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The dividend-price ratio does predict dividend growth: International evidence

Citations

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Cited by:

  1. David G. McMillan, 2017. "Stock return predictability: the role of inflation and threshold dynamics," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 357-375, May.
  2. Lan, Chunhua & Doan, Bao, 2022. "Stock price movements: Evidence from global equity markets," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 123-143.
  3. Polimenis, Vassilis & Neokosmidis, Ioannis M., 2016. "The modified dividend–price ratio," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 31-38.
  4. Zhu, Min & Chen, Rui & Du, Ke & Wang, You-Gan, 2018. "Dividend growth and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 125-137.
  5. Engsted, Tom & Pedersen, Thomas Q., 2012. "Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 241-253.
  6. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
  7. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
  8. Engsted, Tom & Pedersen, Thomas Q. & Tanggaard, Carsten, 2012. "Pitfalls in VAR based return decompositions: A clarification," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1255-1265.
  9. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
  10. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2014. "Dividend Predictability Around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1255-1277, December.
  11. Thomas Nitschka, 2014. "The Good? The Bad? The Ugly? Which news drive (co)variation in Swiss and US bond and stock excess returns?," Working Papers 2014-01, Swiss National Bank.
  12. Thomas Nitschka, 2014. "What News Drive Variation in Swiss and US Bond and Stock Excess Returns?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 89-118, June.
  13. Maio, Paulo & Philip, Dennis, 2015. "Macro variables and the components of stock returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 287-308.
  14. Lawrenz, Jochen & Zorn, Josef, 2018. "Decomposing the predictive power of local and global financial valuation ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 137-149.
  15. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
  16. Kaizoji, Taisei & Leiss, Matthias & Saichev, Alexander & Sornette, Didier, 2015. "Super-exponential endogenous bubbles in an equilibrium model of fundamentalist and chartist traders," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 289-310.
  17. Lof, Matthijs & Nyberg, Henri, 2024. "Discount rates and cash flows: A local projection approach," Journal of Banking & Finance, Elsevier, vol. 162(C).
  18. David R. Haab & Thomas Nitschka, 2019. "What Goliaths and Davids among Swiss firms tell us about expected returns on Swiss asset markets," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-17, December.
  19. David Haab & Thomas Nitschka, 2017. "Predicting returns on asset markets of a small, open economy and the influence of global risks," Working Papers 2017-14, Swiss National Bank.
  20. Tom Engsted & Thomas Q. Pedersen, 2016. "The predictive power of dividend yields for future infl?ation: Money illusion or rational causes?," CREATES Research Papers 2016-11, Department of Economics and Business Economics, Aarhus University.
  21. Vassilis Polimenis & Ioannis Neokosmidis, 2019. "Non-stationary dividend-price ratios," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 552-567, December.
  22. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
  23. David McMillan & Mark Wohar, 2013. "UK stock market predictability: evidence of time variation," Applied Financial Economics, Taylor & Francis Journals, vol. 23(12), pages 1043-1055, June.
  24. Catherine Georgiou, 2022. "Modifications on Book-Valued Ratios," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 15(3), pages 24-37, December.
  25. Tom Engsted & Thomas Q. Pedersen, 2018. "Disappearing money illusion," CREATES Research Papers 2018-24, Department of Economics and Business Economics, Aarhus University.
  26. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
  27. Dooruj McRambaccussing, 2015. "Moment Matching in the Present Value identity, and a New Model," Dundee Discussion Papers in Economics 291, Economic Studies, University of Dundee.
  28. Acker, Daniella & Duck, Nigel W., 2013. "Inflation illusion and the US dividend yield: Some further evidence," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 235-254.
  29. McMillan, David G., 2014. "Stock return, dividend growth and consumption growth predictability across markets and time: Implications for stock price movement," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 90-101.
  30. repec:zbw:bofrdp:2017_001 is not listed on IDEAS
  31. Maio, Paulo & Xu, Danielle, 2020. "Cash-flow or return predictability at long horizons? The case of earnings yield," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 172-192.
  32. Cheolbeom Park & Dong-hun Shin, 2014. "Stock Market Predictability: Global Evidence and an Explanation," Discussion Paper Series 1405, Institute of Economic Research, Korea University.
  33. Charles, Amélie & Darné, Olivier & Kim, Jae H., 2017. "International stock return predictability: Evidence from new statistical tests," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 97-113.
  34. Joe, Denis Yongmin & Oh, Frederick Dongchuhl & Park, Cheolbeom, 2018. "Control-ownership disparity and stock market Predictability: Evidence from Korean chaebols," Finance Research Letters, Elsevier, vol. 27(C), pages 6-11.
  35. Møller, Stig V. & Sander, Magnus, 2017. "Dividends, earnings, and predictability," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 153-163.
  36. Guidolin, Massimo & McMillan, David G. & Wohar, Mark E., 2013. "Time varying stock return predictability: Evidence from US sectors," Finance Research Letters, Elsevier, vol. 10(1), pages 34-40.
  37. Lawrenz, Jochen & Zorn, Josef, 2017. "Predicting international stock returns with conditional price-to-fundamental ratios," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 159-184.
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