The compass rose phenomenon is studied based on the random walk model of stock prices. It is found that the structure is inherently present in any financial data having a finite precision, but becomes visible only under some conditions. A quantitative description of the pattern visibility condition is given, providing a method for the interpretation of pattern appearance and a more comprehensive understanding of the compass rose phenomenon. This is achieved by defining a measure of pattern quality. The arguments and the proposed method are supported by numerical examples. One such example is the presentation of patterns in portfolios with some specific weights.

This study investigates the dynamic interdependence of the major stock markets in Latin America. Using data from 1995 to 2000, we examine the stock market indexes of Argentina, Brazil, Chile, Colombia, Mexico and Venezuela. The index level series are non-stationary and so we employ cointegration analysis and error correction vector autoregressions (VAR) techniques to model the interdependencies. We find that there is one cointegrating vector which appears to explain the dependencies in prices. The results are robust to sensitivity tests based on translating indexes to US dollars (i.e., a common currency for all the markets) and to partitioning the sample into periods before and after the Asian and Russian financial crises of 1997 and 1998, respectively. Our results suggest that the potential for diversifying risk by investing in different Latin American markets is limited.

Correlations between U.S. stocks and the aggregate U.S. market are much greater for downside moves, especially for extreme downside moves, than for upside moves. We develop a new statistic for measuring, comparing, and testing asymmetries in conditional correlations. Conditional on the downside, correlations in the data differ from the conditional correlations implied by a normal distribution by 11.6%. We find that conditional asymmetric correlations are fundamentally different from other measures of asymmetries, such as skewness and co-skewness. We find that small stocks, value stocks, and past loser stocks have more asymmetric movements. Controlling for size, we find that stocks with lower betas exhibit greater correlation asymmetries, and we find no relationship between leverage and correlation asymmetries. Correlation asymmetries in the data reject the null hypothesis of multivariate normal distributions at daily, weekly, and monthly frequencies. However, several empirical models with greater flexibility, particularly regime-switching models, perform better at capturing correlation asymmetries.

We investigate a pervasive voluntary disclosure practice—managers including balance sheets with quarterly earnings announcements. Consistent with expectations, we find that managers voluntarily disclose balance sheets when current earnings are relatively less informative, or when future earnings are relatively more uncertain. Specifically, balance sheet disclosures are more likely among firms: (1) in high technology industries; (2) reporting losses; (3) with larger forecast errors; (4) engaging in mergers or acquisitions; (5) that are younger; and (6) with more volatile stock returns. This is consistent with managers disclosing balance sheets in response to investor demand for value relevant information to supplement earnings.

The negative effect of quits on the willingness of firms to provide on‐the‐job training is well documented in the theoretical literature. Here we explore the strength of this effect by solving a firm’s dynamic optimization problem where there is uncertainty about future productivity and nonzero firing costs. We find that the degree to which quit rates affect hiring depends on the ratio of firing to hiring costs. As this ratio rises, the negative effect of quits becomes less important, eventually reversing itself. We also describe how quit rates affect the firing decision. We highlight some testable implications of our analysis.

Most mutual funds adopt investment styles that cluster around a broad market benchmark. Few funds take extreme positions away from the index, but those who do are more likely to favor growth stocks and past winners. The bias toward glamour and the tendency of poorly performing value funds to shift styles may reflect agency and behavioral considerations. After adjusting for style, there is evidence that growth managers on average outperform value managers. Though a fund’s factor loadings and its portfolio characteristics generally yield similar conclusions about its style, an approach using portfolio characteristics predicts fund returns better.

American options require numerical methods, namely lattice models, to provide accurate price estimates. The computations can become expensive when more than one state variable is involved. Analytical upper bounds can therefore provide a useful guideline for how high American values can reach. In this paper, we derive analytical (closed-form) upper bounds for American option prices under stochastic interest rates, stochastic volatility, and jumps where American option prices are difficult to compute with accuracy. In a stochastic volatility model (Heston (1993) and Scott (1997)) that has two random factors, we demonstrate that the upper bound only takes a very small fraction of the time that the American option needs to compute.

Efficiency wage considerations should be less important for piece-rate pay than for time wages. Therefore, if industry wage differentials reflect efficiency wage factors, then these pay differences should be less sizable and have less explanatory power for piecework than for timework. We test this proposition using wage data for male production workers employed in the Swedish metalworking industries in 1985. The data are partitioned into two groups of workers. In our preferred sub-sample of workers who received pay under both piece rates and time wages, our results are uniformly consistent with efficiency wage implications for industry wage differentials. For the subsample of workers who received pay under either piece rates or time wages, industry wage differentials are of equal importance under either pay scheme. These latter results, however, may also be influenced by unaccounted for sorting of workers and employers across methods of pay. Overall, our examination of industry wage differentials across methods of pay provides mixed support for efficiency wage theory.

We develop a stock market model with differences of opinion and short-sales constraints. When breadth is low—i.e., when few investors have long positions—this signals that the short-sales constraint is binding tightly, and that prices are high relative to fundamentals. Thus reductions in breadth should forecast lower returns. Using data on mutual fund holdings, we find that stocks whose change in breadth in the prior quarter is in the lowest decile of the sample underperform those in the top decile by 6.38% in the twelve months after formation. Adjusting for size, book-to-market, and momentum, the figure is 4.95%.