Rui Dias – School of Business and Administration, Polytechnic Institute of Setรบbal, Portugal; Center for Studies and Advanced Training in Management and Economics (CEFAGE), University of รvora, Portugal
Nicole Horta – School of Business and Administration, Polytechnic Institute of Setรบbal, Portugal
Mariana Chambino – School of Business and Administration, Polytechnic Institute of Setรบbal, Portugal
Paulo Alexandre – School of Business and Administration, Polytechnic Institute of Setรบbal, Portugal
Paula Heliodoro – School of Business and Administration, Polytechnic Institute of Setรบbal, Portugal
Keywords:
Russian invasion of Ukraine;
Econophysics;
Long memories;
Capital markets
Abstract
The analysis of stock market behaviour is still a very appealing topic because it can give investors information about where to invest their money. In this context, a dynamic investigaยญtion of Austria’s (ATX), Serbia’s (BELEX 15), Hungary’s (BUX), Croยญatia’s (CROBEX), Russia’s (IMOEX), Czech Republic’s (PX PRAGUE), Slovenia’s (SBITOP), and Poland’s (WIG) capital markets is carยญried out from September 18th, 2017, to September 15th, 2022. The results suggest that most indexes are far from being absent of long-term dependency, which may be interpreted as inefficiency; that is, throughout the Tranquil period, the stock market indexes SBI TOP (0.59), AEX (0.54), WIG (0.54), PRAGUE (0.53), and BELEX 15 (0.52) exhibit dependence over time. The CROBEX (0.47) and BUX (0.44) indexes indicate anti persistence, however, the Russian market shows equilibrium (0.49 โ 0.0126), indicating that the ranยญdom walk hypothesis is not rejected. When we look at the behavยญiour of the markets under consideration during the Stress subpeยญriod, we see that persistence was significantly higher in the capiยญtal markets under analysis, except for the Russian market, which demonstrates some equilibrium. To conclude, we suggest that policymakers must take a comprehensive approach to improve the efficiency of international financial markets during times of stress due to uncertainty in the global economy and its influence on the memory properties of capital markets.
ย ย Download file
LIMEN Conference
8th International Scientific-Business Conference – LIMEN 2022 – Leadership, Innovation, Management and Economics: Integrated Politics of Research – CONFERENCE PROCEEDINGS, Hybrid (EXE Budapest Center, Budapest, Hungary), December 1, 2022,
LIMEN Conference proceedings published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia
LIMEN Conference 2022 Conference proceedings: ISBN 978-86-80194-66-0, ISSN 2683-6149, DOI:ย https://doi.org/10.31410/LIMEN.2022
Creative Commons Nonย 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.ย
Suggested citation
Dias, R., Horta, N., Chambino, M., Alexandre, P., & Heliodoro, P. (2022). A Multiple Fluctuations and Detrending Analysis of Financial Market Efficiency: Comparison of Central and Eastern European Stock Indexes. In V. Bevanda (Ed.), International Scientific-Business Conference โ LIMEN 2022: Vol 8. Conference proceedingsย (pp. 11-21). Association of Economists and Managers of the Balkans.ย https://doi.org/10.31410/LIMEN.2022.11
References
Bagรฃo, M., Dias, R., Heliodoro, P., & Alexandre, P. (2020). the Impact of Covid-19 on Europe- an Financial Markets: an Empirical Analysis. 6th LIMEN Conference Proceedings (Part of LIMEN Conference Collection), 6, 1โ11. https://doi.org/10.31410/limen.2020.1
Borges, M. R. (2010). Efficient market hypothesis in European stock markets. European Jour- nal of Finance, 16(7). https://doi.org/10.1080/1351847X.2010.495477
Clemente, J., Montaรฑรฉs, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics Letters, 59(2), 175โ182. https://doi.org/10.1016/ ย S0165-1765(98)00052-4
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/20219101029
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 Pro- ceedings (Part of EMAN Conference Collection), October, 1โ11. https://doi.org/10.31410/eman.2021.1
Dias, R., Pardal, P., Teixeira, N., & Horta, N. (2022). Tail Risk and Return Predictability for Eu- rope’s Capital Markets: An Approach in Periods of the 2020 and 2022 Crises. https://doi.org/10.4018/978-1-6684-5666-8.ch015
Dias, R., Pereira, J. M., & Carvalho, L. C. (2022). Are African Stock Markets Efficient? A Com- parative Analysis Between Six African Markets, the UK, Japan and the USA in the Period of the Pandemic. Naลกe Gospodarstvo/Our Economy, 68(1), 35โ51. https://doi.org/10.2478/ngoe-2022-0004
Dias, R., & Santos, H. (2020a). Stock Market Efficiency in Africa: Evidence From Random Walk Hypothesis. 6th LIMEN Conference Proceedings (Part of LIMEN Conference Col- lection), 6(July), 25โ37. https://doi.org/10.31410/limen.2020.25
Dias, R., & Santos, H. (2020b). the Impact of Covid-19 on Exchange Rate Volatility: an Econo- physics Approach. 6th LIMEN Conference Proceedings (Part of LIMEN Conference Col- lection), 6, 39โ49. https://doi.org/10.31410/limen.2020.39
Dias, R. T., & Carvalho, L. (2021). Foreign Exchange Market Shocks in the Context of the Glob- al Pandemic (COVID-19). May, 359โ373. https://doi.org/10.4018/978-1-7998-6643-5.ch020
Dias, R. T., Pardal, P., Santos, H., & Vasco, C. (2021). Testing the Random Walk Hypothesis for Real Exchange Rates (Issue June, pp. 304โ322). https://doi.org/10.4018/978-1-7998-6926-9.ch017
Dickey, D., & Fuller, W. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057โ1072. https://doi.org/10.2307/1912517
Fama, E. F., & French, K. R. (1988). Dividend yields and expected stock returns. Journal of Fi- nancial Economics, 22(1). https://doi.org/10.1016/0304-405X(88)90020-7
Guedes, E. F., Santos, R. P. C., Figueredo, L. H. R., Da Silva, P. A., Dias, R. M. T. S., & Zebende, G. F. (2022). Efficiency and Long-Range Correlation in G-20 Stock Indexes: A Sliding Windows Approach. Fluctuation and Noise Letters. https://doi.org/10.1142/ S021947752250033X
Horta, N., Dias, R., Alexandre, P. M., & Heliodoro, P. A. (2022). CRYPTOCURRENCIES AND G7 CAPITAL MARKETS INTEGRATE IN PERIODS OF EXTREME VOLATILITY ? VOL. 10 NO. 3-4 (2022): JOURNAL OF PROCESS MANAGEMENT AND NEW TECHNOLOGIES. https://doi.org/10.5937/jpmnt10-41491
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)00092-7
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and se- rial independence of regression residuals. Economics Letters, 6(3). https://doi. org/10.1016/0165-1765(80)90024-5
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1). https://doi.org/10.1016/ S0304-4076(01)00098-7
Peng, C. K., Buldyrev, S. V., Havlin, S., Simons, M., Stanley, H. E., & Goldberger, A. L. (1994). Mosaic organization of DNA nucleotides. Physical Review E, 49(2), 1685โ1689. https://doi. org/10.1103/PhysRevE.49.1685
Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometri- ka, 75(2), 335โ346. https://doi.org/10.1093/biomet/75.2.335
Santos, H., Dias, R., Heliodoro, P., & Alexandre, P. (2020). Testing the Empirics of Weak Form of Efficient Market Hypothesis: Evidence From Lac Region Markets. Conference Proceedings (Part of ITEMA Conference Collection), 91โ101. https://doi.org/10.31410/ itema.2020.91v
Santos, H., Dias, R., Vasco, C., Alexandre, P., & Heliodoro, P. (2021). Has the Global Pan- demic of 2020 Led To Persistence in the Share Prices of Large Global Companies? 5th EMAN Selected Papers (Part of EMAN Conference Collection), October, 1โ15. https://doi. org/10.31410/eman.s.p.2021.1
Silva, R., Dias, R., Heliodoro, P., & Alexandre, P. (2020). Risk Diversification in Asean-5 Finan- cial Markets: an Empirical Analysis in the Context of the Global Pandemic (Covid-19). 6th LIMEN Selected Papers (Part of LIMEN Conference Collection), 6(July), 15โ26. https://doi.org/10.31410/limen.s.p.2020.15
Smith, G., & Ryoo, H. J. (2003). Variance ratio tests of the random walk hypothesis for Europe- an emerging stock markets. European Journal of Finance, 9(3). https://doi.org/10.1080/13 51847021000025777
Sun, M., Song, H., & Zhang, C. (2022). The Effects of 2022 Russian Invasion of Ukraine on Global Stock Markets: An Event Study Approach. SSRN Electronic Journal. https://doi. org/10.2139/ssrn.4051987
Teixeira, N., Dias, R., Pardal, P., & Horta, N. (2022). Financial Integration and Comovements Between Capital Markets and Oil Markets: An Approach During the Russian Invasion of Ukraine in 2022. https://doi.org/10.4018/978-1-6684-5666-8.ch013
Teixeira, N., Dias, R., Pardal, P., & Styles, L. (2022). The gold market as a safe haven when stock markets exhibit pronounced levels of risk : evidence during the China crisis and the COVID-19 pandemic. April, 27โ42.
Vasco, C., Pardal, P., & Dias, R. T. (2021). Do the Stock Market Indexes Follow a Random Walk? May, 389โ410. https://doi.org/10.4018/978-1-7998-6643-5.ch022
Zebende, G. F., Santos Dias, R. M. T., & de Aguiar, L. C. (2022). Stock market efficiency: An intraday case of study about the G-20 group. In Heliyon (Vol. 8, Issue 1). https://doi. org/10.1016/j.heliyon.2022.e08808