Rui Dias – School of Business and Administration, Polytechnic Institute of SetΓΊbal, Portugal; CEFAGE-UE, IIFA, University of Γvora, Portugal
Catarina RevezΒ – School of Business and Administration, Polytechnic Institute of SetΓΊbal, Portugal
Nicole Horta – School of Business and Administration, Polytechnic Institute of SetΓΊbal, Portugal
Paula HeliodoroΒ – School of Business and Administration, Polytechnic Institute of SetΓΊbal, Portugal
Paulo Alexandre – School of Business and Administration, Polytechnic Institute of SetΓΊbal, Portugal
Keywords:Β Β Β Β Β Β Β Β Β Β Β Contagion effects;
Russian-Ukrainian invasion;
Portfolio diversification
DOI: https://doi.org/10.31410/ERAZ.2022.71
Abstract: On February 24th, 2022, Russia launched a full-scale military inΒvasion against Ukraine, marking a sharp escalation to a conflict that began in 2014. Several analysts have called the invasion the largest military invaΒsion in Europe since World War II. Considering these events this paper aims to test the efficient market hypothesis, in its weak form, in the capital marΒkets of Hungary (BUX), Croatia (CROBEX), Russia (IMOEX), the Czech RepubΒlic (PX PRAGUE), Slovenia (SBITOP), and Poland (WIG) over the period from April 25th, 2017, to April 22nd, 2022. The results show that the random walk hypothesis is not supported by the analyzed financial markets in this periΒod with the occurrence of the 2020 global pandemic and the Russian invaΒsion of Ukraine. The values of the variance ratios are less than unity, implyΒing that the returns are autocorrelated over time and mean-reverting, and no differences between the financial markets have been identified. This has implications for investors, since some returns may be expected, creating arΒbitrage opportunities and abnormal returns, contrary to the assumptions of random walk and informational efficiency. In conclusion, we believe that inΒvestors should eventually exercise some caution, at least while this uncerΒtainty persists, and invest in less risky markets to mitigate risk and improve the efficiency of their portfolios.


8th International Scientific ERAZ Conference β ERAZ 2022 β Conference Proceedings: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, Online-Virtual (Prague, Czech Republic), May 26, 2022
ERAZ Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ERAZ conference partners: Faculty of Economics and Business, Mediterranean University, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; AMBIS University, Prague – Czech Republic; Faculty of Applied Management, Economics and Finance β Belgrade, Serbia
ERAZ Conference 2022 Conference Proceedings: ISBN 978-86-80194-60-8, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.2022
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.Β
Sugested citation
Dias, R., Revez, C., Horta, N., Heliodoro, P., & Alexandre, P.Β (2022). Impact of Russiaβs Invasion of Ukraine on Central and Eastern European Capital Markets. In V. Bevanda (Ed.), ERAZ Conference – Knowlegde Based Sustainable Development: Vol 8. Conference Proceedings (pp. 71-86). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ERAZ.2022.71
References
Borges, M. R. (2010). Efficient market hypothesis in European stock markets. European JourΒnal of Finance, 16(7), 711β726. https://doi.org/10.1080/1351847X.2010.495477Β
Borges, M. R. (2011). Random walk tests for the Lisbon stock market. Applied Economics. https://doi.org/10.1080/00036840802584935Β
Caporale, G. M., Gil-Alana, L. A., & Poza, C. (2020). High and low prices and the range in the European stock markets: A long-memory approach. Research in International Business and Finance, 52. https://doi.org/10.1016/j.ribaf.2019.101126Β
Clemente, J., MontaΓ±Γ©s, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics Letters, 59(2), 175β182. https://doi.org/10.1016/S0165-1765(98)00052-4Β Β
Dias, R., Alexandre, P., Vasco, C., Heliodoro, P., & Santos, H. (2021). Random Walks and MarΒket Efficiency: Gold, Platinum, Silver Vs Asia Equity Markets. 5th EMAN Conference ProΒceedings (Part of EMAN Conference Collection), October, 55β70. https://doi.org/10.31410/eman.2021.55Β Β
Dias, R., Heliodoro, P., Alexandre, P., Santos, H., & Farinha, A. (2021). Long memory in stock returns: Evidence from the Eastern European markets. SHS Web of Conferences, 91. https://doi.org/10.1051/shsconf/20219101029Β Β
Dias, R., Heliodoro, P., Alexandre, P., Santos, H., & Vasco, C. (2021). Market Efficiency in Its Weak Form: the Pre-Covid and Covid Indonesia Analysis. 5th EMAN Conference ProΒceedings (Part of EMAN Conference Collection), October, 1β11. https://doi.org/10.31410/eman.2021.1Β
Dias, R., Heliodoro, P., Teixeira, N., & Godinho, T. (2020). Testing the Weak Form of EffiΒcient Market Hypothesis: Empirical Evidence from Equity Markets. International JourΒnal of Accounting, Finance and Risk Management, 5(1). https://doi.org/10.11648/j.ijafrm.20200501.14Β
Dias, R., Pereira, J. M., & Carvalho, L. C. (2022). Are African Stock Markets Efficient? A ComΒparative Analysis Between Six African Markets, the UK, Japan and the USA in the Period of the Pandemic. NaΕ‘e Gospodarstvo/Our Economy, 68(1), 35β51. https://doi.org/10.2478/ngoe-2022-0004Β
Dias, R., Santos, H., Alexandre, P., Heliodoro, P., & Vasco, C. (2021). Random Walks and MarΒket Efficiency Tests: Evidence for Us and African Capital Markets. 5th EMAN Selected Papers (Part of EMAN Conference Collection), October, 17β29. https://doi.org/10.31410/eman.s.p.2021.17Β
Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics JourΒnal. https://doi.org/10.1111/1368-423x.00043
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics. https://doi.org/10.1016/S0304-4076(03)00092-7Β
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and seΒrial independence of regression residuals. Economics Letters, 6(3), 255β259. https://doi.org/10.1016/0165-1765(80)90024-5Β Β
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-samΒple properties. Journal of Econometrics. https://doi.org/10.1016/S0304-4076(01)00098-7Β
Milos, L. R., Hatiegan, C., Milos, M. C., Barna, F. M., & Botoc, C. (2020). Multifractal detrendΒed fluctuation analysis (MF-DFA) of stock market indexes. Empirical evidence from seven central and eastern European markets. Sustainability (Switzerland). https://doi.org/10.3390/su12020535Β
Pardal, P., Dias, R. T., Santos, H., & Vasco, C. (2021). Central European Banking Sector InteΒgration and Shocks During the Global Pandemic (COVID-19). June, 272β288. https://doi.org/10.4018/978-1-7998-6926-9.ch015Β Β
Sensoy, A., & Tabak, B. M. (2015). Time-varying long term memory in the European UnΒion stock markets. Physica A: Statistical Mechanics and Its Applications. https://doi.org/10.1016/j.physa.2015.05.034Β Β
Smith, G., & Ryoo, H. J. (2003). Variance ratio tests of the random walk hypothesis for EuroΒpean emerging stock markets. European Journal of Finance, 9(3), 290β300. https://doi.org/10.1080/1351847021000025777Β Β
Wright, J. H. (2000). Alternative variance-ratio tests using ranks and signs. Journal of Business and Economic Statistics. https://doi.org/10.1080/07350015.2000.10524842Β
Zebende, G. F., Santos Dias, R. M. T., & de Aguiar, L. C. (2022). Stock market efficiency: An inΒtraday case of study about the G-20 group. Heliyon, 8(1), e08808. https://doi.org/10.1016/j. heliyon.2022.e08808