Disappearing Dividends: Implications for the Dividend–Price Ratio and Return Predictability

The conventional dividend–price ratio is highly persistent, and the literature reports mixed evidence on its role in predicting stock returns. We argue that the decreasing number of firms with a traditional dividend‐payout policy is responsible for these results, and develop a model in which the long‐run relationship between the dividends and stock price is time varying. An adjusted dividend–price ratio that accounts for the time‐varying long‐run relationship is considerably less persistent. Furthermore, the predictive regression model that employs the adjusted dividend–price ratio as a regressor outperforms the random‐walk model. These results are robust with respect to the firm size.     

Disclosure Risk and Price Drift

Disclosures play an apparently critical role in the empirical regularity of the short‐run momentum and long‐run reversal in stock returns. Motivated by this evidence, this paper integrates an analysis of disclosures within an asset pricing model to arrive at a framework in which disclosures and asset returns are jointly determined. Disclosures resolve uncertainty, but the increased information flow also raises the risks during the disclosure period. When disclosures and asset returns are modeled jointly, apparently good news is associated with the upward revision of future disclosure risks. The model generates predictions that have the outward appearance of short‐run momentum and long‐run reversal.     

Dividend Consistency: Rewards,Learning, and Expectations

The fact that many companies have a long track record of consistent dividend increases suggests that managers believe there is some benefit to establishing and maintaining such a pattern. Many companies, for example, follow a perennial policy of increasing the dividend in a particular quarter, maintaining it at the same level for the next three quarters, and then increasing it in the same quarter of the following year. But does the capital market reward companies for maintaining a consistent dividend policy? Do companies with a history of repeated dividend increases earn long‐term positive abnormal returns; and if so, how long do the returns persist? The authors find that companies earned significantly positive abnormal returns following each of the first five annual dividend increases, over and above the positive announcement‐month returns. Nevertheless, the reward decreases as the track record of dividend increases becomes longer. After the first dividend increase, companies enjoy significantly positive returns for the next two years. Companies that increase the dividend in the same quarter of the following year also enjoy significant positive returns, but returns that are smaller (and less statistically significant) than in the case of first‐time dividend increases. And as the dividend‐increase track record further lengthens, the size and statistical significance of the abnormal returns continues to shrink; and after the sixth dividend increase, the abnormal returns in the next twelve months are statistically indistinguishable from zero. In sum, although there is some support for maintaining a consistent dividend policy, the market response diminishes over time, and investors do not earn abnormal returns by buying stocks whose annual dividend has already been increased six or more times.     

Accounting Ratios and the Cross‐section of Expected Stock Returns

Under clean‐surplus accounting, the log return on a stock can be decomposed into a linear function of the contemporaneous log return on equity, the contemporaneous log dividend–price ratio (if the stock pays a dividend), and both the contemporaneous and lagged values of the log book‐to‐market equity ratio. This paper studies the implications of this decomposition for the cross‐section of conditional expected stock returns. The empirical analysis reveals that the log accounting ratios capture cross‐sectional variation in both the conditional mean and conditional variance of log stock returns, which is consistent with the decomposition. It also brings fresh insights to the relation between firm size (market equity) and conditional expected stock returns. The evidence indicates that the conditional median return increases with firm size, while the conditional return skewness decreases with firm size. Empirically, the skewness effect outweighs the median effect, leading to the well‐documented inverse relation between size and average returns. The results of out‐of‐sample tests suggest that investors could use the information provided by the observed values of the log accounting ratios to formulate more effective portfolio strategies.     

Four centuries of return predictability

We combine annual stock market data for the most important equity markets of the last four centuries: the Netherlands and UK (1629–1812), UK (1813–1870), and US (1871–2015). We show that dividend yields are stationary and consistently forecast returns. The documented predictability holds for annual and multi-annual horizons and works both in- and out-of-sample, providing strong evidence that expected returns in stock markets are time-varying. In part, this variation is related to the business cycle, with expected returns increasing in recessions. We also find that, except for the period after 1945, dividend yields predict dividend growth rates.     

A STATE‐SPACE MODEL OF SHORT‐ AND LONG‐HORIZON STOCK RETURNS

In this article we propose a new parsimonious state‐space model in which state variables characterize the stochastic movements of stock returns. Using the equally weighted and decile monthly stock returns, we show that (a) a parsimonious state‐space model characterizes the variation in expected returns at any horizon; (b) the extracted expected returns explain a substantial proportion of the variance in realized returns, and the magnitude of this proportion increases significantly with the horizon of returns; (c) the model successfully captures the empirical fact that returns of smaller firms have both stronger positive autocorrelations of short‐horizon returns and stronger negative autocorrelations of long‐horizon returns; and (d) the forecasts of asset returns obtained with the state‐space model subsume the information in other potential predictor variables such as dividend yields. JEL classification: G10, G12.     

Cash Flow News and Stock Price Dynamics

We develop a new approach to modeling dynamics in cash flows extracted from daily firm-level dividend announcements. We decompose daily cash flow news into a persistent component, jumps, and temporary shocks. Empirically, we find that the persistent cash flow component is a highly significant predictor of future growth in dividends and consumption. Using a log-linearized present value model, we show that news about the persistent dividend growth component predicts stock returns consistent with asset pricing constraints implied by this model. News about the daily dividend growth process also helps explain concurrent return volatility and the probability of jumps in stock returns.     

Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles

We model consumption and dividend growth rates as containing (1) a small long‐run predictable component, and (2) fluctuating economic uncertainty (consumption volatility). These dynamics, for which we provide empirical support, in conjunction with Epstein and Zin's (1989) preferences, can explain key asset markets phenomena. In our economy, financial markets dislike economic uncertainty and better long‐run growth prospects raise equity prices. The model can justify the equity premium, the risk‐free rate, and the volatility of the market return, risk‐free rate, and the price–dividend ratio. As in the data, dividend yields predict returns and the volatility of returns is time‐varying.     

Imperfect Information and Stock Market Volatility

The purpose of this paper is to (1) develop a model to show how imperfect information can create excess volatility in asset returns and (2) provide empirical evidence consistent with the model. In this framework, variations in information quality cause the market prices to fluctuate more than the corresponding economic fundamentals. Using high‐frequency data from 1988 to 2002, the empirical evidence supports the predictions of the model by showing that economic volatility, defined as squared deviations of the quarterly gross domestic product (GDP) growth rate from its long‐run trend, can explain about half of the variation in S&P 500‐stock index quarterly volatility.     

The Predictive Ability of Dividend and Earnings Yields for Long-Term Stock Returns

We use empirical models to examine the predictive ability of dividend and earnings yields for long‐term stock returns. Results show that dividend and earnings yields share a similar predictive power for future stock returns and growth. We find that the predictive power of dividend yields increases with the return horizon, but that yields forecast future returns and growth over a much longer horizon. Finally, dividend and earnings yields exhibit high autocorrelation and strong contemporaneous relations.     

Informed Options Trading Prior to Dividend Change Announcements

This paper investigates the information content of options trading prior to dividend change announcements. I find a positive (negative) relation between pre‐announcement abnormal implied volatility (IV) spread (abnormal IV skew) and cumulative abnormal stock returns around dividend change announcements. The predictive power of informed options trading is stronger for announcements of dividend reduction and when the options market is more liquid relative to the stock market and weaker when information has already been incorporated in the stock market. The predictability of informed options trading is robust to a placebo test and alternative measures of informed options trading. Overall results suggest that informed options trading predicts dividend change announcement returns.     

Predicting dividends in log-linear present value models

In a present value model, high dividend yields imply that either future dividend growth must be low, or future discount rates must be high, or both. While previous studies have largely focused on the predictability of future returns from dividend yields, dividend yields also strongly predict future dividends, and the predictability of dividend growth is much stronger than the predictability of returns at a one-year horizon. Inference from annual regressions over the 1927–2000 sample imputes over 85% of the variation of log dividend yields to variations in dividend growth. Point estimates of the predictability of both dividend growth and discount rates are stronger when the 1990–2000 decade is omitted.     

Stock Market Volatility and Learning

We show that consumption‐based asset pricing models with time‐separable preferences generate realistic amounts of stock price volatility if one allows for small deviations from rational expectations. Rational investors with subjective beliefs about price behavior optimally learn from past price observations. This imparts momentum and mean reversion into stock prices. The model quantitatively accounts for the volatility of returns, the volatility and persistence of the price‐dividend ratio, and the predictability of long‐horizon returns. It passes a formal statistical test for the overall fit of a set of moments provided one excludes the equity premium.     

Dividend Stability, Dividend Yield and Stock Returns: UK Evidence

This paper establishes an empirical role for two measures of dividend stability (as a proxy for dividend policy) in explaining UK stock returns. There is little systematic empirical evidence concerning the relation between dividend stability, dividend yield and stock returns despite the fact that a variety of theoretical models point to dividend policy as an important stock attribute. Here we construct two definitions of dividend stability, one of which involves dividend cuts, and use a sample of all listed UK firms from 1975 to 1997 to explore the relationship between stock returns and a variety of characteristics, including dividend stability. We find an inverse correlation between the stability of past dividend policy and systematic risk. Both stability measures have explanatory power over returns, but this is concentrated in January.     

Predicting dividends in log-linear present value models

In a present value model, high dividend yields imply that either future dividend growth must be low, or future discount rates must be high, or both. While previous studies have largely focused on the predictability of future returns from dividend yields, dividend yields also strongly predict future dividends, and the predictability of dividend growth is much stronger than the predictability of returns at a one-year horizon. Inference from annual regressions over the 1927–2000 sample imputes over 85% of the variation of log dividend yields to variations in dividend growth. Point estimates of the predictability of both dividend growth and discount rates are stronger when the 1990–2000 decade is omitted.     

The Effect of Managerial Ownership on the Short- and Long-run Response to Cash Distributions

We examine both the short‐run and long‐run responses to the following corporate cash flow transactions: dividend increases and decreases, dividend initiations, and tender offer repurchases. Our focus is the short‐run and long‐run effects of managerial ownership. We hypothesize that ownership plays an important role in explaining the announcement effects for these events, owing to signaling effects and the reduction of agency problems. Our short‐run results accord well with the earlier work on announcement effects for these events and show that firms with high insider ownership exhibit higher excess returns. Our long‐term results indicate a drift over a three‐year period following the announcement, with the excess returns for the high insider‐ownership group becoming more pronounced.     

Dividend Stability, Dividend Yield and Stock Returns: UK Evidence

This paper establishes an empirical role for two measures of dividend stability (as a proxy for dividend policy) in explaining UK stock returns. There is little systematic empirical evidence concerning the relation between dividend stability, dividend yield and stock returns despite the fact that a variety of theoretical models point to dividend policy as an important stock attribute. Here we construct two definitions of dividend stability, one of which involves dividend cuts, and use a sample of all listed UK firms from 1975 to 1997 to explore the relationship between stock returns and a variety of characteristics, including dividend stability. We find an inverse correlation between the stability of past dividend policy and systematic risk. Both stability measures have explanatory power over returns, but this is concentrated in January.     

Alternative Methods for Projecting Equity Returns: Implications for Evaluating Social Security Reform Proposals

The effect upon future Social Security benefits resulting from the introduction of individual accounts depends on both the potential risks and returns of private equities, yet the historical evidence about the determinants of stock market risks and returns is mixed. In particular, correlations between equity returns and market fundamentals (such as the dividend–price ratio) are weak at annual frequencies, which has led some to conclude that a random returns (fixed mean and variance) model is the preferred specification for simulating the future path of equity returns. Although choosing between the random returns model and models based on market fundamentals does equally well for explaining variation of equity returns in the short run, the distinction is important when projecting equity returns over longer periods, as shown here in the context of a Monte Carlo simulation of Social Security reform. If equity returns are even weakly correlated with market fundamentals then (1) the expected future average return may be a function of the starting values for market fundamentals, and (2) the overall range of cumulative outcomes is narrower than the random returns model suggests.     

Modelling Time‐Variation in the Stock Return‐Dividend Yield Predictive Equation

Using data for forty markets, this paper examines the nature and possible causes of time‐variation within the stock return‐dividend yield predictive regression. The results in this paper show that there is significant time‐variation in the predictive equation for returns and that such variation is linked to economic and market factors. Furthermore, the strength and nature of those links are themselves time‐varying. The inclusion of this time‐variation in the predictive equation increases the predictive power compared to the standard constant parameter predictive model. Evidence is also reported for time‐varying dividend growth predictability. Long‐horizon predictability is also examined with evidence reported that the nature of the factors affecting time‐varying predictability changes with horizon. The results here, while directly contributing to the returns predictability debate, in particular regarding its existence and source, may also inform the discussion that links time‐varying expected returns (and risk premium) to economic factors.     

The Information Content Of Calls Of Debt: Evidence From Long-Run Stock Returns

We examine the long‐run performance of the common stock of firms following calls of both straight and convertible debt from 1945 to 1995. Using a sample of 718 calls of straight debt, we find an average abnormal return in the five years following the call of between 0.16% and 0.34% per month, which compounds to an economically and statistically significant 11% to 22% over the five‐year period. This evidence of overperformance following calls shows a distinct symmetry between the straight debt and equity markets. Issues of debt and equity are both followed by long‐term underperformance, whereas stock repurchases and debt calls are both followed by long‐run overperformance. For our sample of 713 calls of convertible debt, we find little systematic evidence of abnormal performance following the call. Some researchers suggest that calls of convertible debt provide negative signals to the market. Our results provide no support for this claim. In contrast, our evidence of marginal positive long‐run returns provides weak support for the model that calls of convertible debt signal the realization of profitable investment options, and for the price pressure hypothesis.