The Adaptive Market Hypothesis and the Day-of-the-Week Effect in African Stock Markets : the Markov Switching Model

• Autorzy: Adefemi A. Obalade , Paul-Francois Muzindutsi

Warianty tytułu

Hipoteza rynku adaptacyjnego i efekt dnia tygodnia na giełdach afrykańskich : model przełącznikowy Markowa

• Języki publikacji: EN

Abstrakty

EN

In line with the Adaptive Market Hypothesis (AMH), the objective of this study is to investigate how the day-of-the-week (DOW) effect behaves under different bull and bear market conditions in African stock markets, and to examine the likelihood of being in a bull or bear regime for each market. A Markov Switching Model (MSM) was employed as the analytical technique. The results show that the DOW effect appears in one regime and disappears in another, in all markets, as rooted in the AMH. Lastly, all markets, except the Johannesburg Stock Exchange have a higher tendency to be in a bearish state than a bullish one. Our findings show that active investment management may yield profits for investors investing in most African markets during bearish conditions. (original abstract)

W oparciu o hipotezę rynku adaptacyjnego, w niniejszym opracowaniu zbadano, w jaki sposób efekt dnia tygodnia działa w fazie bessy i hossy na afrykańskich rynkach akcji oraz określono prawdopodobieństwo bycia w fazie bessy i hossy na każdym z tych rynków. Jako technikę analityczną przyjęto model przełącznikowy Markowa. Wyniki pokazują, że na wszystkich rynkach efekt dnia tygodnia pojawia się w jednej fazie i znika w drugiej, zgodnie z hipotezą rynku adaptacyjnego. Wreszcie, wszystkie rynki, z wyjątkiem giełdy w Johannesburgu, mają wyższą tendencję do bycia w fazie bessy niż hossy. Nasze ustalenia pokazują, że aktywne zarządzanie inwestycjami może przynosić zyski inwestorom inwestującym na większości rynków afrykańskich w fazie bessy. (abstrakt oryginalny)

Słowa kluczowe

EN

Calendar effects; Switching model; Equity market

PL

Efekty kalendarzowe; Model przełącznikowy; Rynek akcji

• Czasopismo: Comparative Economic Research
• Rocznik: 2019
• Tom: 22
• Numer: nr 3
• Strony: 145--162

Twórcy

autor

Adefemi A. Obalade

• Ekiti State University, Nigeria; University of KwaZulu-Natal, Durban, South Africa

autor

Paul-Francois Muzindutsi

• University of KwaZulu-Natal, South Africa

Bibliografia

• AfricaTLF.com, (2016), Africa Equity Market Capitalisation, available at http://www.acm-consult.com/ (accessed: 12.10.2017).
• Alagidede, P. (2009), Return Predictability in Africa's Emerging Equity Markets, "International Review of Financial Analysis", Vol. 18, No. 1, pp. 1-11.
• Alagidede, P. (2013), Month of the Year and Pre-Holiday Effects in African Stock Markets, "Sajems", Vol. 16, No. 1, pp. 64-74.
• Alagidede, P., Panagiotidis, T. (2006), Calendar Anomalies in an Emerging African Market: Evidence From The Ghana Stock Exchange, available at: http://ideas.repec.org/p/lbo/lbowps/ 2006_13.html (accessed: 5.10.2017).
• Atsin, J.A.L., Ocran, M.K. (2015), Calendar effects and market anomalies on the Johannesburg Stock Exchange, https://mpra.ub.uni-muenchen.de/87448/ (accessed: 2.11.2018).
• Bhana, N. (1985), The Monday effect on the Johannesburg Stock Exchange, "South African Journal of Business Management", Vol. 16, No. 1, pp. 7-11.
• Brishan, R. (2012), Calendar Effects on the Nine Economic Sectors of the Johannesburg Stock Exchange (A Master thesis), School of Economic and Business Sciences, University of the Witwatersrand, Johannesburg.
• Brockman, P., Michayluk, D. (1998), The Persistent Holiday Effect: Additional Evidence, "Applied Economic Letters", Vol. 5, pp. 205-209.
• Brooks, C. (2014), Introductory Econometrics for Finance (2nd Ed.), New York: Cambridge University Press.
• Bundoo, S.K. (2011), An Analysis of Stock Market Anomalies and Momentum Strategies on the Stock Exchange of Mauritius, "AERC Research Paper", Vol. 227, No. 1, pp. 1-48.
• Chukwuogor, C. (2007), An econometric analysis of African Stock Market: annual returns analysis, day-of-the-week effect and volatility of returns, "African Journal of Accounting, Economics, Finance and Banking Research", Vol. 1, No. 1, p. 26.
• Diebold, F.X., Lee, J., Gretchen, C.W. (1994), Regime Switching with Time Varying Transition Probabilities, [in:] Hargreaves, C. (ed.), Nonstationary Time Series Analysis and Cointegration, Oxford: Oxford University Press, pp. 283-302.
• Dragan, T., Martin, M., Igor, S. (2012), The Day of the Week Effect in South Eastern Europe Stock Markets, "Annals of the "Constantin Brâncuşi" University of Târgu Jiu, Economy Series", Vol. 3, pp. 20-24.
• Fama, E.F. (1965), The Behaviour of Stock Prices, "Journal of Business", Vol. 37, No. 1, pp. 34-105.
• Fama, E.F. (1970), Efficient Capital Markets: A Review of Theory and Empirical Work, "Journal of Finance", Vol. 25, No. 2, pp. 383-417.
• Filardo, A.J. (1994), Business-Cycle Phases and Their Transitional Dynamics, "Journal of Business & Economic Statistics," 12, pp. 299-308.
• French, K. (1980), Stock Returns and the Weekend Effect, "Journal of Financial Economics", Vol. 8, pp. 55-69.
• Gibbons, M., Hess, P. (1981), Day of the week effects and asset returns, "The Journal of Business", pp. 579-96.
• Goedhart, M., Koller, T., Wessels, D. (2005), Do fundamentals-or emotions-drive the stock market?, available at http://www.mckinsey.com/ (accessed: 12.10.2017).
• Hakan, B., Halil, KI. (2001), The Day of the Week Effect on Stock Market Volatility, "Journal of Economics and Finance", Vol. 25, No. 2, pp. 181-193.
• Hamilton, J.D. (1989), A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle, "Econometrica", Vol. 57, pp. 357-384.
• Hansen, P.R., Lunde, A. (2003), Testing the Significance of Calendar Effects, "Working Paper", Vol. 3, No. 3, pp. 1-39.
• Hassan, R., Syed, A.S., Asad Saleem, M. (2015), Day of the Week Anomaly and Market Efficiency: Evidence from KSE-Pakistan, "International Journal of Business and Social Science", Vol. 6, No. 9, pp. 69-75.
• Helena, N. (2009), A Multifactor Approach in Understanding Asset Pricing Anomalies: An empirical study of the factor model in the Budapest Stock Market (Unpublished).
• Julio, C.A.C., Beatriz, E.G.C. (2013), The Day-of-the-Week Effect: The CIVETS Stock Markets Case, "Journal of Applied Business and Economics", Vol. 15, No. 3, pp. 102-116.
• Lakanishok, J., Levi, R. (1982), Weekend Effects in Stock Returns: A Note, "Journal of Finance", Vol. 37, pp. 883-89.
• Lakonishok, J., Smidt, S. (1988), Are Seasonal Anomalies Real? A Ninety-year Perspective, "Review of Financial Studies", Vol. 1, No. 4, pp. 403-425.
• Lei, G., Gerhard, K. (2005), Calendar Effects in Chinese Stock Market, "Annals of Economics and Finance", Vol. 6, No. 5, pp. 75-88.
• Lim, S.Y., Ho, C.M., Dollery, B. (2007), Stock Market Calendar Anomalies: The case of Malaysia, available at: https://www.une.edu.au/__data/assets/pdf_file/0008/67994/econ-2007-5.pdf (accessed: 15.10.2017).
• Lo, A.W. (2004), The adaptive markets hypothesis: market efficiency from an evolutionary perspective, available at SSRN: https://ssrn.com/abstract=602222 (accessed: 31.08.2017).
• Lo, A.W. (2005), Reconciling efficient markets with behavioral finance: the adaptive markets hypothesis, "Journal of Investment Consulting", Vol. 7, No. 2, pp. 21-44.
• Lo, A.W. (2012), Adaptive Markets and the New World Order, "Financial Analysts Journal", Vol. 68, No. 2, pp. 18-29.
• Lo, A.W., Blume, L., Durlauf, S. (2007), The New Palgrave: A Dictionary of Economics (Second Edition), New York, Palgrave McMillan.
• Lukas, M. (2009), Stock Market Seasonality: Day of The Week Effect and January Effect. (Thesis).
• Lukas, J. (2012), Analysis of stock market anomalies: US cross-sectoral comparison (Bachelor thesis), Charles University in Prague, Faculty of social sciences, Institute of economic studies.
• Magnus, K. (2008), Seasonal Anomalies in the Swedish Stock Market from an Industry Perspective. Department of Economics, Lund University, Sweden.
• Merrett, G.J., Worthington, A.C. (2006), An empirical note on the holiday effect in the Australian stock market, 1996-2006, School of Accounting and Finance, University of Wollongong, Wollongong 7 (11), pp. 1-10.
• Martin, S. (2011), Characterization of Financial Time Series, "Research Note", Vol. 11, No. 1, pp. 1-35.
• Osazevbaru, H.O., Oboreh, J. (2014), The "Monday Effect" in Nigerian Stock Market: Evidence and Implication, "Journal of Social Sciences and Public Policy", Vol. 6, No. 1, pp. 1-8.
• Pandey, F., Samanta, A. (2016), An Empirical Analysis of January Effect-Evidence from Indian Market, "International Journal of Innovative Research and Development", Vol. 5, No. 7, pp. 187-197.
• Rich, S. (2018), Calendar Effects on the Johannesburg Stock Exchange: A Markov Switching Approach (M.Sc. Thesis), Gordon Institute of Business Science, University of Pretoria.
• Rossi, M. (2007), Calendar anomalies in stock returns: Evidence from South America. (Bachelors' thesis), Lappeenranta University of Technology Department of Business Administration Section of Finance.
• Rystrom, D.S., Benson, E.D. (1989), Investor Psychology and the Day-of-the-week Effect, "Financial Analysts Journal", Vol. 45, No. 5, pp. 75-78.
• Shakeel, K., Douglas, M., Chimwemwe, C. (2013), Changing Patterns in The Day-Of-The-Week Effects in African Stock Markets, "International Business & Economics Research Journal", Vol. 12, No. 10, pp. 1157-1174.
• Shiok, Y.L., Chong, M.H., Brian, D. (2007), Stock Market Calendar Anomalies: The Case of Malaysia, http://www.une.edu.au/economics/publications/ecowps.php (accessed: 6.10.2017).
• Thaler, R.H. (1999), The End of Behavioural Finance, "Financial Analyst Journal", Vol. 55, No. 6, pp. 12-17.
• Toit, E. Du, Hall, J.H., Pradhan, R.P. (2018). The day-of-the-week effect: South African stock market indices, "African Journal of Economic and Management Studies", Vol. 9, No. 2, pp. 197-212.
• Umar, B.N. (2013), The Day of the Week effect on stock market returns and volatility: Evidence from Nigeria and South Africa, Munich Personal RePEc Archive. Online at http://mpra.ub.uni-muenchen.de/48076/ (accessed: 8.02.2018).
• 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", Vol. 35, pp. 154-166.
• Vergin, R.C., Mcginnis, J. (1999), Revisiting the holiday effect: Is it on holiday?, "Applied Financial Economics", Vol. 9, No. 5, pp. 477-482.
• Wing-Keung, W., Aman A., Nee-Tat, W. (2006), The Disappearing Calendar Anomalies in the Singapore Stock Market, "Lahore Journal of Economics, Department of Economics", The Lahore School of Economics, Vol. 11, No. 2, pp. 123-139.

Identyfikatory

DOI

https://doi.org/10.2478/cer-2019-0028