Open Access Journal Article

Long-Term Dependencies in Central European Stock Markets: A Crisp-Set Analysis

by Rui Manuel Teixeira Dias a,* orcid Mariana Chambino b orcid  and  Nicole Rebolo Horta b orcid
a
Center for Studies and Advanced Training in Management and Economics (CEFAGE), University of Évora, Évora, Portugal
b
School of Business and Administration, Polytechnic Institute of Setúbal, Setúbal, Portugal
*
Author to whom correspondence should be addressed.
Received: 21 February 2023 / Accepted: 5 March 2023 / Published: 6 March 2023

Abstract

This paper intends to analyze efficiency, in its weak form, in the stock markets of Austria (ATX), Poland (WIG), the Czech Republic (PX Prague), Hungary (BUX), Croatia (CROBEX), Serbia (BELEX 15), Romania (BET), and Slovenia (SBI TOP), from February 16, 2018, to February 15, 2023. To achieve the research aim, we intend to answer the following research question: i) Have events in 2020 and 2022 heightened the persistence of Central European stock markets? Results suggest that persistence in returns has increased significantly during the first wave of Covid-19 and the Russian invasion in the year 2023, but we also saw that most stock markets already exhibit long memories, implying that the research question has been partially validated. This research can provide valuable insights to investors, policymakers, and others interested in financial risk management.


Copyright: © 2023 by Teixeira Dias, Chambino and Rebolo Horta. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Teixeira Dias, R. M.; Chambino, M.; Rebolo Horta, N. Long-Term Dependencies in Central European Stock Markets: A Crisp-Set Analysis. Economic Analysis Letters, 2023, 2, 12. https://doi.org/10.58567/eal02010002
AMA Style
Teixeira Dias R M, Chambino M, Rebolo Horta N. Long-Term Dependencies in Central European Stock Markets: A Crisp-Set Analysis. Economic Analysis Letters; 2023, 2(1):12. https://doi.org/10.58567/eal02010002
Chicago/Turabian Style
Teixeira Dias, Rui M.; Chambino, Mariana; Rebolo Horta, Nicole 2023. "Long-Term Dependencies in Central European Stock Markets: A Crisp-Set Analysis" Economic Analysis Letters 2, no.1: 12. https://doi.org/10.58567/eal02010002
APA style
Teixeira Dias, R. M., Chambino, M., & Rebolo Horta, N. (2023). Long-Term Dependencies in Central European Stock Markets: A Crisp-Set Analysis. Economic Analysis Letters, 2(1), 12. https://doi.org/10.58567/eal02010002

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References

  1. Breitung, J. (2000). The local power of some unit root tests for panel data. Advances in Econometrics, 15. https://doi.org/10.1016/S0731-9053(00)15006-6
  2. Dias, R., Pardal, P., Teixeira, N., & Horta, N. (2022). Tail Risk and Return Predictability for Europe ’ s Capital Markets : An Approach in Periods of the. December. https://doi.org/10.4018/978-1-6684-5666-8.ch015
  3. Dickey, D., & Fuller, W. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517
  4. Fama, E. F. (1965). Random Walks in Stock Market Prices. Financial Analysts Journal, 21(5). https://doi.org/10.2469/faj.v21.n5.55
  5. Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2). https://doi.org/10.2307/2325486
  6. Fama, E. F. (1991). Efficient Capital Markets: II. The Journal of Finance, 46(5). https://doi.org/10.2307/2328565
  7. Fama, E. F., & French, K. R. (1988). Dividend yields and expected stock returns. Journal of Financial Economics, 22(1). https://doi.org/10.1016/0304-405X(88)90020-7
  8. 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
  9. 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
  10. Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3). https://doi.org/10.1016/0165-1765(80)90024-5
  11. Kantelhardt, J. W., Koscielny-Bunde, E., Rego, H. H. ., Havlin, S., & Bunde, A. (2001). Detecting long-range correlations with detrended fluctuation analysis. Physica A: Statistical Mechanics and Its Applications, 295(3–4), 441–454. https://doi.org/10.1016/S0378-4371(01)00144-3
  12. 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
  13. Pardal, P., Dias, R., Teixeira, N. & Horta, N. (2022). The Effects of Russia ’ s 2022 Invasion of Ukraine on Global Markets : An Analysis of Particular Capital and Foreign Exchange Markets. https://doi.org/10.4018/978-1-6684-5666-8.ch014
  14. 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), 1685–1689. https://doi.org/10.1103/PhysRevE.49.1685
  15. Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
  16. 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
  17. Teixeira, N., Dias, R., Pardal, P., & Horta, N. (2022). Financial Integration and Comovements Between Capital Markets and Oil Markets : An Approach During the Russian. December. https://doi.org/10.4018/978-1-6684-5666-8.ch013
  18. 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. Heliyon 8(1). https://doi.org/10.1016/j.heliyon.2022.e08808