How Did the 2003 Dividend Tax Cut Affect Stock Prices?

We test the hypothesis that the 2003 dividend tax cut boosted US stock prices and thereby lowered the cost of equity capital. Using an event‐study methodology, we attempt to identify an aggregate stock market effect by comparing the behavior of US common stock prices with that of foreign equities and the equities of real estate investment trusts (REITs). We also examine the relative cross‐sectional response of prices of high‐ and low‐dividend‐paying stocks. We do not find any imprint of the dividend tax cut news on the value of the aggregate US stock market. On the other hand, high‐dividend stocks outperformed low‐dividend stocks by a few percentage points over the event windows, suggesting that the tax cut may have induced asset reallocation within equity portfolios. Finally, the positive abnormal return on nondividend paying US stocks in 2003 does not appear to be tied to tax cut news.     

Time Variation of Ex-Dividend Day Stock Returns and Corporate Dividend Capture: A Reexamination

This paper documents some empirical facts about ex-day abnormal returns to high dividend yield stocks that are potentially subject to corporate dividend capture. We find that average abnormal ex-dividend day returns are uniformly negative in each year after the introduction of negotiated commission rates and that time variation in ex-day returns during the negotiated commission rates era is consistent with corporate tax-based dividend capture. Ex-day returns are more negative when the tax advantage to corporate dividend capture is greatest and more positive when increases in transaction costs and risk reduce incentives to engage in corporate tax-based dividend capture.     

Taxes,dividend yields and returns in the UK equity market

The higher rate of taxation on dividend income relative to capital gains has been offered as an explanation for the positive relation between stock returns and dividend yields among US firms. In the UK the relative tax rates are the reverse of those in the US. Thus, UK data provides an independent test of the tax-based approach to explaining the relation between stock returns and dividend yields. We find that high yielding stocks earn positive risk adjusted returns, whereas low yielding stocks earn negative risk adjusted returns. We also detect evidence of non-linearity in the performance of zero-dividend stocks. Controlling for firm size, seasonality and market risk we find a significant positive relation between dividend yields and returns. We conclude that the evidence is inconsistent with a tax-based explanation.     

Equity Capital Flows and Demand for REITs

REITs are attractive to investors due to their unique characteristics such as high dividend yields, low correlation with common stocks, and a potential hedge against inflation. Thus the market demand curve of REIT equities may not be horizontal. This paper examines the shape of the market demand curve for REIT equities by employing REIT equity capital flows as a proxy for REIT aggregate demand. Our results do not support a downward demand curve for REIT equities. That is, we do not find evidence for the price-pressure effect in REIT returns. Instead, we find it is REIT returns that affect REIT equity capital flows rather than REIT equity flows that affect REIT returns. The results are consistent when we allow for the presence of market fundamental variables in our analysis. In addition, a variance decomposition analysis suggests that REIT equity capital flows do not cause revisions in expected cash flows (dividends) that are strong enough to impact REIT returns. Thus our findings are consistent with implications that the market demand curve for REIT equities is horizontal.     

The dividend–price ratio does predict dividend growth: International evidence

Unpredictable dividend growth by the dividend–price ratio is considered a ‘stylized fact’ in post war US data. Using long-term annual data from the US and three European countries, we revisit this stylized fact, and we also report results on return predictability. We make two main contributions. First, we document that for the US, results for long-horizon predictability are crucially dependent on whether returns and dividend growth are measured in nominal or real terms, and this difference is due to long-term inflation being strongly negatively predictable by the dividend–price ratio. The impact of inflation is to reinforce real return predictability and to reduce – or change direction of – real dividend growth predictability. This provides an explanation for the strong predictability of long-horizon real returns in the ‘right’ direction, and the strong predictability of long-horizon real dividend growth in the ‘wrong’ direction, that we see in US post war data. Second, we find that predictability patterns in three European stock markets are in many ways different from what characterize the US stock market. In particular, in Sweden and Denmark dividend growth is strongly predictable by the dividend–price ratio in the ‘right’ direction while returns are not predictable. The results for the UK are mixed. Our results are robust to a number of changes in the modeling framework. We discuss the results for dividend growth predictability in terms of the ‘dividend smoothing hypothesis’.     

Ex-Dividend Returns and the Tax Reform Act of 1986

As previously recognized, the Tax Reform Act of 1986 reduced observed ex-day returns to stocks that do not attract dividend capture trading. However, by decreasing the top corporate tax rate, and decreasing the corporate dividend income deduction, the Act also reduced the return to dividend capture by U.S. corporations. The ex-day returns for stocks that had previously attracted corporate dividend capture should therefore increase. This prediction is consistent with evidence that ex-day returns increased after the Act was implemented, among low-transaction cost, high-dividend yield stocks and among low-risk, high-dividend yield stocks.     

Capital Structure and the Ex‐Dividend Day Return

We apply an option‐pricing framework to the ex‐dividend behavior of common stocks. The framework explains the observed behavior of positive returns on the ex‐dividend day and predicts that ex‐dividend day returns will be higher for firms with greater financial leverage. Empirical testing supports the prediction. In contrast to prior studies, we find that dividend‐capture activity has no significant impact on ex‐dividend behavior, and we offer an explanation based on the importance of tick intervals.     

Ex‐Dividend Profitability and Institutional Trading Skill

We use institutional trading data to examine whether skilled institutions exploit positive abnormal ex‐dividend returns. Results show that institutions concentrate trading around certain ex‐dates, and earn higher profits around these events. Dividend capture trades represent 6% of all institutional buy trades but contribute 15% of overall abnormal returns. Institutional dividend capture trading is persistent. Institutional ex‐day profitability is also strongly cross‐sectionally related to trade execution skill. The relation between execution skill and profits disappears around placebo non‐ex‐days. Results suggest that skilled institutions target certain opportunities rather than benefiting uniformly over time. Furthermore, only skilled institutions can profit from dividend capture.     

The euro–dollar exchange rate and equity flows

I examine equity flows between the US and the euro area and their impact on the euro–dollar exchange rate. I explain equity flows by examining the behavior of an international investor who maintains a minimum variance portfolio. An excess of euro area equity returns over US equity returns generates a flow of equity from the euro area to the US. The equity flow, the purchase of US equities by the euro-area residents, causes appreciation (depreciation) of the dollar (euro), while the purchase of euro area equities by US residents causes appreciation (depreciation) of the euro (dollar).     

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.     

Determinants of Corporate Dividend Capture

This paper uses ex-dividend day returns to show that corporate dividend capture in utility stocks depends upon transaction costs, the three month treasury bill rate, unsystematic risk and dividend yield. The paper finds that the data do not support the same determinants for dividend capture in non-utility stocks. Tests on data from before and after the Tax Reform Act of 1986 do not show conclusively that the Tax Reform Act reduced the prevalence of dividend capture.     

Co-movement between commodity and equity markets revisited—An application of the Thick Pen method

This paper analyses interdependence between the returns of specific energy and non-energy commodities and equities using (i) Thick Pen Measure of Association (TPMA) and (ii) Multi-Thickness Thick Pen Measure of Association (MTTPMA). We capture time-varying co-movement and co-movement across different time scales to analyse the short-term and long-term features of the time series using stationary data. Energy index futures show an increase in co-movement with equities since the start of the financialisation period. There are asymmetric effects in cross-scale co-movement between various commodities and equities. Weak co-movement between equity and specific commodity futures indicates diversification benefits for short-term and long-term investors.     

A general equilibrium model of changing risk premia: theory and tests

We derive and test a dynamic discrete-time model of asset returns.Both the risks of individual securities and equilibrium riskpremia change predictably in the model, but these changes canbe attributed to movements in the returns and prices of onlytwo well-diversified portfolios. Any other components of returnsshould be unpredictable. Using the generalized method of moments,the model is estimated and tested on portfolios of equities.We find the data supportive of the model's restrictions, evenwhen instruments designed to capture the January effect areemployed.     

The Gilt-Equity Yield Ratio and the Predictability of UK and US Equity Returns

A number of financial variables have been shown to be effective in explaining the time-series of aggregate equity returns in both the UK and the US. These include, inter alia , the equity dividend yield, the spread between the yields on long and short government bonds, and the lagged equity return. Recently, however, the ratio between the long government bond yield and the equity dividend yield – the gilt-equity yield ratio – has emerged as a variable that has considerable explanatory power for UK equity returns. This paper compares the predictive ability of the gilt-equity yield ratio with these other variables for UK and US equity returns, providing evidence on both in-sample and out-of-sample performance. For UK monthly returns, it is shown that while the dividend yield has substantial in-sample explanatory power, this is not matched by out-of sample forecast accuracy. The gilt-equity yield ratio, in contrast, performs well both in-sample and out-of-sample. Although the predictability of US monthly equity returns is much lower than for the UK, a similar result emerges, with the gilt-equity yield ratio dominating the other variables in terms of both in-sample explanatory power and out-of-sample forecast performance. The gilt-equity yield ratio is also shown to have substantial predictive ability for long horizon returns.     

The Gilt-Equity Yield Ratio and the Predictability of UK and US Equity Returns

A number of financial variables have been shown to be effective in explaining the time-series of aggregate equity returns in both the UK and the US. These include, inter alia , the equity dividend yield, the spread between the yields on long and short government bonds, and the lagged equity return. Recently, however, the ratio between the long government bond yield and the equity dividend yield – the gilt-equity yield ratio – has emerged as a variable that has considerable explanatory power for UK equity returns. This paper compares the predictive ability of the gilt-equity yield ratio with these other variables for UK and US equity returns, providing evidence on both in-sample and out-of-sample performance. For UK monthly returns, it is shown that while the dividend yield has substantial in-sample explanatory power, this is not matched by out-of sample forecast accuracy. The gilt-equity yield ratio, in contrast, performs well both in-sample and out-of-sample. Although the predictability of US monthly equity returns is much lower than for the UK, a similar result emerges, with the gilt-equity yield ratio dominating the other variables in terms of both in-sample explanatory power and out-of-sample forecast performance. The gilt-equity yield ratio is also shown to have substantial predictive ability for long horizon returns.     

Stock returns and economic forces—An empirical investigation of Chinese markets

This study finds evidence that a better macroeconomic climate and an improvement in liquidity help to explain Chinese stock returns. There is no evidence to support the hypothesis that growth in dividend yields can predict stock returns. The sectoral stock returns in China's markets are correlated with stock returns in the US markets as evidenced by: (i) a positive correlation with US stock returns; (ii) a significant negative error correcting term; (iii) a negative response of Chinese stocks to financial stress in the US market; and (iv) a positive correlation with a depreciation in the China/US exchange rate.     

Inflation and the stock market: Understanding the “Fed Model”

The so-called Fed model postulates that the dividend or earnings yield on stocks should equal the yield on nominal Treasury bonds, or at least that the two should be highly correlated. In US data there is indeed a strikingly high time series correlation between the yield on nominal bonds and the dividend yield on equities. This positive correlation is often attributed to the fact that both bond and equity yields comove strongly and positively with expected inflation. Contrary to some of the extant literature, we show that this effect is consistent with modern asset pricing theory incorporating uncertainty about real growth prospects and habit-based risk aversion. In the US, high expected inflation has tended to coincide with periods of heightened uncertainty about real economic growth and unusually high risk aversion, both of which rationally raise equity yields.     

Statistical arbitrage in the US equities market

We study model-driven statistical arbitrage in US equities. Trading signals are generated in two ways: using Principal Component Analysis (PCA) or regressing stock returns on sector Exchange Traded Funds (ETFs). In both cases, the idiosyncratic returns are modelled as mean-reverting processes, which leads naturally to ‘contrarian’ strategies. We construct, back-test and compare market-neutral PCA- and ETF-based strategies applied to the broad universe of US equities. After accounting for transaction costs, PCA-based strategies have an average annual Sharpe ratio of 1.44 over the period 1997 to 2007, with stronger performances prior to 2003. During 2003–2007, the average Sharpe ratio of PCA-based strategies was only 0.9. ETF-based strategies had a Sharpe ratio of 1.1 from 1997 to 2007, experiencing a similar degradation since 2002. We also propose signals that account for trading volume, observing significant improvement in performance in the case of ETF-based signals. ETF-strategies with volume information achieved a Sharpe ratio of 1.51 from 2003 to 2007. The paper also relates the performance of mean-reversion statistical arbitrage strategies with the stock market cycle. In particular, we study in detail the performance of the strategies during the liquidity crisis of the summer of 2007, following Khandani and Lo [Social Science Research Network (SSRN) working paper, 2007].     

Ex post: The investment performance of collectible stamps

This paper uses stamp catalogue prices to investigate the returns on British collectible postage stamps over the period 1900–2008. We find an annualized return on stamps of 7.0% in nominal terms, or 2.9% in real terms. These returns are higher than those on bonds but below those on equities. The volatility of stamp prices approaches that of equities. Stamp returns are impacted by movements in the equity market, but the systematic risk of stamps remains low. Stamps partially hedge against unanticipated inflation. Estimates of average after-cost returns for individual investors show that stamps may rival equities in terms of realized performance.     

Forecasting Japanese Stock Returns with Financial Ratios and Other Variables

This paper extends the previous analyses of the forecastability of Japanese stock market returns in two directions. First, we carefully construct smoothed market price–earnings ratios and examine their predictive ability. We find that the empirical performance of the price–earnings ratio in forecasting stock returns in Japan is generally weaker than both the price–earnings ratio in comparable US studies and the price dividend ratio. Second, we also examine the performance of several other forecasting variables, including lagged stock returns and interest rates. We find that both variables are useful in predicting aggregate stock returns when using Japanese data. However, while we find that the interest rate variable is useful in early subsamples in this regard, it loses its predictive ability in more recent subsamples. This is because of the extremely limited variability in interest rates associated with operation of the Bank of Japan’s zero interest policy since the late 1990s. In contrast, the importance of lagged returns increases in subsamples starting from the 2000s. Overall, a combination of logged price dividend ratios, lagged stock returns, and interest rates yield the most stable performance when forecasting Japanese stock market returns.