References
- Alexakis, C., Patra, T., & Poshakwale, S. (2010). Predictability of stock returns using financial statement information: Evidence on semi-strong efficiency of emerging Greek stock market. Applied Financial Economics, 20(16), 1321–27. https://doi.org/https://doi:10.1080/09603107.2010.482517
- Andreou, E., & Ghysels, E. (2009). Structural breaks in financial time series. Handbook of Financial Time Series, 1(1), 839–870. https://doi.org/10.1007/978-3-540-71297-8_37
- Ang, A., & Bekaert, G. (2007). Stock return predictability: Is it there? Review of Financial Studies, 20(3), 651–707. https://doi.org/10.1093/rfs/hhl021
- Apergis, N., & Gupta, R. (2017). Can (unusual) weather conditions in New York predict South African stock returns? Research in International Business & Finance, 41(1), 377–386. https://doi.org/10.1016/j.ribaf.2017.04.052
- Aye, G., Gupta, R., & Modise, M. (2013). Structural breaks and predictive regressions models of the South African equity premium. Frontiers in Finance & Economics, 10(1), 49–86. https://ssrn.com/abstract=2304729
- Balcilar, M., Gupta, R., Kim, W. J., & Kyei, C. (2019). The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea. International Review of Economics & Finance, 59(1), 150–163. https://doi.org/10.1016/j.iref.2018.08.016
- Balcilar, M., Gupta, R., Modise, M. P., & Mwamba, J. W. M. (2015). Predicting South African equity premium using domestic and global economic policy uncertainty indices: Evidence from a Bayesian graphical model. Working paper. University of Pretoria, South Africa. https://www.up.ac.za/media/shared/61/WP/wp_2015_96
- Ball, R., Gerakos, J., Linnainmaa, J. T., & Nikolaev, V. (2020). Earnings, retained earnings, and book-to-market in the cross-section of expected returns. Journal of Financial Economics, 135(1), 231–254. https://doi.org/10.1016/j.jfineco.2019.05.013
- Bannigidadmath, D., & Narayan, P. K. (2016). Stock return predictability and determinants of predictability and profits. Emerging Markets Review, 26(1), 153–173. https://doi.org/10.1016/j.ememar.2015.12.003
- Bekiros, S., Gupta, R., & Kyei, C. (2016). On economic uncertainty, stock market predictability and non-linear spillover effects. North American Journal of Economics & Finance, 36(1), 184–191. https://doi.org/10.1016/j.najef.2016.01.003
- Black, A. J., Fraser, P., & McMillan, D. G. (2007). Are international value premiums driven by the same set of fundamentals? International Review of Economics & Finance, 16(1), 113–129. https://doi.org/10.1016/j.iref.2005.05.002
- Bonga-Bonga, L., & Makakabule, M. (2010). Modelling stock returns in the South African stock exchange: A non-linear approach. European Journal of Economics, Finance & Administrative Sciences, 19(1), 168–177. https://doi.org/10.19030/iber.v11i9.7183
- Bonga‐Bonga, L., & Mwamba, M. (2011). The predictability of stock market returns in South Africa: Parametric vs non‐parametric methods. South African Journal of Economics, 79(3), 301–311. https://doi.org/10.1111/j.1813-6982.2011.01280.x
- Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society, 37(2), 149–163. https://doi.org/10.1111/j.2517-6161.1975.tb01532.x
- Campbell, J. Y., & Shiller, R. J. (1988). The dividend-price ratio and expectations of future dividends and discount factors. Review of Financial Studies, 1(3), 195–228. https://doi.org/10.1093/rfs/1.3.195
- Campbell, J. Y., & Yogo, M. (2006). Efficient tests of stock return predictability. Journal of Financial Economics, 81(1), 27–60. https://doi.org/10.1016/j.jfineco.2005.05.008
- Cenesizoglu, T., & Timmermann, A. (2007). Predictability of stock returns: A quantile regression approach. Working Paper. University of California. https://cirano.qc.ca
- Charteris, A., & Chipunza, K. J. (2020). Stock prices and dividends: A South African perspective. Investment Analysts Journal, 49(1), 1–15. https://doi.org/10.1080/10293523.2019.1682786
- Charteris, A., & Strydom, B. S. (2016). Stock return predictability in South Africa: An alternative approach. Working Paper. Economic Research Southern Africa. https://www.researchgate.net/
- Cremers, M., & Weinbaum, D. (2010). Deviations from put-call parity and stock return predictability. Journal of Financial & Quantitative Analysis, 45(2), 335–367. https://doi.org/10.1017/S002210901000013X
- Devpura, N., Narayan, P. K., & Sharma, S. S. (2018). Is stock return predictability time-varying? Journal of International Financial Markets, Institutions & Money, 52(1), 152–172. https://doi.org/10.1016/j.intfin.2017.06.001
- Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. https://doi.org/10.1080/01621459.1979.10482531
- Diether, K. B., Lee, K. H., & Werner, I. M. (2009). Short-sale strategies and return predictability. Review of Financial Studies, 22(2), 575–607. https://doi.org/10.1093/rfs/hhn047
- Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. https://doi.org/10.2307/1913236
- Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383–417. https://doi.org/https://doi:10.2307/2325486
- Fama, 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
- Ferreira, M. A., & Santa-Clara, P. (2011). Forecasting stock market returns: The sum of the parts is more than the whole. Journal of Financial Economics, 100(3), 514–537. https://doi.org/https://doi:10.1016/j.jfineco.2011.02.003
- Gregory, A. W., & Hansen, B. E. (1996). Practitioners corner: Tests for cointegration in models with regime and trend shifts. Oxford Bulletin of Economics and Statistics, 5(3), 555–560. https://doi.org/10.1111/j.1468-0084.1996.mp58003008.x
- Gregory, A. W., & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of Econometrics, 70(1),99–126. https://doi.org/10.1016/0304-4076(69)41685-7
- Güloğlu, B., Kangallı Uyar, S. G., & Uyar, U. (2016). Dynamic quantile panel data analysis of stock returns predictability. International Journal of Economics & Finance, 8(2), 115–126. https://doi.org/https://doi:10.5539/ijef.v8n2p115
- Gupta, R., Hammoudeh, S., Modise, M. P., & Nguyen, D. K. (2014). Can economic uncertainty, financial stress and consumer sentiments predict US equity premium? Journal of International Financial Markets, Institutions & Money, 33(1), 367–378. https://doi.org/10.1016/j.intfin.2014.09.004
- Gupta, R., & Modise, M. P. (2012a). South African stock return predictability in the context data mining: The role of financial variables and international stock returns. Economic Modelling, 29(3), 908–916. https://doi.org/10.1016/j.econmod.2011.12.013
- Gupta, R., & Modise, M. P. (2012b). Valuation ratios and stock return predictability in South Africa: Is it there? Emerging Markets Finance & Trade, 48(1), 70–82. https://doi.org/10.2753/REE1540-496X480104
- Gupta, R., & Modise, M. P. (2013). Macroeconomic variables and South African stock return predictability. Economic Modelling, 30(1), 612–622. https://doi.org/10.1016/j.econmod.2012.10.015
- Hao, L., & Naiman, D. Q. (2007). Quantile regression. Sage Publications. http://www.corwin.com/sites/default/files
- Hillebrand, E. (2005). Neglecting parameter changes in GARCH models. Journal of Econometrics, 129(1), 121–138. https://doi.org/10.1016/j.jeconom.2004.09.005
- Hodrick, R. J. (1992). Dividend yields and expected stock returns: Alternative procedures for inference and measurement. Review of Financial Studies, 5(3), 357–386. https://doi.org/10.1093/rfs/5.3.351
- Jefferis, K., & Smith, G. (2005). Capitalisation and weak-form efficiency in the JSE securities exchange. South African Journal of Economics, 72(4), 684–707. https://doi.org/10.1111/j.1813-6982.2004.tb00130.x
- Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration- with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x
- Jordan, S. J., Vivian, A. J., & Wohar, M. E. (2014). Forecasting returns: New European evidence. Journal of Empirical Finance, 26(1), 76–95. https://doi.org/10.1016/j.jempfin.2014.02.001
- Jung, J., & Shiller, R. J. (2005). Samuelson’s dictum and the stock market. Economic Inquiry, 43(2), 221–228. https://doi.org/10.1093/ei/cbi015
- Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1),1–44. https://doi.org/10.1016/S0304-4076(98)00023-2
- Kheradyar, S., Ibrahim, I., & Nor, F. M. (2011). Stock return predictability with financial ratios. International Journal of Trade, Economics & Finance, 2(5), 391–396. https://doi.org/https://doi:10.7763/ijtef.2011.v2.137
- Koenker, R., & Bassett, J. G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 46(1), 33–50. https://doi.org/10.2307/1913643
- Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143–156. https://doi.org/10.1257/jep.15.4.143
- Kostakis, A., Magdalinos, T., & Stamatogiannis, M. P. (2015). Robust econometric inference for stock return predictability. Review of Financial Studies, 28(5), 1506–1553. https://doi.org/10.1093/rfs/hhu139
- Kothari, S. P., & Shanken, J. (1997). Book-to-market, dividend yield, and expected market returns: A time-series analysis. Journal of Financial Economics, 44(2), 169–203. https://doi.org/10.1016/s0304-405x(97)00002-0
- Kruger, R. (2011). Evidence of return predictability on the Johannesburg stock exchange [Doctoral dissertation] University of Cape Town. http://hdl.handle.net/11427/11473
- Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178. http://dx.doi. org/10.1016/03044076
- Kwaitkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1), 159–178. https://doi.org/10.1016/0304-4076(92)90104-y
- Lewellen, J. (2004). Predicting returns with financial ratios. Journal of Financial Economics, 74(2), 209–235. https://doi.org/10.1016/j.jfineco.2002.11.002
- Li, J., & Yu, J. (2012). Investor attention, psychological anchors, and stock return predictability. Journal of Financial Economics, 104(2), 401–419. https://doi.org/10.1016/j.jfineco.2011.04.003
- Lintner, J. (1956). Distribution of incomes of corporations among dividends, retained earnings, and taxes. American Economic Review, 46(2), 97–113. https://www.jstor.org/stable/i332668
- Lo, A. W. (2004). The adaptive markets hypothesis. Journal of Portfolio Management, 30(5),15–29. https://doi.org/10.3905/jpm.2004.442611
- Lou, D. (2012). A flow-based explanation for return predictability. Review of Financial Studies, 25(12), 3457–3489. https://doi.org/10.1093/rfs/hhs103
- Ma, C., Xiao, S., & Ma, Z. (2018). Investor sentiment and the prediction of stock returns: A quantile regression approach. Applied Economics, 50(50), 5401–5415. https://doi.org/https://doi:10.1080/00036846.2018.1486993
- MacFarlane, A. (2011). Do macroeconomic variables explain future stock market movements in South Africa? [Doctoral dissertation]. University of Cape Town. http://hdl.handle.net/11427/12476
- Magnusson, M., & Wydick, B. (2002). How efficient are Africa’s emerging stock markets? Journal of Development Studies, 38(4), 141–156. https://doi.org/10.1080/00220380412331322441
- Markus, D., & Sormunen, J. (2018). A study of value investment strategies based on dividend yield, price-to-earnings, and price-to-book ratios in the Swedish stock market [Masters dissertation]. Jonkoping University. https://www.diva-portal.org/smash/get/diva2:1222141/fulltext01.pdf
- McMillan, D. G. (2010). Present value model, bubbles and returns predictability: Sector‐level evidence. Journal of Business Finance & Accounting, 37(5‐6), 668–686. https://doi.org/https://doi:10.1111/j.1468-5957.2009.02176.x
- Miller, M. H., & Rock, K. (1985). Dividend policy under asymmetric information. Journal of Finance, 40(4), 1031–1051. https://doi.org/10.1111/j.1540-6261.1985.tb02362.x
- Mittal, S. K., & Thakral, M. (2018). Testing the weak form of efficient market hypothesis: Empirical evidence for bullions and base metal segment of the Indian commodity market. Economic Affairs, 63(2), 575–581. https://doi.org/10.30954/0424-2513.2.2018.37
- Narayan, P. K. (2005). The saving and investment nexus for China: Evidence from cointegration tests. Applications Economics, 37(1), 1979–19990. https://doi.org/https://doi:10.1080/00036840500278103
- Narayan, P. K., & Gupta, R. (2015). Has oil price predicted stock returns for over a century? Energy Economics, 48(1), 18–23. https://doi.org/10.1016/j.eneco.2014.11.018
- Nargelecekenler, M. (2011). Stock prices and price/earnings ratio relationship: A sectoral analysis with panel data. Business & Economics Research Journal, 2(2), 165–184. https://repec:ris:buecrj:0048
- Nelson, C. R., & Kim, M. J. (1993). Predictable stock returns: The role of small sample bias. Journal of Finance, 48(2), 641–661. https://doi.org/https://doi:10.1111/j.1540-6261.1993.tb04731.x
- Olivier, A. M. (2018). The effect of South African and international macro-economic variables on the South African Stock Market [Doctoral dissertation]. University of Cape Town. http://hdl.handle.net/11427/29199
- Pane, L. (2016). Addressing the pitfalls of linear regression models in predicting stock returns in South Africa: Bayesian and non-parametric models [Doctoral dissertation]. University of Johannesburg. https://ujcontent.uj.ac.za
- Patel, P., Savani, J., & Poriya, N. (2017). Semi-strong form of market efficiency for dividend and bonus announcements: An empirical study of India stock markets. International Journal of Management, 6(1), 108–121. https://doi.org/https://doi:10.15410/aijm/2017/v6i1/120839
- Patelis, A. D. (1997). Stock return predictability and the role of monetary policy. Journal of Finance, 52(5), 1951–1972. https://doi.org/10.1111/j.1540-6261.1997.tb02747.x
- Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics & Statistics, 61(1),653–670. https://doi.org/10.1111/1468-0084.0610s1653
- Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3),597–625. https://doi.org/10.1017/S0266466604203073
- Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationship. Journal of Applied Economics, 16(1), 289–326. https://doi.org/https://doi:10.1002/jae.616
- Pettenuzzo, D., & Timmermann, A. (2011). Predictability of stock returns and asset allocation under structural breaks. Journal of Econometrics, 164(1), 60–78. https://doi.org/https://doi:10.1016/j.jeconom.2011.02.019
- Phan, D. H. B., Sharma, S. S., & Tran, V. T. (2018). Can economic policy uncertainty predict stock returns? Global evidence. Journal of International Financial Markets, Institutions & Money, 55(1), 134–150. https://doi.org/10.1016/j.intfin.2018.04.004
- Rapach, D. E., & Wohar, M. E. (2006). In-sample vs out-of-sample tests of stock return predictability in the context of data mining. Journal of Empirical Finance, 13(2), 231–247. https://doi.org/10.1016/j.jempfin.2005.08.001
- Rapach, D. E., Wohar, M. E., & Rangvid, J. (2005). Macro variables and international stock return predictability. International Journal of Forecasting, 21(1), 137–166. https://doi.org/10.1016/j.ijforecast.2004.05.004
- Rupande, L., Muguto, H. T., & Muzindutsi, P. F. (2019). Investor sentiment and stock return volatility: Evidence from the Johannesburg stock exchange. Cogent Economics & Finance, 7(1), 1600233. https://doi.org/10.1080/23322039.2019.1600233
- Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2),461–464. Doi: 10.1214/aos/1176344136
- Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464. https://doi.org/10.1214/aos/1176344136
- Shamsuddin, A., & Kim, J. H. (2010). Short horizon return predictability in international equity markets. Financial Review, 45(2), 469–484. https://doi.org/10.1111/j.1540-6288.2010.00256.x
- Simons, D. N., & Laryea, S. (2006). Testing the efficiency of African markets. Social Science Research Network Electronic Journal, 1(1), 1–31. https://doi.org/10.2139/ssrn.874808
- Smith, G. (2008). Liquidity and the informational efficiency of African stock markets. South African Journal of Economics, 76(2), 161–175. https://doi.org/10.1111/j.1813-6982.2008.00171.x
- Smith, G., & Dyakova, A. (2014). African stock markets: Efficiency and relative predictability. South African Journal of Economics, 82(2), 258–275. https://doi.org/10.1111/saje.12009
- Timmermann, A. (2001). Structural breaks, incomplete information, and stock prices. Journal of Business and Economic Statistics, 19(3), 299–314. https://doi.org/10.1198/073500101681019954
- Urquhart, A., & McGroarty, F. (2014). Calendar effects, market conditions and the adaptive market hypothesis: Evidence from long-run US data. International Review of Financial Analysis, 35(1), 154–166. https://doi.org/10.1016/j.irfa.2014.08.003
- Van Gysen, M., Huang, C. S., & Kruger, R. (2013). The performance of linear versus non-linear models in forecasting returns on the Johannesburg stock exchange. International Business & Economics Research Journal, 12(8), 985–994. https://doi.org/10.19030/iber.v12i8.7994
- Vergos, K., & Wanger, B. (2019). Evaluating interdependencies in African markets A VECM approach. Bulletin of Applied Economics, 6(1), 65–85. https://ideas.repec.org/a/rmk/rmkbae/v6y2019i1p65-85.html
- Wen, Y. C., Lin, P. T., Li, B., & Roca, E. (2015). Stock return predictability in South Africa: The role of major developed markets. Finance Research Letters, 15(1), 257–265. https://doi.org/10.1016/j.frl.2015.10.014
- Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics & Statistics, 69(6),709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
- Wu, C., & Wang, X. M. (2000). The predictive ability of dividend and earnings yields for long‐term stock returns. Financial Review, 35(2), 97–124. https://doi.org/10.1111/j.1540-6288.2000.tb01416.x
- Zaremba, A., & Czapkiewicz, A. (2017). Digesting anomalies in emerging European markets: A comparison of factor pricing models. Emerging Markets Review, 31(1), 1–15. https://doi.org/10.1016/j.ememar.2016.12.002
- Zhang, D., Wu, T. C., Chang, T., & Lee, C. H. (2012). Revisiting the efficient market hypothesis for African countries: Panel Surkss test with a Fourier function. South African Journal of Economics, 80(3), 287–300. https://doi.org/10.1111/j.1813-6982.2011.01314.x
- Zivot, E. A., & Andrews, D. (1992). Further evidence on the great crash, oil prices shock and the unit root hypothesis. Journal of Business & Economics Statistics, 10(3), 251–270. https://doi.org/10.2307/1391541
- Zivot, E., & Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 20(1),25–44. https://doi.org/10.1198/073500102753410372