European business cycles and stock return predictability

This paper finds that the European leading economic indicator, a prime business cycle indicator for the European economies published by the OECD, can strongly predict European stock returns and generate utility gains. Importantly, the predictive power of the European indicator is above and beyond that contained in the country-specific leading indicator. Furthermore, we find that the predictive power of the European indicator is stable.     

Predicting firm level stock returns: Implications for asset pricing and economic links

We examine the predictive ability of stock price ratios, stock return dispersion and distribution measures for firm level returns. Analysis typically focusses on market level returns, however, for the underlying asset pricing model to hold, firm-level predictability should be present. Additionally, we examine the economic content of predictability by considering whether the predictive coefficient has the theoretically correct sign and whether it is related to future output growth. While stock returns reflect investor expectations regarding future economic conditions, they are often too noisy to act as predictor. We use the time-varying predictive coefficient as it reflects investor confidence in the predictive relation. Results suggest that a subset of stock price ratios have predictive power for individual firm stock returns, exhibit the correct coefficient sign and has predictive power for output growth. Each of these ratios has a measure of fundamentals divided by the stock price and has a positive relation with stock returns and output growth. This implies that as investors expect future economic conditions to improve and earnings and dividends to rise, so expected stock returns will increase. This supports the cash flow channel as the avenue through which stock return predictability arises.     

Time-dependent lottery preference and the cross-section of stock returns

Highlighting the importance of benchmark to identify lottery-like payoffs of stocks, this study proposes that investors’ lottery preference is formed toward tracking stocks’ performance over time. Accordingly, we develop a strategy based on time-dependent maximum daily return (denoted as TMAX) by buying (short selling) stocks with the most recent maximum daily returns (MAX) ranked in the bottom (top) decile of the historical distribution. The TMAX strategy generates significant premium that subsumes the profitability of Bali, Cakici, and Whitelaw’s (2011) MAX strategy, but not vice versa. A major advantage of the TMAX strategy is its time-invariant profitability across different periods and sentiment states. Further analyses show that the TMAX premium can be explained by shorting flow and behavioral theories, supporting the time-dependent feature of lottery preference.     

Presidential administrations and the day-of-the-week effect in stock returns

This study examines the presence of a day-of-the-week effect over different presidential administrations. The results indicate that the day-of-the-week effect prevails during the Democratic and Republican administrations. However, the pattern of the day-of-the-week effect differs between the two presidential administrations. Specifically, the negative returns on Monday are more pronounced during the Republican than during the Democratic administrations. Therefore, explanations for the day-of-the-week effect should take into account the changing pattern of the day-of-the-week effect across presidential administrations.     

Short selling and stock returns: Evidence from the UK

The practice of shorting stocks was put forward as one of the causes of the recent financial crisis whereas Shiller (2003), for example, considers shorting an essential element of an efficient market. Shorting involves selling borrowed stocks and subsequently closing the position by purchasing and returning the stock to the lender. A profit will be realised if the stock's price decreases. Shorting enables investors who do not own a perceived overvalued stock to sell. Using a high-frequency UK dataset for the period between September 2003 and April 2010, our findings suggest shorting indicates evidence of overvalued stocks as significantly negative abnormal stock returns appear to follow an increase in shorting. These results do not hold, however, for shorting which occurs around the ex-dividend date. We further find that these results hold during the recent financial crisis.     

As told by the supplier: Trade credit and the cross section of stock returns

With superior information about their customers’ prospects, suppliers extend trade credit to capture future profitable business. We show that this information advantage generates significant return predictability. After controlling for major firm characteristics, firms that rely more on trade credit relative to debt financing have higher subsequent stock returns. The return predictability by trade credit is stronger among firms with lower borrowing capacity or profitability, and is more significant for firms with a higher degree of information asymmetry. Our findings suggest that trade credit extension reveals suppliers’ information that diffuses gradually across the investing public.     

Forecasting stock returns with large dimensional factor models

We study equity premium out-of-sample predictability by extracting the information contained in a high number of macroeconomic predictors via large dimensional factor models. We compare the well-known factor model with a static representation of the common components with the Generalized Dynamic Factor Model, which accounts for time series dependence in the common components. Using statistical and economic evaluation criteria, we empirically show that the Generalized Dynamic Factor Model helps predicting the equity premium. Exploiting the link between business cycle and return predictability, we find accurate predictions also by combining rolling and recursive forecasts in real-time.     

Mispricing and the cross-section of stock returns

This paper employs the Campbell-Shiller (Rev Financ Stud 1:195–228, 1988) VAR model to derive a model-based mispricing measure that captures investor overreaction to growth. Using this mispricing measure, we find that stocks with low levels of mispricing outperform otherwise similar stocks. The long–short mispricing strategy generates statistically and economically significant returns over the sample period of July 1981 to June 2006. Moreover, this mispricing strategy outperforms the contrarian strategy using various accounting-fundamental-to-price ratios. Our results cast doubt on the risk story in explaining the abnormal returns of the mispricing strategy. Rather, our evidence suggests that asset prices reflect both covariance risk and mispricing.

Trading volume and stock returns: A meta-analysis

I examine 468 estimates on the relationship between trading volume and stock returns reported in 44 studies. I study publication bias together with Bayesian and frequentist model averaging to explain the heterogeneity in the estimates. The results yield three key conclusions. First, publication bias distorts the findings of the primary studies. Second, the predictability of stock returns varies with different markets and stock types. Third, different data characteristics, structural variations and methodologies used drive the heterogeneity in the results of the primary articles. In particular, one should be cautious when using monthly data or VAR models.     

Foreign exchange risk and the cross-section of stock returns

We examine the relation between the cross-section of US stock returns and foreign exchange rates during the period from 1973 to 2002. We find that stocks most sensitive to foreign exchange risk (in absolute value) have lower returns than others. This implies a non-linear, negative premium for foreign exchange risk. Sensitivity to foreign exchange generates a cross-sectional spread in stock returns unexplained by existing asset-pricing models. Consequently, we form a zero-investment factor related to foreign exchange-sensitivity and show that it can reduce mean pricing errors for exchange-sensitive portfolios. One possible explanation for our findings includes Johnson's [2004. Forecast dispersion and the cross-section of expected returns. Journal of Finance, 59, 1957–1978] option-theoretic model in which expected returns are decreasing in idiosyncratic cashflow volatility.     

The moderating role of board gender diversity on the relationship between firm opacity and stock returns

In this study, we examine the impact of board gender diversity on the association between firm opacity and stock price crash. We utilize the negative shock of the 2007–2008 financial crisis to capital markets to examine whether firms with gender-diverse boards witnessed lower stock price crashes due to their lower opacity ex ante. Using a sample of S&P 1500 firms spanning the period 2005–2008, we employ a difference-in-differences research design and find that firms with high opacity ex ante witness more negative returns ex post. We also find that gender-diverse firms ex ante witness less negative returns ex post. Finally, our analysis reveals the moderating role that board gender diversity plays in the association between firm opacity and stock returns around the financial crisis. We subject our results to a range of robustness checks, including instrumental variable regressions, matched-sample analyses, and a set of falsification and placebo tests. Overall, we provide evidence that board gender diversity is associated with increased transparency in financial reporting, which pays off in times of crisis.     

A 10-year retrospective on the determinants of Russian stock returns

We study factors influencing returns at the Russian stock market from 1995 to 2004, putting emphasis on how these evolved over time. We find that the relationship is highly unstable and this instability is not confined to financial crises alone. Most computed statistics exhibit constant ups and downs, but there has been recently a sharp rise in explainability of stock returns. Domestic factors have been playing a gradually diminishing role, while the importance of international factors has been increasing. In recent years, the effect of oil prices and foreign exchange rates has diminished, the impact of US stock prices and international and domestic interest rates has increased, while the influence of monetary aggregates such as gold reserves and credit balances has fallen to practically zero.     

The role of current and non-current accruals in the relation between stock returns and earnings

This study examines the role of accruals in the relation between stock returns and earnings for intervals of one to four years. We argue that the roles of current and non-current accruals differ because the former turn over more frequently while the latter include long term timing differences and permanent differences. Accordingly, the roles of both categories of accruals are examined over intervals within and beyond the cycle of current accruals. The results suggest that accruals strengthen the association between stock returns and earnings and that they are more important for shorter intervals. Further, non-current accruals play a dominant role in the relation between stock returns and earnings while the effect of current accruals is negligible for all intervals examined.     

Earnings, cashflows and returns: Functional relations and the impact of firm size

The relation between stock returns, earnings and cashflows is of importance because it directly addresses the issue of whether accounting data provide value relevant information. The empirical evidence to date, however, has documented low explanatory power for earnings and inconclusive incremental information content for cashflows. This research re-evaluates the incremental information content debate using Australian data. Our research is motivated by: recent innovations in research design, including the specification of nonlinear functional relations between accounting variables and prices, and the fact that differences in firm size characteristics may influence the relative information content of the accounting variables. We observe that: (i) a nonlinear functional relation provides greater explanatory power for both earnings and cashflows;(ii) the results are consistent with more transitory earnings components for smaller firms; and (iii) contrary to received theory, cashflows add greater incremental explanatory power for large firms.     

Correlations between stock returns and bond returns: income and substitution effects

We attempt to better understand the varying correlations between stock and bond returns across countries and over sample periods using international data. The observation is that there are two forces that affect the correlation between stock and bond returns. The force that drives a positive correlation is identified as the income effect. The force that drives a negative correlation is identified as the substitution effect. In combination, the two effects help determine the actual correlation between stock and bond returns. We contribute to the literature by proposing an empirical method, the structural vector autoregression (VAR) identification method, to identify the two—income and substitution—effects and to measure the relative importance of the two effects that determine the actual net relation between the two asset returns. We further provide some evidence that the income and substitution effects are related to, among other things, the size of the financial market, the growth and volatility (risk) of the economy, and the business cycle over time. In addition, the framework of the income and substitution effects helps us better understand the automatic stabilizing effects of the dynamic optimal asset allocation during business cycles.     

The impact of internet stock message boards on cross-sectional returns of small-capitalization stocks

We examine the impact of more than 2.5 million HotCopper messages on the Australian stock market. HotCopper is the largest online stock message board in Australia and the sample of messages covers over 2000 companies listed on the Australian Securities Exchange (ASX) from January 2003 through December 2008. We exclude messages surrounding public price-sensitive announcements released centrally by the ASX in order to examine the private information content of internet board messages. We find that the number of board messages and message sentiment significantly and positively relate to the contemporaneous returns of underperforming (low ROE, EBIT margin, EPS) small capitalization stocks with high market growth potential (low book-to-market). Posting activity is positively associated with trading volume for small stocks and negatively associated with bid-ask spreads for small and large stocks in the short term. Bullish small stocks outperform bearish ones significantly in respective days and months, exhibiting no return reversals to pre-message board activity levels in subsequent time periods. Large stocks are not found to be affected by message board activity. We conclude that higher message board activity quickly reflects itself into the prices of small capitalization stocks in a highly regulated market like the ASX.     

Improving the predictability of real economic activity and asset returns with forward variances inferred from option portfolios

This paper presents an option positioning that allows us to infer forward variances from option portfolios. The forward variances we construct from equity index options help to predict (i) growth in measures of real economic activity, (ii) Treasury bill returns, (iii) stock market returns, and (iv) changes in variance swap rates. Our yardstick for measuring predictive ability is both individual and joint parameter statistical significance within a market, as well as across a set of markets.     

Changes in the risk structure of stock returns: Consumer Confidence and the dotcom bubble

Changes in the risk structure of stock returns may sometimes be very revealing. We examine economic variables that help explain principal components in UK stock returns, 01/1985 to 12/2001. The loading pattern on explanatory variables for the first component in a ‘bubble’ period is distinctive and consistent with a bubble/crash market. The second component shows a loading pattern on a Consumer Confidence variable in a pre-bubble period only. We observe apparently systematic changes in the structure of risk, and conjecture that Consumer Confidence captures a change in market sentiment that could be a signal for the evolution of stock prices.     

When bad news is good news: Geopolitical risk and the cross-section of emerging market stock returns

Using a news-based gauge of geopolitical risk, we study its role in asset pricing in global emerging markets. We find that changes in risk positively predict future stock returns. The countries with the highest increase in geopolitical uncertainty outperform their counterparts with the lowest change by up to 1% per month. The anomaly is not explained by other established asset pricing effects and remains robust to many considerations. We link the observed phenomenon with investor overreaction to geopolitical news driven by the availability bias.     

Forecasting stock market returns: The sum of the parts is more than the whole

We propose forecasting separately the three components of stock market returns—the dividend–price ratio, earnings growth, and price–earnings ratio growth—the sum-of-the-parts (SOP) method. Our method exploits the different time series persistence of the components and obtains out-of-sample R-squares (compared with the historical mean) of more than 1.3% with monthly data and 13.4% with yearly data. This compares with typically negative R-squares obtained in a similar experiment with predictive regressions. The performance of the SOP method comes mainly from the dividend–price ratio and earnings growth components, and the robustness of the method is due to its low estimation error. An investor who timed the market using our method would have had a Sharpe ratio gain of 0.3.