lee M. (2021), Stagpression: The Economic and Financial Impact of the COVID-19 Pandemic, “Contemporary Economics”, vol. 15(1), http://dx.doi.org/10.5709/ce.1897-9254.433.
Rydzewska A. (2016), Contemporary Nature or Stock Exchange in View of the Process of Demutualization, “Oeconomia Copernicana”, vol. 7(1), https://doi.org/10.12775/OeC.2016.004.
Scholes M., Williams J. (1977), Estimating Beta from Non-synchronous Data, “Journal of Financial Economics”, vol. 5(3), https://doi.org/10.1016/0304-405X(77)90041-1.
Sharpe W. F. (1963), A Simplified Model for Portfolio Analysis, “Management Science”, vol. 9(2), http://dx.doi.org/10.1287/mnsc.9.2.277.
Slimane I. B., Bellalah M., Rijba H. (2017), Time-varying Beta during the 2008 Financial Crisis – Evidence from North America and Western Europe, “Journal of Risk Finance”, vol. 18(4), https://doi.org/10.1108/JRF-02-2017-0020.
Stooq (2022), Historical Quotations of Companies, https://stooq.pl/t/?i=523 (accessed: 22–29.04.2022).
Taleb N. N. (2010), The Black Swan: The Impact of the Highly Improbable, Penguin, London.
Thakur S. (2020), Effect of COVID-19 on Capital Market with Reference to S&P 500, “International Journal of Advanced Research”, vol. 8(6), http://dx.doi.org/10.21474/IJAR01/11203.
Warsaw Stock Exchange (2020), Historical Index Portfolios, https://gpwbenchmark.pl/en-historyczne-portfele (accessed: 22.04.2022).
WHO (2020), WHO Director-General’s Opening Remarks at the Media Briefing on COVID-19 – 11 March 2020, https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19-11-march-2020 (accessed: 21.04.2022).
Wiśniewska-Kuźma M. (2020), Impact of the Covid-19 Pandemic on the Market Value of Companies from Polish New Connect Market, “Torun Business Review”, vol. 19(3), https://doi.org/10.19197/tbr.v19i3.324.
Zhang D., Hu M., Ji Q. (2020), Financial Markets under the Global Pandemic of COVID-19, “Finance Research Letters”, vol. 36, https://doi.org/10.1016/j.frl.2020.101528.
Żebrowska-Suchodolska D., Karpio A., Kompa K. (2021), COVID-19 Pandemic: Stock Markets Situation in European Ex-communist Countries, “European Research Studies Journal”, vol. 24(3), http://dx.doi.org/10.35808/ersj/2408.
