Abstract
ABSTRACT This paper examines stock returns and dividend growth predictability using dividend yields in seven developed markets: United States of America (US), United Kingdom (UK), Japan, France, Germany, Italy, and Spain. Altogether, these countries account for around 85% of the Morgan Stanley Capital International (MSCI) World Index. The use of the long time series with up-to-date data allows the comparison not only between countries, but also across periods, putting into perspective the existence or not of noticeable changes since the 1980’s. The majority of the literature on this topic is US-centered. This emphasis on the US is even more pronounced when it comes to examining the relationship between the dividend unpredictability and dividend smoothing. There is also the need to know if the relationships already documented for the post-Second World War (WWII) period still hold during the last three decades, when stock markets were subjected to a high level of turbulence worldwide. The relationship between dividend yields and returns and dividend growth is central to understand the functioning of capital markets, and has considerable implications for capital asset pricing and investment strategies. Overall, the results show that even for developed capital markets there is no clear pattern on the predictive ability of dividend yields on stock returns and dividend growth, instead these relationships seem to be time-dependent and country-specific. For each country, the predictive ability of the dividend yield is examined in a first-order structural VAR framework by applying bootstrap significance tests and the degree of dividend smoothing is assessed using four partial-adjustment models for the dividend behavior. Additionally, an out-of-sample analysis is conducted using pseudo-R2 and a normal mean squared prediction error (MSPE) adjusted statistic. For the post-WWII period, returns are predictable, but dividends are unpredictable in the US and the UK, while the opposite pattern is observed in Spain and Italy. In Germany, there is some evidence of short-term predictability for both returns and dividends, while in France only returns are predictable. In Japan, neither variable can be forecasted. The dividend smoothing results show that dividends are more persistent in the US and the UK, however, there is no clear connection between dividend smoothness and predictability for the other countries. An important conclusion to retain from the out-of-sample analysis is that the predictability of returns after the WWII, especially present in the US, appeared to have been missing in the last three decades, most probably due to the turmoil experienced by the stock markets during this last period.
Highlights
The relationship between dividend yield and returns and dividend growth is a central issue to understand the functioning of capital markets and has considerable implications for capital asset pricing and portfolio investment strategies
This paper is in line with Cochrane (2008), who constructs a joint test for the return and dividend growth predictability using just the dividend yield as the regressor
The VAR systems are estimated by ordinary least squares (OLS)
Summary
The relationship between dividend yield and returns and dividend growth is a central issue to understand the functioning of capital markets and has considerable implications for capital asset pricing and portfolio investment strategies. This paper contributes to the existing literature by providing additional international evidence on the predictive power of the dividend yield on returns and dividend growth. The aim of the paper is not to construct significant and robust forecasts of returns and dividend growth, which, arguably would be better achieved by including other economic and financial variables as regressors, than just only the dividend yield. To give more robustness to our results, we conduct an out-of-sample analysis on the forecasting ability of the dividend yields. The methodologies used in our paper have been used elsewhere, our paper has some strengths It uses up-to-date data including the post 2007 financial crisis period, it compares the results across the most important stock markets in the world and for the US or the UK, and it combines in- and out-of-sample analyses
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