TIME CONSISTENCY AND SELLER COMMITMENT IN INTERTEMPORAL MOVIE DISTRIBUTION: AN EMPIRICAL STUDY OF THE VIDEO WINDOW*

We study the determinants of the ‘video window’ (the interval between a movie's theatrical and video releases), based on a sample of 1,157 films released on video between 1988 and 1997. For subsets of films having shorter theater run lengths (1 to 17 weeks), windows were generally longer than, and largely invariant to, measures of the time required to exhaust the theater market. One interpretation of our results is that U.S. movie distributors resolved a time consistency problem by coordinating their behavior to maintain longer windows than would have otherwise resulted, but different explanations are also plausible.     

JAPANESE ANTITRUST: RECONCILING THEORY AND EVIDENCE

Japanese antitrust law exempts a variety of vertical and horizontal restraints that remain closely regulated in the United States. Despite these dissimilar antitrust environments, however, market concentration, firms' exercise of market power, and deadweight loss from monopoly are highly similar in the two countries. The hypothesis that antitrust alters the relative mix of price to non-price competition rather than the absolute level that competition assumes might explain this empirical puzzle. Thus, this paper studies Japanese antitrust exemptions for resale price maintenance and export cartel associations to illustrate how adopting vertical and horizontal restraints has allowed Japanese firms to substitute towards forms of non-price competition better tailored to industry characteristics.     

Is the Real Interest Rate Stable?

Univariate time-series models for consumption, nominal interest rates, and prices each appear to have a single unit root before 1979. If nominal interest rates have a unit root but inflation and inflation forecast errors do not, then ex ante real interest rates have a unit root and are therefore nonstationary. This deduction does not depend on the properties of the unobservable ex post observed real return, which combines the ex ante real interest rate and inflation-forecasting errors. The unit-root characteristic of real interest rates is puzzling from at least two perspectives: many models imply that the growth rate of consumption and the real interest rate should have similar time-series characteristics; also, nominal returns for other assets (e.g., stocks and bonds) appear to have different times-series properties from those of treasury bills.     

Federal Deposit Insurance,Regulatory Policy,and Optimal Bank Capital*

This paper seeks to explain the combination of explicit and implicit pricing for deposit insurance employed by the FDIC. Essentially, the FDIC sells two products—insurance and regulation. To span the product space, it must and does set two prices. We argue that the need to establish regulatory disincentives to bank risk-taking is the heart of the controversy over the adequacy of bank capital and that the ability to close risky banks before exhausting their charter value (i.e., the value of their right to continue in business) stands at the center of these disincentives and in front of the FDIC's insurance reserves.     

A Practical Framework for the Analysis of Social Security Reform

‘When I use a word’, Humpty Dumpty said in a rather scornful tone, ‘it means just what I choose it lo mean — neither more nor less’. (Through the Looking Glass, Ch. 6)     

A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks

We propose a nonparametric method for estimating the pricing formula of a derivative asset using learning networks. Although not a substitute for the more traditional arbitrage-based pricing formulas, network-pricing formulas may be more accurate and computationally more efficient alternatives when the underlying asset's price dynamics are unknown, or when the pricing equation associated with the no-arbitrage condition cannot be solved analytically. To assess the potential value of network pricing formulas, we simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis function networks, multilayer perceptron networks, and projection pursuit. To illustrate the practical relevance of our network pricing approach, we apply it to the pricing and delta-hedging of S&P 500 futures options from 1987 to 1991.     

Evidence on the Timing and Determinants of Overfunded Pension Plan Termination

This paper examines the factors associated with the timing of overfunded pension plan termination.     

How to Discount Cashflows with Time-Varying Expected Returns

While many studies document that the market risk premium is predictable and that betas are not constant, the dividend discount model ignores time‐varying risk premiums and betas. We develop a model to consistently value cashflows with changing risk‐free rates, predictable risk premiums, and conditional betas in the context of a conditional CAPM. Practical valuation is accomplished with an analytic term structure of discount rates, with different discount rates applied to expected cashflows at different horizons. Using constant discount rates can produce large misvaluations, which, in portfolio data, are mostly driven at short horizons by market risk premiums and at long horizons by time variation in risk‐free rates and factor loadings.     

Earnings Quality, Insider Trading, and Cost of Capital

Previous research argues that earnings quality, measured as the unsigned abnormal accruals, proxies for information asymmetries that affect cost of capital. We examine this argument directly in two stages. In the first stage, we estimate firms' exposure to an earnings quality factor in the context of a Fama‐French three‐factor model augmented by the return on a factor‐mimicking portfolio that is long in low earnings quality firms and short in high earnings quality firms. In the second stage, we examine whether the earnings quality factor is priced and whether insider trading is more profitable for firms with higher exposure to that factor. Generally speaking, we find evidence consistent with pricing of the earnings quality factor and insiders trading more profitably in firms with higher exposure to that factor.