It appears to a widely held view that corporations with similar operational characteristics ought to have similar financial characteristics. For example, one might expect that the financial characteristics of two drug companies would be similar. This seems entirely reasonable. Unfortunately however, there does not appear to be any quantitative analysis of this point in the literature. Furthermore, discussions with our financial colleagues lead to the conclusion that, if such financial differentiation of corporations were possible, it is by no means obvious what the variables of differentiation would be. Consequently, such an analysis was undertaken and is described in this paper. The basic question asked is whether the statistical grouping of corporations by their financial characteristics is similar to their predetermined, external, industrial classification.

We study the effects of time-varying volatility and investment horizon on the economic significance of stock market return predictability from the perspective of Bayesian investors. Using a vector autoregression framework with stochastic volatility (SV) in market returns and predictor variables, we assess a broad set of twenty-six predictors with both in-sample and out-of-sample designs. Volatility and horizon are critically important for assessing return predictors, as these factors affect how an investor learns about predictability and how she chooses to invest based on return forecasts. We find that statistically strong predictors can be economically unimportant if they tend to take extreme values in high volatility periods, have low persistence, or follow distributions with fat tails. Several popular predictors exhibit these properties such that their impressive statistical results do not translate into large economic gains. We also demonstrate that incorporating SV leads to substantial utility gains in real-time forecasting.

Pre-IPO firms may “test the waters” by meeting privately with investors in order to allow access to management and more time to make an investment decision. However, these meetings have the potential to undermine the SEC’s objectives of protecting investors and supporting market efficiency by allowing institutional investors, but not retail investors, private access to management. We find lower retail trading after IPOs of firms that held testing-the-waters meetings, consistent with the meetings reducing retail investor participation. Moreover, retail investors that still participate in the market in the presence of testing-the-waters meetings have inferior investment outcomes. Nonetheless, we find no evidence of lower overall market liquidity or slower price discovery following testing-the-waters meetings. In fact, we observe a reduction in stock return volatility. Overall our evidence suggests that, while testing-the-waters meetings may harm retail investors, there does not appear to be a negative impact on overall market function.

Liquidity plays an important role in global research. We identify high-quality liquidity proxies based on low-frequency (daily) data, which provide 1,000× to 10,000× computational savings compared to computing high-frequency (intraday) liquidity measures. We find that: (i) Closing Percent Quoted Spread is the best monthly percent-cost proxy when available, (ii) Amihud, Closing Percent Quoted Spread Impact, LOT Mixed Impact, High–Low Impact, and FHT Impact are tied as the best monthly cost-per-dollar-volume proxy, (iii) the daily version of Closing Percent Quoted Spread is the best daily percent-cost proxy, and (iv) the daily version of Amihud is the best daily cost-per-dollar-volume proxy.

PROFESSOR EINAUDI has raised an interesting question in his note on " James Pennington or James Mill: An Early Correction of Ricardo," published in the November number of this Journal (

In an approach analogous to Rajan and Zingales (1998), we examine how the ability to access long-term debt affects firm-level growth volatility. We find that firms in industries with stronger preference to use long-term finance relative to short-term finance experience lower growth volatility in countries with better-developed financial systems, as these firms may benefit from reduced refinancing risk. Institutions that facilitate the availability of credit information and contract enforcement mitigate refinancing risk and therefore growth volatility associated with short-term financing. Increased availability of long-term finance reduces growth volatility in crisis as well as non-crisis periods.

This study investigates the interaction effects of locus of control, a personality variable, and ethical reasoning on the behaviour of auditors in an audit conflict situation. Eighty experienced auditors from a sample of Big Six and Non-Big Six CPA firms in Hong Kong were provided with a case study involving an audit conflict situation and were asked to state the extent to which they would accede to the client's request. Subjects were also administered Rotter's Locus of Control Scale and the Denning Issues Test (DIT) to measure ethical reasoning. Analyses of the data using multiple regression found that ethical reasoning moderated the relationship between locus of control and the auditors' responses to accede to client's request in an audit conflict situation. An implication of these results is that the explicit recognition of both locus of control and ethical reasoning provides a better explanation for differences in auditors' ethical decision making.