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.     

The role of Chinese economic variables on Australian and New Zealand equity returns

This study investigates the explanatory power of Chinese economic variables on Australian and New Zealand equity returns. Results suggest that Chinese economic variables have significant explanatory power for both market‐level and industry‐level portfolio returns. Our results are robust when using the principal component analysis (PCA) approach. We also find the predictive power is stronger for the post‐FTA period. In addition, the out‐of‐sample analysis confirms our previous results, suggesting that Chinese economic variables contain incremental information when estimating Australian and New Zealand equity market returns. We believe our findings have important implications for investors and policymakers in both countries.     

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.

The predictability of real estate returns and market timing

Recent evidence suggests that all asset returns are predictable to some extent with excess returns on real estate relatively easier to forecast. This raises the issue of whether we can successfully exploit this level of predictability using various market timing strategies to realize superior performance over a buy-and-hold strategy. We find that the level of predicability associated with real estate leads to moderate success in market timing, although this is not necessarily the case for the other asset classes examined in general. Besides this, real estate stocks typically have higher trading profits and higher mean risk-adjusted excess returns when compared to small stocks as well as large stocks and bonds even though most real estate stocks are small stocks.     

The Feller diffusion,filter rules and abnormal stock returns

We determine the conditional expected logarithmic (i.e. continuously compounded) return on a stock whose price evolves in terms of the Feller diffusion and then use it to demonstrate how one must know the exact probability density that describes a stock’s return before one can determine the correct way to calculate the abnormal returns that accrue on the stock. We show in particular that misspecification of the stochastic process which generates a stock’s price will lead to systematic biases in the abnormal returns calculated on the stock. We examine the implications this has for the proper conduct of empirical work and for the evaluation of stock and portfolio performance.     

Run length and the predictability of stock price reversals

Survival analysis is used to estimate time‐varying probabilities of price reversals using daily data for the Australian All Ordinaries Price Index. Lagged price changes lead to persistence (shortening) in a price run if they are of the same (opposite) sign as the run. An increase in the number of runs observed in the previous 30 days also increases the probability of price reversal. The predictive accuracy of the models is assessed using a probability scoring rule. Consistent with market efficiency, the estimated models are less accurate than the random walk model in predicting the length of individual price runs out‐of‐sample.     

Liquidity and stock returns in pure order-driven markets: evidence from the Australian stock market

This paper examines the relationship between liquidity and stock returns in the pure order-driven stock market of Australia. The bid-ask spread, turnover rate, and amortized spread are used as proxies for liquidity. In addition to liquidity, other factors that have been found to influence stock returns, such as beta and size, are also considered. Seemingly unrelated regressions (SUR) and the cross-sectionally correlated timewise autoregressive (CSCTA) model form the methodological basis for this research. A small liquidity premium is found in the Australian market, which persists for the entire year. There is also strong evidence of a negative size effect.     

Decomposing the VIX: Implications for the predictability of stock returns

The VIX index is not only a volatility index but also a polynomial combination of all possible higher moments in market return distribution under the risk-neutral measure. This paper formulates the VIX as a linear decomposition of four fundamentally different elements: the realized variance (RV), the variance risk premium (VRP), the realized tail (RT), and the tail risk premium (TRP), respectively. Using an innovative and nonparametric tail risk measure, we find that approximately one-third of the VIX's formation is attributed to the TRP. In addition to VRP, RT and TRP are crucial components for predicting future returns on equity portfolios.     

Terrorism,country attributes,and the volatility of stock returns

This study investigates the interplay between terrorism and finance, focusing on the stock return volatility of American firms targeted by terrorist attacks. We find terrorism risk is an important factor in explaining the volatility of stock returns, which should be taken into account when modelling volatility. Using a volatility event-study approach and a new bootstrapping technique, we find volatility increases on the day of the attack and remain significant for at least fifteen days following the day of the attack. Cross-sectional analysis of the abnormal volatility indicates that the impact of terrorist attacks differs according to the country characteristics in which the incident occurred. We find that firms operating in wealthier, or more democratic countries, face greater volatility in stock returns relative to firms operating in developing countries. Firm exposure varies with the nature of country location, with country wealth and level of democracy playing an important role in explaining the likelihood of a terrorist attack. Our results show that despite significant terrorist events this past decade, stock markets in developed countries have not taken terrorist risk into sufficient consideration.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.     

A study of cross-industry return predictability in the Chinese stock market

We investigate cross-industry return predictability for the Shanghai and Shenzhen stock exchanges, by constructing 6- and 26- industry portfolios. The dominance of retail investors in these markets, in conjunction with the gradual diffusion of information hypothesis provide the theoretical background that allows us to employ machine learning methods to test for cross-industry predictability. We find that Oil, Telecommunications and Finance industry portfolio returns are significant predictors of other industries. Our out-of-sample forecasting exercise shows that the OLS post-LASSO estimation outperforms a variety of benchmarks and a long–short trading strategy generates an average annual excess return of 13%.     

The determination and international transmission of stock market volatility

This paper extends the literature on low-frequency analysis of the causes and transmission of stock market volatility. It uses end-monthly data on stock market returns, interest rates, exchange rates, inflation, and industrial production for five countries (Britain, France, Germany, Japan, and the US) from July 1973 to December 1994. Efficient portfolios of world, European, and Japanese/US equity are first constructed, the existence of multivariate cointegrating relationships between them is demonstrated, and the transmission of conditional volatility between them is described. The transmission of conditional volatility from world equity markets and national business cycle variables to national stock markets is then modeled. Among the main findings are: first, world equity market volatility is caused mostly by volatility in Japanese/US markets and transmitted to European markets, and second, changes in the volatility of inflation are associated with changes of the opposite sign in stock market volatility in all markets where a significant effect is found to exist. To the extent that the volatility of inflation is positively related to its level, this implies that low inflation tends to be associated with high stock market volatility.     

Endogenous technological progress and the cross-section of stock returns

I study the cross-sectional variation of stock returns and technological progress using a dynamic equilibrium model with production. Technological progress is endogenously driven by research and development (R&D) investment and is composed of two parts. One part is devoted to product innovation; the other, to increasing the productivity of physical investment. The latter is embodied in new tangible capital. The model breaks the symmetry assumed in standard models between tangible and intangible capital, in which the accumulation processes of tangible and intangible capital stock do not affect each other. Qualitatively and, in many cases, quantitatively, the model explains well-documented empirical regularities.     

Information content of earnings announcements in the New Zealand equity market,a longitudinal analysis

We compute abnormal return variance and abnormal trading volume in the 3‐day window surrounding earnings announcements to examine the information content of earnings announcements in the New Zealand equity market over the past 16 years. We find that the information content of earnings announcements has increased significantly over time, and this finding holds true for both interim and preliminary earnings announcements. We find evidence that earnings announcements with June year‐ends exhibit a higher level of information content and experience a more pronounced rising trend as compared to earnings announcements with non‐June year‐ends. Several firm characteristics appear to relate to the level of the information content of earnings announcements as well as to compound the trend over time. We document an important finding that the information content of earnings announcements increases remarkably in the period after the adoption of the International Financial Reporting Standards (IFRS).     

Idiosyncratic momentum and the cross‐section of stock returns: Further evidence

In this article, we evaluate the profitability and economic source of the predictive power of the idiosyncratic momentum effect, by using five popular asset pricing models to construct the idiosyncratic momentum. We show that all five idiosyncratic momentum strategies produce similar return predictability and consistently outperform the conventional momentum strategy in the cross‐sectional pricing of equity portfolios and individual stocks. This positive effect of idiosyncratic momentum on returns is consistent with the investment capital asset pricing model (CAPM). Further analysis reveals that the firm‐level idiosyncratic momentum effect cannot extend to the aggregate stock market.     

Impact of liquidity on stock returns: an empirical investigation of the Tunisian stock market

This paper investigates the return–liquidity relationship on one Middle East and North Africa frontier market, the Tunisian Stock Exchange (TSE). The findings provide evidence that there is a significant and positive premium for companies with high price impact and low trading frequency. However, Tunisian investors appreciate more low spread stocks. We show, also, a non-linear relation between potential delays of execution and stock returns. In addition, we find that Tunisian investors require a premium to compensate past cumulative illiquidity risk (high price impact, low turnover and high potential delay of execution) over the prior three to 12 months and to compensate past cumulative spread over 12 months. We point out also that these effects are seasonal.     

The long-horizon returns behaviour of the Portuguese stock market1

In the last few years several research studies have challenged the traditional weak-form efficiency tests of the stock market. These studies suggested an alternative to the random walk model, containing temporary and permanent components. If stocks follow such a model then the traditional tests, using returns computed for short intervals would be unable to detect them. To investigate the evidence for such models in the Portuguese stock market ten stock indexes were created. This is a pioneer study of the Portuguese stock market, and uses nominal, real and excess returns, computed for longer horizons. Three methodologies were used: variance ratios, ordinary least squares regressions and weighted least squares regressions. The statistical significance of the results was studied using traditional parametric tests as well as non-parametric tests. The evidence is mixed, as the presence of tendencies towards mean aversion and mean reversion were detected. Results also show that the evidence is very sensitive to the methodology used and the signifcance tests performed. These results, however, do not necessarily reject the weak-form market efficiency hypothesis.     

Explanatory factors of the inflation news impact on stock returns by sector: The Spanish case

We study the short run response of daily stock prices on the Spanish market to the announcements of inflation news at an industrial level, deepening the potential explanatory factors of this response (risk-free interest rate, risk premium and growth expectations). We observe a positive and significant response of the stock returns in case of “bad news” (total inflation rate higher than expected one) in recession, and also in case of negative inflation surprises (“good news”) in non-economic recession. This behaviour is consistent with the evolution of the company dividend growth expectations, since we observe that the relationship between this theoretical component of the stock price and the unexpected inflation, to a large extent, seems to explain the observed behaviour.     

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.     

The impact of the Japanese market on the intraday Hong Kong stock returns

This paper examines the impact of the price movement of the Japanese market on the Hong Kong market. We find that the Hong Kong stock prices react rapidly to the return information of the Japanese market. The evidence also indicates that the large price movement of the Japanese market can be used as an indicator for the Hong Kong market. The price reaction of the Hong Kong market is instantaneous and takes place in the opening minutes of the afternoon session. However, there is no excess profits when the transactions costs are included. Finally, the Hong Kong market has a significantly higher turnover when the Japanese market is open.