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Dividends, prices and the present value model: firm-level evidence

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  • John Goddard
  • David Mcmillan
  • John Wilson

Abstract

Recent stock price movements have led to a re-examination of the present value model. Typically, empirical studies have employed a long span of US stock market index data, and have attributed a failure to detect cointegration to the presence of bubbles. This study considers UK firm-level data, and implements panel unit root and cointegration tests. Recent panel tests that allow for cross-sectional dependence control for factors such as bubbles that may result in temporary deviations from the long-run price-dividend relationship. The panel test results largely support the present value model, yielding evidence of cointegration between real prices and dividends.

Suggested Citation

  • John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    • Handle: RePEc:taf:eurjfi:v:14:y:2008:i:3:p:195-210
    DOI: 10.1080/13518470801890792
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    Cited by:

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    2. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    3. Sudatta Bharati Mohapatra & Nirmal Chandra Kar, 2022. "Revisiting the Long-Run Dynamic Linkage between Dividends and Share Price with Advanced Panel Econometrics Techniques," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    4. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector-Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5-6), pages 668-686.
    5. McMillan, David G., 2019. "Predicting firm level stock returns: Implications for asset pricing and economic links," The British Accounting Review, Elsevier, vol. 51(4), pages 333-351.
    6. Lee, Chien-Chiang & Lee, Cheng-Feng & Lee, Chi-Chuan, 2014. "Asymmetric dynamics in REIT prices: Further evidence based on quantile regression analysis," Economic Modelling, Elsevier, vol. 42(C), pages 29-37.

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