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.

Acquisitions among New York Stock Exchange specialist firms can increase specialist firm size, capitalization, and market concentration, and thereby affect the market quality of the stocks they trade. We find that while traded stocks show significant improvement in several market quality measures following acquisitions, similar changes are evident in matched control stocks not involved in acquisitions. We conclude that specialist firm acquisitions either do not improve market quality, or improve market quality, but competitive and other pressures (resulting partly from the acquisitions themselves) force improvements in market quality for control stocks also. Either interpretation implies that specialist acquisitions have not had deleterious effects on market quality.

This paper provides a review of developments in the area of risk management at both the firm level and the macro-economy. We review rationales regarding why firms choose to manage risk, as well as new developments in measuring and managing risk in a dynamic setting. We also consider current risk sharing arrangements in light of the theory regarding optimal risk sharing. The paper concludes with some suggestions for additional research that emphasizes the importance of incorporating market incompleteness in an equilibrium setting. We also discuss the role of incompleteness at the macro-level and speculate on how derivatives markets may influence macro-economic stabilization policy.

This paper examines the long-standing theory that the growth of small firms is often constrained by the quantity of internal finance. Under plausible assumptions, when financing constraints are binding, an additional dollar of internal finance should generate slightly more than an additional dollar of growth in assets. This quantitative prediction should not hold for the relatively small number of firms which access external equity. We test these predictions with a panel of more than 1, 600 small firms and find that the growth of most firms is constrained by internal finance. Our results have implications for several different research literatures, including models of firm growth.

We present new tests of three theories of the labor market: intertemporal substitution, hours restrictions, and implicit contracts. The intertemporal substitution test we implement is an exclusion test robust to many specification errors and we consistently reject this model. We model hours restrictions as part of an endogenous switching model. We compare the implicit probit equation to an unrestricted probit equation for unemployment and reject the hours restriction model. For the implicit contracts model, we estimate nonseparable within-period labor-supply and consumption equations. We test a cross-equation restriction of the model and cannot reject the implicit contracts model.

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%.

Band spectral regression with both deterministic and stochastic trends is considered. It is shown that trend removal by regression in the time domain prior to band spectral regression can lead to biased and inconsistent estimates in models with frequency dependent coefficients. Both semiparametric and nonparametric regression formulations are considered, the latter including general systems of two-sided distributed lags such as those arising in lead and lag regressions. The bias problem arises through omitted variables and is avoided by careful specification of the regression equation. Trend removal in the frequency domain is shown to be a convenient option in practice. An asymptotic theory is developed and the two cases of stationary data and cointegrated nonstationary data are compared. In the latter case, a levels and differences regression formulation is shown to be useful in estimating the frequency response function at nonzero as well as zero frequencies.

With a year of equity loans by a major lender, we measure the effect of actual short-selling costs and constraints on trading strategies that involve short-selling. We find the loans of initial public offering (IPOs), DotCom, large-cap, growth and low-momentum stocks to be cheap relative to the strategies’ documented profits and that investors who can short only stocks that are cheap and easy to borrow can enjoy at least some of the profits of unconstrained investors. Most IPOs are loaned on their first settlement days and throughout their first months, and the underperformance around lockup expiration is significant even for the IPOs that are cheap and easy to borrow. The effect of short-selling frictions appears strongest in merger arbitrage. Acquirers’ stock is expensive to borrow, especially when the acquirer is small, though the major influence on trading profits is not through expense but availability.

Using the Investors' Intelligence sentiment index, we employ a generalized autoregressive conditional heteroscedasticity-in-mean specification to test the impact of noise trader risk on both the formation of conditional volatility and expected return as suggested by De Long et al. [Journal of Political Economy 98 (1990) 703]. Our empirical results show that sentiment is a systematic risk that is priced. Excess returns are contemporaneously positively correlated with shifts in sentiment. Moreover, the magnitude of bullish (bearish) changes in sentiment leads to downward (upward) revisions in volatility and higher (lower) future excess returns.