Predictability of Stock Returns in Central and Eastern European Countries

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DOI:

https://doi.org/10.18778/0208-6018.358.02

Keywords:

stock return predictability, market ratios, CEE countries

Abstract

Stock return predictability in highly developed countries has both empirical and theoretical justification in financial literature. The article aims to answer the question if market valuation ratios that relate share prices to various accounting quantities have any predictive power for long‑term stock index returns on investments in capital markets of some Central and Eastern European countries, namely the Czech Republic, Hungary, Poland, and Russia. Heteroskedasticity and autocorrelation‑consistent estimators with a small‑sample degrees of freedom adjustment were used in regressions to track the overlapping data problem and small sample bias. The results of an investigation show that some of these ratios, such as price to a ten‑year moving average of real earnings, commonly known as the cyclically adjusted price earnings (CAPE) ratio, price to estimated profits, market to book value and price to sales revenues have a strong predictive power for cumulative returns mainly over long horizons. On the other hand, price to one‑year earnings, dividend yield or price to cash flow ratios prove to be quite poor predictors. Following the arguments of behavioural finance, we conclude that the evidence obtained in the study proving a fairly significant link between current values of market ratios and future cumulative returns indicates a certain degree of ineffectiveness of the analysed markets during the examined period.

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References

Ang A., Bekaert G. (2007), Stock Return Predictability: Is it There?, “The Review of Financial Studies”, Vol. 20, No. 3, pp. 651–707, https://doi.org/10.1093/rfs/hhl021
Google Scholar DOI: https://doi.org/10.1093/rfs/hhl021

Bannigidadmath D., Narayan P.K. (2015), Stock Return Predictability and Determinants of Predictability and Profits, “Emerging Markets Review”, Vol. 26, pp. 153–173, http://www.nber.org/papers/w8221 (accessed: 20.11.2021).
Google Scholar DOI: https://doi.org/10.1016/j.ememar.2015.12.003

Bansal R., Yaron A. (2004), Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles, “Journal of Finance”, Vol. 59, pp. 1481–1509, https://doi.org/10.1111/j.1540-6261.2004.00670.x
Google Scholar DOI: https://doi.org/10.1111/j.1540-6261.2004.00670.x

Bhargava V., Malhotra D.K. (2006), Do Price-Earnings Ratios Drive Stock Values?, “The Journal of Portfolio Management”, Vol. 33, No. 1, pp. 86–92, https://doi.org/10.3905/jpm.2006.661379
Google Scholar DOI: https://doi.org/10.3905/jpm.2006.661379

Campbell J.Y., Cochrane J.H. (1999), By Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behaviour, “Journal of Political Economy”, Vol. 107, pp. 205–251, http://doi.org/10.1086/250059
Google Scholar DOI: https://doi.org/10.1086/250059

Campbell J.Y., Shiller R.J. (1998), Valuation Ratios and the Long-Run Stock Market Outlook, “The Journal of Portfolio Management”, Vol. 24, No. 2, pp. 11–26, https://doi.org/10.3905/jpm.24.2.11
Google Scholar DOI: https://doi.org/10.3905/jpm.24.2.11

Campbell J.Y., Shiller R.J. (2001), Valuation Ratios and the Long-Run Stock Market Outlook: An Update, “Working Paper”, No. 8221, National Bureau of Economic Research, Cambridge, http://www.nber.org/papers/w8221.pdf (accessed: 20.11.2021).
Google Scholar DOI: https://doi.org/10.3386/w8221

Campbell J.Y., Thompson S.B. (2008), Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?, “The Review of Financial Studies”, Vol. 21, No. 4, pp. 1509–1531, https://doi.org/10.1093/rfs/hhm055
Google Scholar DOI: https://doi.org/10.1093/rfs/hhm055

Cochrane J.H. (2007), The Dog That Did Not Bark: A Defense of Return Predictability, “Review of Financial Studies”, Vol. 21, No. 4, pp. 1533–1575, https://doi.org/10.1093/rfs/hhm046
Google Scholar DOI: https://doi.org/10.1093/rfs/hhm046

Cole K., Helwege J., Laster D. (1996), Stock Market Valuation Indicators: Is This Time Different?, “Financial Analyst Journal”, Vol. 52, No. 3, pp. 56–64, https://doi.org/10.2469/faj.v52.n3.1996
Google Scholar DOI: https://doi.org/10.2469/faj.v52.n3.1996

Domian D.L., Reichestein W.R. (2009), Long-Horizon Stock Predictability: Evidence and Applications, “The Journal of Investing”, Vol. 18, No. 3, pp. 12–20.
Google Scholar DOI: https://doi.org/10.3905/JOI.2009.18.3.012

Fama E.F., French K. (1988), Dividend yields and expected stock return, “Journal of Financial Economics”, Vol. 22, pp. 3–25, https://doi.org/10.1016/0304-405X(88)90020-7
Google Scholar DOI: https://doi.org/10.1016/0304-405X(88)90020-7

Gajdka J., Pietraszewski P. (2020a), Output and Expected Returns in Central and Eastern European Countries, “Annales Universitatis Mariae Curie-Skłodowska. Sectio H – Oeconomia”, Vol. 54, No. 4, pp. 41–54, http://doi.org/10.17951/h.2020.54.4.41-54
Google Scholar DOI: https://doi.org/10.17951/h.2020.54.4.41-54

Gajdka J., Pietraszewski P. (2020b), Prognozowalność długookresowych stóp zwrotu na polskim rynku akcji, “Przedsiębiorczość i Zarządzanie”, Vol. 21, No. 1, pp. 101–115.
Google Scholar

Goyal A., Welch I . (2003), Predicting the Equity Premium with Dividend Ratios, “Management Science”, Vol. 49, No. 5, pp. 639–654, http://doi.org/10.1287/mnsc.49.5.639.15149
Google Scholar DOI: https://doi.org/10.1287/mnsc.49.5.639.15149

Goyal A., Welch I . (2008), A Comprehensive Look at the Empirical Performance of Equity Premium Prediction, “The Review of Financial Studies”, Vol. 21, No. 4, pp. 1455–1508, https://doi.org/10.1093/rfs/hhm014
Google Scholar DOI: https://doi.org/10.1093/rfs/hhm014

Goyal A., Welch I., Zafirov A. (2021), A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II , “Swiss Finance Institute Research Paper”, No. 21–85, http://doi.org/10.2139/ssrn.3929119
Google Scholar DOI: https://doi.org/10.2139/ssrn.3929119

Hansen L., Hodrick R. (1980), Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis, “Journal of Political Economy”, Vol. 88, No. 5, pp. 829–853.
Google Scholar DOI: https://doi.org/10.1086/260910

Harri A., Brorsen B.W. (2009), The Overlapping Data Problem, “Quantitative and Qualitative Analysis in Social Sciences”, Vol. 3, No. 3, pp. 78–115, https://www.academia.edu/15822903/The_overlapping_data_problem (accessed: 20.11.2021).
Google Scholar

Hodrick R.J. (1992), Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement, “Review of Financial Studies”, Vol. 5, No. 3, pp. 357–386, https://www0.gsb.columbia.edu/mygsb/faculty/research/pubfiles/1103/Hodrick_RFS1992.pdf (accessed: 20.11.2021).
Google Scholar DOI: https://doi.org/10.1093/rfs/5.3.351

Indrayono Y. (2019), Predicting returns with financial ratios: Evidence from Indonesian Stock Exchange, “Management Science Letters”, Vol. 9, No. 11, pp. 1901–1908, https://doi.org/10.5267/j.msl.2019.6.003
Google Scholar DOI: https://doi.org/10.5267/j.msl.2019.6.003

Inoue A., Kilian L. (2004), In-Sample or Out-of-Sample Tests: Which One Should We Use?, “Econometric Reviews”, Vol. 23, No. 4, pp. 371–402, https://doi.org/10.1081/ETC-200040785
Google Scholar DOI: https://doi.org/10.1081/ETC-200040785

Keimling N. (2016), Predicting stock market returns using the Shiller CAPE – an improvement towards traditional value indicators?, “SSRN Electronic Journal”, http://doi.org/10.2139/ssrn.2736423
Google Scholar DOI: https://doi.org/10.2139/ssrn.2736423

Kheradyar S., Ibrahim I., Nor F.M. (2011), Stock Return Predictability with Financial Ratios, “International Journal of Trade, Economics and Finance”, Vol. 2, No. 5, pp. 391–396, https://doi.org/10.7763/IJTEF.2011.V2.137
Google Scholar DOI: https://doi.org/10.7763/IJTEF.2011.V2.137

Kirby C. (1997), Measuring the Predictable Variation in Stock Returns, “The Review of Financial Studies”, Vol. 10, No. 3, pp. 579–630, https://doi.org/10.1093/rfs/10.3.579
Google Scholar DOI: https://doi.org/10.1093/rfs/10.3.579

Klement J. (2012), Does the Shiller-PE Work in Emerging Markets?, “SSRN Electronic Journal”, http://doi.org/10.2139/ssrn.2088140
Google Scholar DOI: https://doi.org/10.2139/ssrn.2088140

Klement J. (2015), CAPE Around the World Update 2015 – Return Differences and Exchange Rate Movements, “SSRN Electronic Journal”, http://doi.org/10.2139/ssrn.2626725
Google Scholar DOI: https://doi.org/10.2139/ssrn.2626725

Kuciński A. (2013), Znaczenie wskaźników rynkowych w ocenie atrakcyjności inwestycyjnej spółek giełdowych, Państwowa Wyższa Szkoła Zawodowa im. Jakuba z Paradyża w Gorzowie Wielkopolskim, “Studia i Prace Wydziału Ekonomicznego”, No. 1, pp. 87–98.
Google Scholar

Lettau M., Ludvigson S. (2001), Consumption, aggregate wealth and expected stock returns, “Journal of Finance”, Vol. 56, No. 3, pp. 815–849, https://doi.org/10.1111/0022-1082.00347
Google Scholar DOI: https://doi.org/10.1111/0022-1082.00347

Nelson C.R., Kim M.J. (1993), Predictable Stock Returns: The Role of Small Sample Bias, “Journal of Finance”, Vol. 48, pp. 641–661, https://www.jstor.org/stable/2328916 (accessed: 20.11.2021).
Google Scholar DOI: https://doi.org/10.1111/j.1540-6261.1993.tb04731.x

Newey W.K., West K.D. (1987), A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix, “Econometrica”, Vol. 55, No. 3, pp. 703–708, https://www.ssc.wisc.edu/~kwest/publications/1980/A%20Simple%20PSD%20HAC%20Covariance%20Matrix.pdf (accessed: 20.11.2021).
Google Scholar DOI: https://doi.org/10.2307/1913610

Philips T., Kobor A. (2020), Ultra-simple Shiller’s CAPE: how one year’s data can predict equity market returns better than ten, “Journal of Portfolio Management”, Vol. 46, No. 4, pp. 140–155, https://doi.org/10.3905/jpm.2020.1.124
Google Scholar DOI: https://doi.org/10.3905/jpm.2020.1.124

Philips T.K., Ural C. (2016), Uncloaking Campbell and Shiller’s CAPE: a comprehensive guide to its construction and use, “Journal of Portfolio Management”, Vol. 43, No. 1, pp. 109–125, https://doi.org/10.3905/jpm.2016.43.1.109
Google Scholar DOI: https://doi.org/10.3905/jpm.2016.43.1.109

Prusak B. (2008), Stopy zwrotu z akcji a wskaźniki rynkowe, “Ekonomika i Organizacja Przedsiębiorstwa”, No. 2, pp. 53–60, http://bazekon.icm.edu.pl/bazekon/element/bwmeta1.element.ekon-element-000150063080?q=bwmeta1.element.ekon-element-8ac2916d-1faa-3d82-b609-953f3a4dee9a;6&qt=CHILDREN-STATELESS (accessed: 20.11.2021).
Google Scholar

Radha S.S. (2018), A Prognostic Yield Measure for Country Selection in the Medium Term Using Shiller’s PE, “The Journal of Index Investing”, Vol. 9, No. 1, pp. 49–65, https://doi.org/10.3905/jii.2018.1.060
Google Scholar DOI: https://doi.org/10.3905/jii.2018.1.060

Rangvid J. (2006), Output and expected returns, “Journal of Financial Economics”, Vol. 81, No. 3, pp. 595–624, https://doi.org/10.1016/j.jfineco.2005.07.010
Google Scholar DOI: https://doi.org/10.1016/j.jfineco.2005.07.010

Rapach D.E., Strauss J.K., Zhou G. (2013), International Stock Return Predictability: What Is the Role of the United States?, “The Journal of Finance”, vol. LXVIII, No. 4, pp. 1633–1662, https://doi.org/10.1111/jofi.12041
Google Scholar DOI: https://doi.org/10.1111/jofi.12041

Rapach D.E., Wohar M.E., Rangvid J. (2005), Macro variables and international stock return predictability, “International Journal of Forecasting”, Vol. 21, No. 1, pp. 137–166, https://doi.org/10.1016/j.ijforecast.2004.05.004
Google Scholar DOI: https://doi.org/10.1016/j.ijforecast.2004.05.004

Robertson D., Wright S. (2006), Dividends, Total Cash Flow to Shareholders, and Predictive Return Regressions, “The Review of Economics and Statistics”, Vol. 88, No. 1, pp. 91–99, https://doi.org/10.2139/ssrn.423981
Google Scholar DOI: https://doi.org/10.1162/rest.2006.88.1.91

Santos T., Veronesi P. (2006), Labor Income and Predictable Stock Returns, “The Review of Financial Studies”, Vol. 19, No. 1, pp. 1–44, https://doi.org/10.2139/ssrn.235007
Google Scholar DOI: https://doi.org/10.1093/rfs/hhj006

Sekuła P. (2016), Strategia wartości – test na GPW w Warszawie, “Annales Universitatis Mariae Curie-Skłodowska. Sectio H – Oeconomia”, Vol. 50, No. 4, pp. 414–421.
Google Scholar DOI: https://doi.org/10.17951/h.2016.50.4.413

Shiller R.J. (2014), Speculative Asset Prices (Nobel Prize Lecture), “Cowles Foundation Discussion Paper”, No. 1936, http://doi.org/10.2139/ssrn.2391284
Google Scholar DOI: https://doi.org/10.2139/ssrn.2391284

Sims C.A. (1984), Martingale-Like Behavior of Prices and Interest Rates, “Discussion Paper”, No. 205, Center for Economic Research, Department of Economics, University of Minnesota, http://sims.princeton.edu/yftp/martpric/Newmart4.pdf (accessed: 20.11.2021).
Google Scholar

Stambaugh R.F. (1999), Predictive regressions, “Journal of Financial Economics”, Vol. 54, No. 3, pp. 375–421, https://doi.org/10.1016/S0304-405X(99)00041-0
Google Scholar DOI: https://doi.org/10.1016/S0304-405X(99)00041-0

Trevino R., Robertson F. (2002), P/E Ratios and Stock Market Returns, “Journal of Financial Planning”, Vol. 15, No. 2, pp. 76–84.
Google Scholar

Weigand R., Irons R. (2007), The market P/E ratio, earnings trends, and stock return forecasts, “The Journal of Portfolio Management”, Vol. 33, No. 4, pp. 87–101, https://doi.org/10.3905/jpm.2007.690610
Google Scholar DOI: https://doi.org/10.3905/jpm.2007.690610

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Published

2022-07-12

How to Cite

Pietraszewski, P. (2022). Predictability of Stock Returns in Central and Eastern European Countries. Acta Universitatis Lodziensis. Folia Oeconomica, 1(358), 14–31. https://doi.org/10.18778/0208-6018.358.02

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