The week-of-the-year effect and the Adaptive Markets Hypothesis: Evidence from a new database
Main Article Content
Abstract
In this paper, for the first time, we study the calendar anomaly called “the week-of-the-year effect” in the Portuguese stock market. The week-of-the year effect was originally identified by Levy and Yagil (2012) and refers to the occurrence of significantly different market returns during certain weeks of the year. The sample used was built from a new historical database covering about 120 years of the Portuguese stock market. It was found that the first and last weeks of the year generated significantly higher returns than the other weeks of the year. Furthermore, a subsample analysis reveals that the week-of-the year effect has evolved over time. In general, our results suggest that the Adaptive Markets Hypothesis provides a better explanation for the dynamics of the Portuguese stock market.
Keywords:
Article Details
Funding data
-
Fundação para a Ciência e a Tecnologia
Grant numbers UIDB/04105/2020
References
Al-Khazali, O. & Mirzaei, A. (2017). Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices. Journal of International Financial Markets, Institutions & Money, 51, 190-208. https://doi.org/10.1016/j.intfin.2017.10.001
Aleknevičienė, V., Klasauskaitė, V., & Aleknevičiūtė, E. (2022). Behavior of calendar anomalies and the adaptive market hypothesis: evidence from the Baltic stock markets. Journal of Baltic Studies, 53(2), 187-210. https://doi.org/10.1080/01629778.2021.1990094
Balbina, M., & Martins, N. C. (2002). The Analysis of Seasonal Return Anomalies in the Portuguese Stock Market. Working Paper, 11-02, Economics and Research Department, Banco de Portugal.
Beyer, S., Garcia-Feijoo, L., & Jensen, G. R. (2013). Can you capitalize on the turn-of-the-year effect? Applied Financial Economics, 23(18), 1457–1468. https://doi.org/10.1080/09603107.2013.831168
Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. The Journal of Finance, 47(5), 1731-1764. https://doi.org/10.1111/j.1540-6261.1992.tb04681.x
Darrat, A. F., Li, B., Liu, B., & Su, J. J. (2011). A fresh look at seasonal anomalies: An international perspective. International Journal of Business and Economics, 10(2), 93–116. https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.10-2/pdf/vol_10-2-1.pdf
Fama, E. F. (1970). Efficient capital markets: a review of theory and empirical work. The Journal of Finance, 25(2), 383-417. https://doi.org/10.2307/2325486
Gilson, R. J. & Kraakman, R. H. (1984). The Mechanisms of Market Efficiency. Virginia Law Review, 70(4), 549-644. https://doi.org/10.2307/1073080
Grossman, S. J., & Stiglitz, J. E. (1980). On the Impossibility of Informationally Efficient Markets. The American Economic Review, 70(3), 393-408. https://www.jstor.org/stable/1805228
Kamstra, M. J., Kramer, L. A., & Levi, M. D. (2003). Winter blues: A SAD stock market cycle. American Economic Review, 93(1), 324-343. https://doi.org/10.1257/000282803321455322
Lakonishok, J., & Smidt, S. (1988). Are Seasonal Anomalies Real? A Ninety-Year Perspective. The Review of Financial Studies, 1(84), 403-425. https://doi.org/10.1093/rfs/1.4.403
Levy, T., & Yagil, J. (2012). The week-of-the-year effect: Evidence from around the globe. Journal of Banking & Finance, 36(7), 1963-1974. https://doi.org/10.1016/j.jbankfin.2012.03.004
Lo, A. W. (2004). The Adaptive Markets Hypothesis. The Journal of Portfolio Management, 30(5), 15-29. https://doi.org/10.3905/jpm.2004.442611
Lobão, J. (2018). Are African stock markets inefficient? New evidence on seasonal anomalies. Scientific Annals of Economics and Business, 65(3), 283-301. https://doi.org/10.2478/saeb-2018-0023
Lobão, J. (2019). Seasonal anomalies in the market for American depository receipts. Journal of Economics, Finance and Administrative Science, 24(48), 241-265. https://doi.org/10.1108/JEFAS-09-2018-0088
Lobão, J., & Lobo, C. (2018). Sazonalidade Mensal e o Efeito Passagem de Ano: Nova Evidência da Euronext Lisbon. Portuguese Journal of Finance, Management and Accounting, 4(8), 3-25. http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/316
Mata, M. E., da Costa, J. R., & Justino, D. (2017). The Lisbon stock exchange in the twentieth century. Coimbra University Press.
Plastun, A., Sibande, X., Gupta, R., & Wohar, M. E. (2020). Historical evolution of monthly anomalies in international stock markets. Research in International Business and Finance, 52, 101-127. https://doi.org/10.1016/j.ribaf.2019.101127
Qadan, M., Aharon, D. Y., & Eichel, R. (2019). Seasonal patterns and calendar anomalies in the commodity market for natural resources. Resources Policy, 63, 101-435. https://doi.org/10.1016/j.resourpol.2019.101435
Qadan, M., Aharon, D. Y., & Eichel, R. (2022). Seasonal and Calendar Effect and the Price Efficiency of Cryptocurrencies. Finance Research Letters, 46, 102354. DOI: https://doi.org/10.1016/j.frl.2021.102354
Redondo López, J. A., & Fernández Fernández, L. (2018). Teoría Financiera y Crisis: Una Revisión de la Racionalidad del Individuo desde la Teoria del Comportamiento. Revista Galega de Economía, 27(3), 101-110. https://doi.org/10.15304/rge.27.3.5440
Rosini, L., & Shenai, V. (2020). Stock returns and calendar anomalies on the London Stock Exchange in the dynamic perspective of the Adaptive Market Hypothesis: A study of FTSE100 & FTSE250 indices over a ten year period. Quantitative Finance and Economics, 4(1), 121-147. https://doi.org/10.3934/QFE.2020006
Seif, M., Docherty, P., & Shamsuddin, A. (2017). Seasonal anomalies in advanced emerging stock markets. The Quarterly Review of Economics and Finance, 66, 169-181. https://doi.org/10.1016/j.qref.2017.02.009
Siegel, J. (2014). Stocks for the Long Run. 4ª. edição. McGraw-Hill.
Silva, P. M. (2010). Calendar ‘anomalies’ in the Portuguese stock market. Investment Analysts Journal, 39(71), 37-50. https://doi.org/10.1080/10293523.2010.11082518
Sun, Q., & Tong, W. H. S. (2010). Risk and the January effect. Journal of Banking & Finance, 34(5), 965–974. https://doi.org/10.1016/j.jbankfin.2009.10.005
Urquhart, A., & McGroarty, F. (2014). Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data. International Review of Financial Analysis, 35, 154-166. https://doi.org/10.1016/j.irfa.2014.08.003
Xiong, X., Yongqiang, M. Xiao, L. & Dehua, S. (2019). An empirical analysis of the Adaptive Market Hypothesis with calendar effects: Evidence from China. Finance Research Letters, 31, 321-333. https://doi.org/10.1016/j.frl.2018.11.020
Zhang, C. Y., & Jacobsen, B. (2013). Are Monthly Seasonals Real? A Three Century Perspective. Review of Finance, 17(5), 1743-1785. https://doi.org/10.1093/rof/rfs035
Zhang, C. Y., & Jacobsen, B. (2021). The Halloween indicator, ‘Sell in May and Go Away’: Everywhere and all the time. Journal of International Money and Finance, 110. https://doi.org/10.1016/j.jimonfin.2020.102268