2021
DOI: 10.1016/j.jcorpfin.2021.101892
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U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?

Abstract: This paper thoroughly integrates speculative bubbles to corporate finance literature by focusing on dividend policy issues. More specifically, we examine the importance of dividend policy when testing for speculative bubbles in the S&P 500 equity index on a data set spanning 1871 to 2014. Given the phenomenon of dividend smoothing, in particular in the U.S., we question the usefulness of observed dividend payments as fundamental factor in testing for bubbles. Circumventing dividend smoothing, we construct hypo… Show more

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Cited by 23 publications
(9 citation statements)
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References 65 publications
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“…This finding is interesting because it is compatible with the predictions of the dividend discount model (see, for example, Charteris and Chipunza 2020 ; and Basse et al. 2021 ). In any case, the empirical evidence presented in this study does not suggest any major risks that the stock prices considered here will react too strongly to adjustments in dividend payments.…”
Section: Empirical Analysissupporting
confidence: 81%
“…This finding is interesting because it is compatible with the predictions of the dividend discount model (see, for example, Charteris and Chipunza 2020 ; and Basse et al. 2021 ). In any case, the empirical evidence presented in this study does not suggest any major risks that the stock prices considered here will react too strongly to adjustments in dividend payments.…”
Section: Empirical Analysissupporting
confidence: 81%
“…Like the dot-com bubble period in the stock market, the public invests mainly in technology stocks, which are frequently discussed in the media and described as having brilliant growth potential. 16 Even without following the Buffett index, one can see that the US stock market indices in 2020, especially the NASDAQ 100, have a huge bubble. In 15 years, the US GDP rose only 10.49%, while the NASDAQ 100 rose 683.36%.…”
Section: Discussionmentioning
confidence: 99%
“…For firms' financial information, we follow Gul, Cheng, and Leung (2011) and include firm size ( Size t‐1 ), the trading year from the year of IPO of firms ( Age ), earnings per share ( Eps t‐1 ). We also follow Gul, Srinidhi, and Ng (2011), Jang and Kang (2019), and Basse et al (2021) to include return on equity ( Roe t‐1 ), stock return of the previous day ( Return t‐1 ), and the dividend status of the firms ( Dividend t‐1 ) in the regression. To alleviate the effect of outliers, we winsorize Roe t‐1 , Eps t‐1 , and Return t‐1 at the 1% and 99% levels.…”
Section: Data Sample and Empirical Specificationmentioning
confidence: 99%