This article evaluates the tax-loss-selling hypothesis against the window-dressing hypothesis as explanations for turn-of-the-year anomalies. The authors examine differences between securities dominated by individual investors versus those dominated by institutional investors and find that the effect is more pervasive in the former. Controlling for capitalization, they find that, in early January (late December), stocks with greater individual investor interest outperform (underperform) stocks with greater institutional investor interest. These results hold for both stocks that previously appreciated in value and stocks that previously depreciated in value. The results are more consistent with the tax-loss-selling hypothesis as an explanation for the turn-of-the-year effect.

This article investigates the claim that debt finance can increase firm value by curtailing managers' access to “free cash flow.” We first show that incentive contracts that tie the managers' pay to stockholder wealth are often a superior solution to the free cash flow problem. We then consider the possibility that the manager can trade on secondary capital markets. Liquid secondary markets are shown to undermine management incentive schemes and, in many cases, to restore the value of debt finance in controlling the free cash flow problem.

This article investigates the claim that debt finance can increase firm value by curtailing managers' access to “free cash flow.” We first show that incentive contracts that tie the managers' pay to stockholder wealth are often a superior solution to the free cash flow problem. We then consider the possibility that the manager can trade on secondary capital markets. Liquid secondary markets are shown to undermine management incentive schemes and, in many cases, to restore the value of debt finance in controlling the free cash flow problem.

This paper documents how plant-level wages, occupational mix, workforce education, and productivity vary with the adoption and use of new factory automation technologies such as programmable controllers, computer-automated design, and numerically controlled machines. Our cross-sectional results show that plants that use a large number of new technologies employ more educated workers, employ relatively more managers, professionals, and precision-craft workers, and pay higher wages. However, our longitudinal analysis shows little correlation between skill upgrading and the adoption of new technologies. It appears that plants that adopt new factory automation technologies have more skilled workforces both pre- and postadoption.

We propose and test the hypothesis that trading by institutional investors contributes to serial correlation in daily returns. Our results demonstrate that NYSE particles and individual security daily return autocorrelationsare an increasing function of the level of institutional ownership. Moreover, the results are consistent with the hypothesis that institutional trading reflects information and increases the speed of price adjustment. The relation between autocorrelation and institutional holdings does not, however, apparent to be driven by market frictions or rational time-varying required rates of return. We conclude that institutional investors correlated trading patterns contribute to axial correlation in daily returns.

This article applies finite mixture distributions to the estimation of cost functions for financial firms through time. The mixture approach allows the estimation of multiple technologies when firms' technology choices are unobservable. Technology switching (‘diffusion’) and underlying technical change are simultaneously evaluated. An application to large samples of U.S. banks for the years 1982–1986 illustrates the approach. Results suggest banks switch to lower cost production technologies when unburdened by strict branching regulations.

We value American options on bonds using a generalization of the Geske–Johnson (Geske, R., Johnson, H., 1984. Journal of Finance 39, 1151–1542) (GJ) technique. The method requires the valuation of European options, and options with multiple exercise dates. It is shown that a risk-neutral valuation relationship (RNVR) along the lines of Black–Scholes (Black, F., Scholes, M., 1973. Journal of Political Economy 81, 637–659) model holds for options exercisable on multiple dates, even under stochastic interest rates, when the price of the underlying asset is lognormally distributed. The proposed computational procedure uses the maximized value of these options, where the maximization is over all possible exercise dates. The value of the American option is then computed by Richardson extrapolation. The volatility of the underlying default-free bond is modeled using a two-factor model, with a short-term and a long-term interest rate factor. We report the results of simulations of American option values using our method and show how they vary with the key parameter inputs, such as the maturity of the bond, its volatility, and the option strike price.

This paper reports measures of preference parameters relating to risk tolerance, time preference, and intertemporal substitution. These measures are based on survey responses to hypothetical situations constructed using an economic theorist's concept of the underlying parameters. The individual measures of preference parameters display heterogeneity. Estimated risk tolerance and the elasticity of intertemporal substitution are essentially uncorrelated across individuals. Measured risk tolerance is positively related to risky behaviors, including smoking, drinking, failing to have insurance, and holding stocks rather than Treasury bills. These relationships are both statistically and quantitatively significant, although measured risk tolerance explains only a small fraction of the variation of the studied behaviors.