Day-of-the-week effect in Nigerian stock exchange: adaptive market hypothesis approach
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DOIhttp://dx.doi.org/10.21511/imfi.17(1).2020.09
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Article InfoVolume 17 2020, Issue #1, pp. 97-108
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The problems that this study informed are rooted in the uncertainty surrounding the presence of calendar anomalies in the Nigerian stock market and the need to ascertain whether calendar anomaly is changing with time and market condition according to the adaptive market hypothesis. This study evaluates how calendar anomaly behaves over time in the Nigerian stock market through the day-of-the-week effect since the latest trend is to examine time-changing anomaly. The general All Share Index returns of the Nigerian Stock Exchange between 2000 and 2017 are used in the analysis. Secondary daily index returns data for the period are sourced from the NSE Fact Book. The major estimation techniques employed in the study are the mean equations of the generalized autoregressive conditional heteroscedasticity (GARCH) and overlapping sub-period methodology. Moreover, returns are grouped into Up and Down periods depending on the periods that generate positive and negative returns, respectively. This study found out that Monday (MON), Tuesday (TUE), and Friday (FRI) effects are the only adaptive day-of-the-week effects. Thus, three (MON, TUE, FRI) day of the week effects found in the full sample are time-varying in subsample and are affected by market condition. On the whole, MON and Thursday (THUR) effects are found in Bull, while TUE and FRI are found in Bear. The investor must be careful to take time-variation into consideration; otherwise, they may incur a loss by thinking that the day-of-the-week effect is present every time.
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JEL Classification (Paper profile tab)G1, C14, C52, C58
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References25
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Tables3
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Figures1
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- Figure 1. Time-varying day-of-the-week effect
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- Table 1. Day-of-the-week effect results
- Table 2. Results of time-varying day-of-the-week effect
- Table 3. Results of day-of-the-week in Up and Down condition
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- Ajao, M. G., & Wemambu, M. U. (2012). Volatility Estimation and Stock Price Prediction in the Nigerian Stock Market. International Journal of Financial Research, 3(1), 1-14.
- Akkaya, G. C., & Çimen, A. (2013). Calendar Anomalies at Borsa Istanbul. International Journal of Economics And Finance Studies, 5(1), 141-148.
- Alagidede, P. (2013). Month of the Year and Pre-Holiday Effects in African Stock Markets. Sajems, 16(1), 64-74.
- Borges, M. R. (2009). Calendar effects in stock markets: Critique of previous methodologies and recent evidence in European countries (Working Paper WP37/2009/DE/UECE). School of Economics and Management, Technical University of Lisbon, Portugal.
- Brishan, R. (2012). Calendar Effects on the Nine Economic Sectors of the Johannesburg Stock Exchange (Master thesis). School of Economic and Business Sciences, University of the Witwatersrand, Johannesburg.
- Fabozzi, F. J., & Francis, J. C. (1977). Stability Tests for Alphas and Betas Over Bull and Bear Market Conditions. The Journal of Finance, 32(4), 1093-1099.
- Efayena, O. (2014). Monthly Stock Market Seasonality: The Nigerian Evidence. Research Journal of Finance and Accounting, 5(9), 22-35.
- Güler, S., & Çimen, A. (2014). Day of the Month Effect in Emerging Markets. Journal of Yasar University, 9(33), 5636-5648.
- Gulseven, O. (2014). Multidimensional Analysis of Monthly Stock Market Returns. Scientific Annals of the Alexandru Ioan Cuza University of Iaşi Economic Sciences, 61(2), 181-196.
- Kampman, T. (2012). Behavioral finance: The January effect (Bachelor Thesis). Finance Tilburg University.
- Kroon, M. (2008). Seasonal Anomalies in the Swedish Stock Market from an Industry Perspective (Master Thesis). Department of Economics, Lund University, Sweden.
- Lo, A. W. (2004). The adaptive markets hypothesis: market efficiency from an evolutionary perspective. Journal of Portfolio Management, 30(5), 15-29.
- Obalade, A. A., & Muzindutsi, P-F. (2018). Are there Cycles of Efficiency and Inefficiency: Adaptive Market Hypothesis in Three African Stock Markets. Frontiers in Finance and Economics, 15(1), 185-202.
- Obalade, A. A., & Muzindutsi, P-F. (2019). Calendar Anomalies, Market Regimes, and the Adaptive Market Hypothesis in African Stock Markets. Central European Management Journal, 27(4), 71-94.
- Olowe, R. A. (2011). Exchange Rate Volatility, Global Financial Crisis and the Day-of-the-Week Effect. KCA Journal of Business Management, 3(3), 30-43.
- Osarumwense, O.-I. (2015). Day-of-the-week effect in the Nigerian Stock Market Returns and Volatility: Does the Distributional Assumptions Influence Disappearance? European Financial and Accounting Journal, 10(4), 33-44.
- Osarumwense, O.-I. (2016). Day-of-the-week Anomaly: An Illusion or Reality? Evidence From Naira/Exchange Rate. CBN Journal of Applied Statistics, 7(1), 311-332.
- Osazevbaru, H. O., & Oboreh, J. (2014). The “Monday Effect” in Nigerian Stock Market: Evidence and Implication. Journal of Social Sciences and Public Policy, 6(1), 1-8.
- Patel, J. B. (2016). The January Effect Anomaly Reexamined In Stock Returns. The Journal of Applied Business Research, 32(1), 317-324.
- Siami Namini, R., Rahnama Roudposhti, F., & Janani, M. H. (2013). A Study to Examine Time-Varying Effectiveness of Stock Returns on Tehran Stock Exchange. International Journal of Financial Research, 4(2), 154-161.
- Tan, R. S. K., & Tat, W. L. (1998). The diminishing calendar anomalies in the stock exchange of Singapore. Applied Financial Economics, 8(2), 119-125.
- Tevdovski, D., Mihajlov, M., & Sazdovski, I. (2012). The Day of the Week Effect in South Eastern Europe Stock Markets. Annals of the „Constantin Brâncuşi” University of Târgu Jiu, Economy Series, 3, 20-24.
- 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.
- WingKeung, W., Aman, A., & NeeTat, W. (2006). The Disappearing Calendar Anomalies in the Singapore Stock Market. Lahore Journal of Economics, 11(2), 123-139.
- Yousop, N. L. B. M., Sipon, Z., & Yoke, C. S. K. (2014). Lunar Effect: Analysis on Emerging Countries Stock Returns, Prior and During Financial Crisis. Journal of Emerging Economies and Islamic Research, 2(2), 1-15.