Hortense Santos – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal
Rui Dias – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal & CEFAGE, Universidade de Évora, Portugal
Paula Heliodoro – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal
Paulo Alexandre – Escola Superior de Ciências Empresarias – Instituto Politécnico de Setúbal, Portugal
DOI: https://doi.org/10.31410/ITEMA.2020.91
4th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2020, Online/virtual, October 8, 2020, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade; Printed by: SKRIPTA International, Belgrade, ISBN 978-86-80194-36-3, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2020
Abstract
The new coronavirus disease (Covid-19) evolved quickly from a regional health outbreak to a global collapse, stopping the global economy in a unprecedented way, creating uncertainty and chaos in the financial markets. Based on these events, it is intended in this paper to test the persistence of profitability in the financial markets of Argentina, Brazil, Chile, Colombia, Peru and Mexico, in the period between January 2018 to July 2020. In order to perform this analysis where undertaken different approaches in order to analyze if: (i) the financial markets of Latin America are efficient in their weak-form during the global pandemic (Covid-19)? ii) If so, the persistent long memories cause risks between these regional markets? The results suggest that the returns don’t follow the i.i.d. hypothesis, from dimension 2, reinforcing the idea that returns of stock indexes have a non-linear nature or a significant non-linear component, exception made to the Argentina market, which was expected in virtue of the Ljung-Box (with the return squares) test results, and ARCH-LM. Corroborating the exponents Detrended Fluctuation Analysis (DFA), indicate the presence of persistent long memories, namely into the following markets: Colombia (0.72), Chile (0.66), Brazil (0.58) and Peru (0.57). The Argentina market does not reject the random walk hypothesis, while the Mexican market suggests some anti-persistence (0.41). This situation has implications for investors, once that some returns can be expected, creating arbitration opportunities and abnormal income, contrary to the supposed from the random walk hypothesis and information efficiency. The t-test results of the heteroscedasticity form the two samples suggest that there is no risk transmission between these regional markets, with the exception to the BOVESPA / BOLSAA MX markets, that is, the existence of persistent long memories in the returns does not imply the risk transmission between markets. These finds allow the creation of strategies of diversification inefficient portfolios. These conclusions also open space for the market regulators to implement measures that guarantee a better informational information of these regional markets.
Keywords
Covid-19, LAC region, Long memories, Arbitration.
References
Aggarwal, D. (2018). Random walk model and asymmetric effect in Korean composite stock price index. Afro-Asian J. of Finance and Accounting. https://doi.org/10.1504/aajfa.2018.10009906
Ali, M., Alam, N., & Rizvi, S. A. R. (2020). Coronavirus (COVID-19) — An epidemic or pandemic for financial markets. Journal of Behavioral and Experimental Finance. https://doi.org/10.1016/j.jbef.2020.100341
Andrianto, Y., & Mirza, A. R. (2016). A Testing of Efficient Markets Hypothesis in Indonesia Stock Market. Procedia – Social and Behavioral Sciences. https://doi.org/10.1016/j.sbspro.2016.04.048
Brock, W. A., & de Lima, P. J. F. (1996). 11 Nonlinear time series, complexity theory, and finance. In Handbook of Statistics (Vol. 14, pp. 317–361). https://doi.org/10.1016/S0169-7161(96)14013-X
Clemente, J., Montañés, A., & Reyes, M. (1998). Testing for a unit root in variables with a double change in the mean. Economics Letters, 59(2), 175–182. https://doi.org/10.1016/S0165-1765(98)00052-4
Corbet, S., Larkin, C. J., & Lucey, B. M. (2020). The Contagion Effects of the COVID-19 Pandemic: Evidence from Gold and Cryptocurrencies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3564443
Duarte Duarte, J. B., & Mascareñas Pérez-Iñigo, J. M. (2014). Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos. Estudios Gerenciales. https://doi.org/10.1016/j.estger.2014.05.005
El Khamlichi, A., Sarkar, K., Arouri, M., & Teulon, F. (2014). Are Islamic equity indices more efficient than their conventional counterparts? Evidence from major global index families. Journal of Applied Business Research. https://doi.org/10.19030/jabr.v30i4.8660
Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987. https://doi.org/10.2307/1912773
Fama, E. F., & French, K. R. (1988). Dividend yields and expected stock returns. Journal of Financial Economics. https://doi.org/10.1016/0304-405X(88)90020-7
Forbes, K. J., & Rigobon, R. (2002). No Contagion, Only Interdependence: Measuring Stock Market Comovements. The Journal of Finance, 57(5), 2223–2261. https://doi.org/10.2307/3094510
Hamid, K., Suleman, M. T., Ali Shah, S. Z., & Imdad Akash, R. S. (2017). Testing the Weak Form of Efficient Market Hypothesis: Empirical Evidence from Asia-Pacific Markets. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2912908
He, Q., Liu, J., Wang, S., & Yu, J. (2020). The impact of COVID-19 on stock markets. Economic and Political Studies. https://doi.org/10.1080/20954816.2020.1757570
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5
Karasiński, J. (2020). The Changing Efficiency of the European Stock Markets. Annales Universitatis Mariae Curie-Skłodowska, Sectio H – Oeconomia. https://doi.org/10.17951/h.2020.54.1.41-51
Lahmiri, S., & Bekiros, S. (2020). The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets. Chaos, Solitons and Fractals. https://doi.org/10.1016/j.chaos.2020.109936
Lawrence H. Summers. (1986). Does the stock market rationally reflect fundamental values. The Journal of Finance. https://doi.org/10.2307/2328487
Liu, H., Manzoor, A., Wang, C., Zhang, L., & Manzoor, Z. (2020). The COVID-19 outbreak and affected countries stock markets response. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17082800
Malafeyev, O., Awasthi, A., S.Kambekar, K., & Kupinskaya, A. (2019). Random Walks and Market Efficiency in Chinese and Indian Equity Markets. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic.v7i1.499
Mehla, S., & Goyal, S. K. (2013). Empirical Evidence on Weak Form of Efficiency in Indian Stock Market. Asia-Pacific Journal of Management Research and Innovation. https://doi.org/10.1177/2319510×1200800107
Nisar, S., & Hanif, M. (2012). Testing weak form of efficient market hypothesis: Empirical evidence from South-Asia. World Applied Sciences Journal.
Pernagallo, G., & Torrisi, B. (2019). An empirical analysis on the degree of Gaussianity and long memory of financial returns in emerging economies. Physica A: Statistical Mechanics and Its Applications. https://doi.org/10.1016/j.physa.2019.121296
Pindyck, R. S., & Rotemberg, J. J. (1990). Do Stock Prices Move Together Too Much? National Bureau of Economic Research Working Paper Series, No. 3324.
Poterba, J. M., & Summers, L. H. (1988). Mean reversion in stock prices. Evidence and Implications. Journal of Financial Economics. https://doi.org/10.1016/0304-405X(88)90021-9
Rehman, S., Chhapra, I. U., Kashif, M., & Rehan, R. (2018). Are Stock Prices a Random Walk? An Empirical Evidence of Asian Stock Markets. ETIKONOMI. https://doi.org/10.15408/etk.v17i2.7102
Righi, M. B., & Ceretta, P. S. (2011). Random walk and variance ratio tests for efficiency in the sub-prime crisis: Evidence for the U.S. and latin markets. International Research Journal of Finance and Economics.
Ruiz-Porras, A., & Ruiz-Robles, B. (2015). La hipótesis de eficiencia y la modelación de series bursátiles mexicanas: un análisis multivariado. Economía Informa. https://doi.org/10.1016/s0185-0849(15)30003-7
Sansa, N. A. (2020). The Impact of the COVID-19 on the Financial Markets: Evidence from China and USA. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3567901
Sierra Suárez, K. J., Duarte Duarte, J. B., & Mascareñas Pérez-Iñigo, J. M. (2013). COMPROBACIÓN DEL COMPORTAMIENTO CAÓTICO EN BOLSA DE VALORES DE COLOMBIA. Revista Estrategia Organizacional. https://doi.org/10.22490/25392786.1480
Singh, D. S. K., & Kumar, L. (2018). Market Efficiency in Malaysia: An Empirical Study of Random Walk Hypothesis of Kuala Lumpur Stock Market (Composite Index) Bursa Malaysia. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3095176
Taylor, S. J. (1986). Modelling Financial Time Series. In Wiley New York.
Worthington, A. C., & Higgs, H. (2013). Tests of random walks and market efficiency in Latin American stock markets: An empirical note. Pathogens and Global Health. https://doi.org/10.1179/204777213X13869290853977