Contrary to existing theory, even in perfect markets (with symmetric information, no taxes, and competitive, transaction costless capital markets) callable debt can induce investment incentives that are inferior (as well as superior) to those induced by non-callable debt, the outcome depending on cash flow and interest rate distributions. We derive necessary conditions for callable debt to induce inferior investment decisions, and define the “Call-Default Condition” as the cash flow distortion where calling prevents default that would have occurred with non-callable debt. These results complicate the argument that investment incentives explain the presence of the call provision in debt contracts.

Nearly all futures contracts allow delivery of any of several qualities of the underlying asset. Consequently, the price of the futures contract is associated more with the price of the expected cheapest deliverable variety than with the price of the par‐delivery variety. The delivery specifications introduce a delivery risk for every hedger in the market. We derive the optimal hedging strategies in these markets. Their hedging effectiveness is evaluated for wheat futures contracts in Chicago. Hedging optimally would have significantly reduced the variance of the rates of return on hedges while yielding similar mean returns.

Nearly all futures contracts allow delivery of any of several qualities of the underlying asset. Consequently, the price of the futures contract is associated more with the price of the expected cheapest deliverable variety than with the price of the par-delivery variety. The delivery specifications introduce a delivery risk for every hedger in the market. We derive the optimal hedging strategies in these markets. Their hedging effectiveness is evaluated for wheat futures contracts in Chicago. Hedging optimally would have significantly reduced the variance of the rates of return on hedges while yielding similar mean returns.

The flattening of yield curves at long-term maturities is proven to be approximately proportional to the reciprocal of the time to maturity under general conditions. This is a consequence of the persistence of earlier forward rates in the averaging process, which produces yields from forward rates. This relationship suggests the use of a “reciprocal maturity yield curve, ” which significantly facilitates the interpretation of the behavior of long-term yields by linearizing them for display over a shorter interval. This is illustrated using a yield curve for U.S. Treasury bills.

We develop asset pricing models’ implications for portfolio efficiency with conditioning information in the form of lagged instruments. A model identifies a portfolio that should be minimum-variance efficient with respect to the conditioning information. Our framework refines tests of portfolio efficiency by using the given conditioning information optimally. The optimal use of the lagged variables is economically important; by using the instruments optimally, we reject several efficiency hypotheses that are not otherwise rejected. The Sharpe ratios of a sample of hedge fund indexes appear consistent with the optimal use of conditioning information.

Hansen and Jagannathan (1991) (hereafter HJ) derive restrictions on the volatility of stochastic discount factors that price a given set of returns. This article studies the sampling properties of HJ bounds that use conditioning information. One approach is to multiply the returns by the lagged variables. We also study optimized HJ bounds with conditioning information from Gallant, Hansen, and Tauchen (1990) and based on portfolios derived in Ferson and Siegel (2001). We document striking finite-sample biases in the HJ bounds, where the bounds reject asset-pricing models too often. We provide a useful bias correction. We also evaluate asymptotic standard errors for the bounds from Hansen, Heaton, and Luttmer (1995).

This study distinguishes between incremental and relative information content. Incremental comparisons ask whether one accounting measure provides information content beyond that provided by another, and apply when one measure is viewed as given and an assessment is desired regarding the incremental contribution of another (e.g., a supplemental disclosure). Relative comparisons ask which measure has greater information content, and apply when making mutually exclusive choices among alternatives, or when rankings by information content are desired (e.g., when comparing alternative disclosures). Questions of both incremental and relative information content arise frequently in accounting. However, few previous studies have examined questions of relative information content. Possible explanations include unfamiliarity with the relative versus incremental distinction, and the additional statistical complexity involved in testing for relative information content. First, we examine analytically the relation between incremental and relative information content, demonstrating that they address different research questions and require different tests for statistical significance. Second, we identify accounting research contexts in which questions of relative and incremental information content arise. Third, we propose a new regression‐based test for relative information content. This test applies to both returns and valuation studies, generalizes to any number of predictor variables, and can be used in conjunction with White's (1980) adjustment for heteroskedasticity. Fourth, we illustrate tests for relative and incremental information content in a familiar research setting that compares the information contents of net income, cash flows, and net sales in 40 industries. Résumé. Les auteurs établissent la distinction entre le contenu marginal et relatif en information. Les comparaisons du contenu marginal visent à déterminer si une mesure comptable livre un contenu en information supérieur à celui d'une autre, et elles s'appliquent dans les cas où une mesure est considérée comme étant donnée et où l'on souhaite évaluer la contribution marginale d'une autre mesure (par exemple, la présentation de renseignements complémentaires). Les comparaisons du contenu relatif visent à déterminer quelle mesure livre un contenu en information supérieur , et elles s'appliquent dans les cas où les choix entre différentes possibilités sont mutuellement exclusifs ou lorsqu'il s'agit d'établir des classifications selon le contenu en information (par exemple, dans la comparaison de différentes possibilités en ce qui a trait à la présentation d'information). La question du contenu marginal aussi bien que du contenu relatif en information se pose fréquemment en comptabilité. Dans les études réalisées jusqu'à maintenant, l'on s'est peu intéressé aux questions touchant le contenu relatif en information. Cette lacune pourrait s'expliquer, entre autres, par le caractère inusité de la distinction entre contenu relatif et contenu marginal en information et par la complexité statistique accrue que supposent des tests portant sur le contenu relatif en information. Selon un schéma analytique, les auteurs examinent en premier lieu la relation entre le contenu marginal et le contenu relatif en information, en démontrant que les mesures correspondantes se rapportent à des questions de recherche différentes et qu'elles exigent des tests de signification statistique différents. Ils déterminent en deuxième lieu quels sont les contextes de recherche comptable dans lesquels se posent les questions pertinentes au contenu relatif et marginal en information. Ils proposent, en troisième lieu, un test inédit fondé sur la régression et s'appliquant au contenu relatif en information. Ce test convient à la fois aux études de rendement et aux études d'évaluation, peut être généralisé à n'importe quel nombre de variables prédictives et peut être utilisé en association avec l'ajustement de White (1980) relatif à l'hétéroscédasticité. Ils illustrent, en quatrième lieu, l'application de tests du contenu relatif et marginal en information dans un contexte de recherche familier où le contenu informationnel du bénéfice net, des flux de trésorerie et du chiffre d'affaires net est comparé dans 40 entreprises.

We study the properties of unconditional minimum‐variance portfolios in the presence of conditioning information. Such portfolios attain the smallest variance for a given mean among all possible portfolios formed using the conditioning information. We provide explicit solutions for n risky assets, either with or without a riskless asset. Our solutions provide insights into portfolio management problems and issues in conditional asset pricing.