Long-range Dependencies of Euronext Capital Markets: A Dynamic Detrended Analysis

 

Rui DiasΒ – Escola Superior de CiΓͺncias Empresarias at Instituto PolitΓ©cnico de SetΓΊbal, Portugal and CEFAGE-UE, IIFA, University of Γ‰vora, Portugal

Paula Heliodoro – Escola Superior de CiΓͺncias Empresarias at Instituto PolitΓ©cnico de SetΓΊbal, Portugal

Hortense Santos – Escola Superior de CiΓͺncias Empresarias at Instituto PolitΓ©cnico de SetΓΊbal, Portugal

Ana Rita Farinha – Escola Superior de CiΓͺncias Empresarias at Instituto PolitΓ©cnico de SetΓΊbal, Portugal

MΓ‘rcia C. Santos – Escola Superior de CiΓͺncias Empresarias at Instituto PolitΓ©cnico de SetΓΊbal, Portugal and Information Sciences and Technologies and Architecture Research Center (ISTAR-IUL) at Instituto UniversitΓ‘rio de Lisboa (ISCTE-IUL), Portugal

Paulo Alexandre – Escola Superior de CiΓͺncias Empresarias at Instituto PolitΓ©cnico de SetΓΊbal, Portugal

 

Abstract: This paper aims to test efficiency, in its weak form, in the capΒ­ital markets of the Netherlands (AEX), Belgium (BEL 20), France (CAC 40), Ireland (ISEQ 20), Norway (OSEBX), Portugal (PSI 20), in the period from April 4, 2019 to April 1, 2021. The sample was partitioned into two subΒ­periods, the first and second wave of the global pandemic: April 4, 2019 to April 30, 2020; May 4, 2020 to April 1, 2021. To carry out this analysis, different approaches were undertaken to analyze whether: (i) EuronΒ­ext’s stock markets have more significant long memories in the first or second wave of the global pandemic? The results show the presence of sharp long memories during the first wave of the global pandemic, parΒ­ticularly in the stock indices OSEBX (0.67), PSI 20 (0.67), AEX (0.66), BEL 20 (0.64), CAC 40 (0.62), ISEQ 20 (0.61), which implies that the yields are auΒ­tocorrelated in time and, there is a reversal of the average, in all indexes. Regarding the second wave of the global pandemic, we found that most Euronext stock markets don’t reject the random walk hypothesis, with the exception of the Norwegian (0.56) and Portugal (0.55) stock markets. These findings show that the impact of the Covid-19 pandemic was acΒ­centuated during the first wave, but from May 2020 the markets adjustΒ­ed and showed balance. The authors believe that the results achieved will be a benefit to international investors seeking efficient diversificaΒ­tion into their portfolios.Β 

Keywords:
Euronext stock markets; Long memories; Arbitrage; Portfolio diversification

DOI: https://doi.org/10.31410/ERAZ.S.P.2021.27

7th International Scientific ERAZ Conference – ERAZ 2021 – Selected Papers: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT,Β  Online/virtual, May 27, 2021

ERAZ Conference Selected Papers are published by:Β 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 – Belgrade, Serbia

ERAZ Conference 2021 Selected Papers ISBN 978-86-80194-47-9, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.S.P.2021

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 

References

Alexandre, P., Dias, R., & Heliodoro, P. (2020). HOW LONG IS THE MEMORY OF THE REΒ­GION LAC STOCK MARKET? Balkans Journal of Emerging Trends in Social Sciences, 3(2). https://doi.org/10.31410/balkans.jetss.2020.3.2.131-137

Clemente, J., MontaΓ±Γ©s, A., & Reyes, M. (1998). Testing for a unit root in variables with a douΒ­ble change in the mean. Economics Letters, 59(2), 175–182. https://doi.org/10.1016/S0165- 1765(98)00052-4

Dias, R., Teixeira, N., Machova, V., Pardal, P., Horak, J., & Vochozka, M. (2020). Random walks and market efficiency tests: Evidence on US, Chinese and European capital markets within the context of the global Covid-19 pandemic. Copernicus economy, 11(4). https:// doi.org/10.24136/OC.2020.024

Dias, R., & Carvalho, L.C. (2020). Hedges and safe havens: An examination of stocks, gold and silver in Latin America’s stock market. UFSM Administration Journal, 13(5), 1114–1132. https://doi.org/10.5902/1983465961307

Dias, R., da Silva, J. V., & Dionysus, A. (2019). Financial markets of the LAC region: Does the crisis influence the financial integration? International Review of Financial Analysis, 63(January), 160–173. https://doi.org/10.1016/j.irfa.2019.02.008

Dias, R., Heliodoro, P., & Alexandre, P. (2020). Efficiency of Asean-5 Markets: An Detrended Fluctuation Analysis. Mednarodno Inovativno Poslovanje = Journal of Innovative BusiΒ­ness and Management, 12(2), 13–19. https://doi.org/10.32015/jibm.2020.12.2.13-19

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., & Vasco, C. (2020). FINANCIAL MARKET INTEGRAΒ­TION OF ASEAN-5 WITH CHINA: AN ECONOPHYSICS APPROACH. In 4th EMAN Conference Proceedings (part of EMAN conference collection) ( pp. 17–23). h ttps://doi. org/10.31410/eman.2020.17

Dias, R., Heliodoro, P., Alexandre, P., & Vasco, C. (2020). The shocks between oil market to the BRIC stock markets: A generalized VAR approach, 25–31.

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), 40. https://doi.org/10.11648/j.ijaΒ­frm.20200501.14

Dias, R., Pardal, P., Teixeira, N., & MachovΓ‘, V. (2020). Financial Market Integration of ASEΒ­AN-5 with China. Littera Scripta, 13(1). https://doi.org/10.36708/littera_scripta2020/1/4

Dias, R., & Pereira, J.M. (2021). The Impact of the COVID-19 Pandemic on Stock Markets. InΒ­ternational Journal of Entrepreneurship and Governance in Cognitive Cities, 1(2), 57–70. https://doi.org/10.4018/ijegcc.2020070105

Fame, E. F., & French, K. R. (1988). Dividend yields and expected stock returns. Journal of Financial Economics, 22(1), 3–25. https://doi.org/10.1016/0304-405X(88)90020-7

  1. Sudha, V. Sornaganesh, M. T. S. (2020). IMPACT OF INDIAN STOCK MARKET DUE TO CRISIS IN MARCH 2020. International Journal of Multidisciplinary Educational Research.

Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics JourΒ­nal. https://doi.org/10.1111/1368-423x.00043

Heliodoro, P., Dias, R., Alexandre, P., & Vasco, C. (2020). Integration in BRIC ́ Sstock markets: An empirical analysis, 33–40.

Heliodoro, P., Dias, R., & Alexandre, P. (2020). Financial Contagion Between the Us and EmergΒ­ing Markets: Covid-19 Pandemic Case. 4th EMAN Selected Papers (Part of EMAN ConΒ­ference Collection),1–9. https://doi.org/10.31410/eman.s.p.2020.1

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

Jain, E. (2020). Empirically testing weak form efficiency of Indian stock market: Pre and post demonetization. International Journal of Scientific and Technology Research.

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 MechanΒ­ics and Its Applications, 295(3–4), 441–454. https://doi.org/10.1016/S0378-4371(01)00144-3

KarasiΕ„ski, J. (2020). The Changing Efficiency of the European Stock Markets. AnΒ­nales Universitatis Mariae Curie-SkΕ‚odowska, Sectio H – Economics. https://doi. org/10.17951/h.2020.54.1.41-51

Pardal, P., Dias, R., Ε uleΕ™, P., Teixeira, N., & KrulickΓ½, T. (2020). Integration in Central EuroΒ­pean capital markets in the context of the global COVID-19 pandemic, 15(4). https://doi. org/10.24136/eq.2020.027

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

Poterba, J.M., & Summers, L. H. (1988). Mean reversion in stock prices. Evidence and ImplicaΒ­tions. Journal of Financial Economics. https://doi.org/10.1016/0304-405X(88)90021-9

Santos, Hortense & Dias, R. (2020). The Interactions of Stock Prices and Exchange Rates in the ASEAN-5 Countries: The DCCA approach.

Sukpitak, J., & Hengpunya, V. (2016). Efficiency of Thai stock markets: Detrended fluctuation analysis. Physica A: Statistical Mechanics and Its Applications, 458, 204–209. https://doi. org/10.1016/j.physa.2016.03.076