Despite the fact that taxable investors would prefer to defer the realization of capital gains indefinitely, most open-end mutual funds regularly realize and distribute a large portion of their gains. We present a model in which unrealized gains in the fund's portfolio increase expected future taxable distributions, and thus increase the present value of a new investor's tax liability. In equilibrium, managers interested in attracting new investors pass through taxable capital gains to reduce the overhang of unrealized gains. This model contains a number of empirical predictions that are consistent with data on actual fund overhangs.

A number of authors have found that firm size and book-to-market-value capture the cross-sectional variation in average stock returns. More importantly, these variables have been shown to out-perform the CAPM's β coefficient in explaining the cross-section of US stock returns. However, these studies all employ variants of the two-step estimator due to Fama and MacBeth (Fama, E.F., MacBeth, J.D., 1973. Risk, return and equilibrium: Empirical tests. Journal of Political Economy 71, 607–636), which impose implicitly the restriction that idiosyncratic returns are uncorrelated. In this paper we use a one-step estimator due to McElroy et al. (McElroy, M.B., Burmeister, E., Wall, K.D., 1985. Two estimators for the APT model when factors are measured. Economics Letters 19, 271–275) and find a highly significant role for β risk in the UK stock market when we allow for correlation amongst idiosyncratic returns.

With a stochastic time change from calendar-time to information-time, we derive a parsimonious option pricing formula with stochastic volatility as a risk-neutral Poisson sum of Merton's (1973) prices over the option's information-time maturity domain. The formula contains two unobservable parameters, information arrival intensity and information-time asset volatility, with stochastic volatility induced by random information arrival. When the information arrival rate intensifies, the option price increases and vice-versa. We test the formula in pricing, hedging, and excess profits capture empirically using currency and the S&P 500 futures options transaction data.

We present evidence that insured deposit financing shields banks from the full costs of market discipline. Moody's downgrades, indicators of increasing risk, are associated with negative abnormal equity returns that are increasing in the bank's reliance on insured deposits. Moreover, banks raise their use of insured deposits following increases in risk. These findings cast doubt on the ability of capital market participants to effectively discipline bank behavior within the current regulatory environment. More generally, our findings highlight the potential for regulation to undermine market discipline in regulated industries.

This paper examines the role of skilled labor in the growth of total factor productivity. We use panel data from manufacturing industries to assess the extent to which productivity growth in yearly cross sections is tied to industry shares of skilled labor inputs. We find robust evidence that productivity growth was increasingly concentrated in high-skill industries during a unique ten-year period beginning in the early 1970s. We do not find any positive association of productivity growth with new capital investment.

Using London Stock Exchange data, we test the central implication of the canonical model of Ho and Stoll (1983) that relative inventory differences determine dealer behavior. We find that relative inventories explain which dealers obtain large trades and show that movements between best ask, best bid, and straddle are highly correlated with both standardized and relative inventory changes. We show that the mean reversion in inventories is highly nonlinear and increasing in inventory levels. We show that a key determinant of variations in interdealer trading is inventories and that interdealer trading plays an important role in managing large inventory positions.

We examine whether the application of fundamental analysis can yield significant abnormal returns. Using a collection of signals that reflect traditional rules of fundamental analysis related to contemporaneous changes in inventories, accounts receivables, gross margins, selling expenses, capital expenditures, effective tax rates, inventory methods, audit qualifications, and labor force sales productivity, we form portfolios that earn an average 12- month cumulative size-adjusted abnormal return of 13.2 percent. We find evidence that the fundamental signals provide information about future returns that is associated with future earnings news. Moreover, a significant portion of the abnormal returns is generated around subsequent earnings announcements. These findings are consistent with the underlying focus of fundamental analysis on the prediction of earnings. Significant abnormal returns to the fundamental strategy are not earned after the end of one year of return cumulation, indicating little support for the idea that the signals capture information about multiple-year-ahead earnings not immediately impounded in price or about long-term shifts in firm risk. Additional analysis on a holdout sample suggests that the strategy continues to generate abnormal returns in a period subsequent to the introduction of the fundamental signals in the literature, and contextual analyses indicate that the strategy performs better for certain types of firms (e.g., firms with prior bad news).

This paper investigates the informational role of transactions volume in options markets. We develop an asymmetric information model in which informed traders may trade in option or equity markets. We show conditions under which informed traders trade options, and we investigate the implications of this for the linkage between markets. Our model predicts an important informational role for the volume of particular types of option trades. We empirically test our model's hypotheses with intraday option data. Our main empirical result is that negative and positive option volumes contain information about future stock prices.

Previous tests for liquidity constraints using consumption Euler equations have frequently split the sample on the basis of wealth, arguing that low-wealth consumers are more likely to be constrained. We propose alternative tests using different and more direct information on borrowing constraints obtained from the 1983 Survey of Consumer Finances. In a first stage we estimate probabilities of being constrained, which are then utilized in a second sample, the Panel Study of Income Dynamics, to estimate switching regression models of the Euler equation. Our estimates indicate stronger excess sensitivity associated with the possibility of liquidity constraints than the sample splitting approach.