2019
DOI: 10.1016/j.ribaf.2018.12.014
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Stock return predictability: Using the cyclical component of the price ratio

Abstract: We examine whether the cyclical component of the log dividend-price and price-earnings ratios contain forecast power for stock returns. While the levels of these series contain slow moving information for predicting long horizon returns, they typically provide poor short horizon forecasts. Using three approaches to extract the ratios cyclical component, we conduct several in-and out-of-sample tests. In-sample estimation using the cyclical component leads to economically sensible values, as well as an improved … Show more

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Cited by 7 publications
(2 citation statements)
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References 78 publications
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“…Furthermore, Boudry(2011) supported that REIT dividend is considerable important variation factors as dividend payout indicated the excess and healthy cash flow the firm to meet the contractual liability. Moreover, McMillan(2019) found there is relative movement between stock return and the dividend yield, the stock price contains predictive power in accelerating toward the dividend declaration. In this study there is a strong with coefficient to predict the future stock return of 2.6871 and 2.8067 for conventional and Islamic REIT stock return respectively.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Furthermore, Boudry(2011) supported that REIT dividend is considerable important variation factors as dividend payout indicated the excess and healthy cash flow the firm to meet the contractual liability. Moreover, McMillan(2019) found there is relative movement between stock return and the dividend yield, the stock price contains predictive power in accelerating toward the dividend declaration. In this study there is a strong with coefficient to predict the future stock return of 2.6871 and 2.8067 for conventional and Islamic REIT stock return respectively.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Additionally, the fact that the CAPE ratio has been able to predict two forthcoming crises, i.e. the dot-com bubble (2002) and the housing bubble (2007–2009), has made it very attractive (Philips and Kobor 2020 ; Radha 2018 ; McMillan 2019 ; Samitas, et al 2020 ).…”
Section: Introductionmentioning
confidence: 99%