An Economic Analysis of Interest Rate Swaps

Interest rate swaps, a financial innovation in recent years, are based upon the principle of comparative advantage. An interest rate swap is a useful tool for active liability management and for hedging against interest rate risk. The purpose of this paper is to provide a simple economic analysis of interest rate swaps. Alternative uses of and the appropriate valuation procedure for interest rate swaps are described.     

Arbitrage Chains

A privately informed trader will engage in costly arbitrage, that is, trade on his knowledge that the price of an asset is different from the fundamental value if: (1) his order does not move the price immediately to reflect the information; and (2) he can hold the asset until the date when the information is reflected in the price. We study a general equilibrium model in which all agents optimize. In each period, there may be a trader with a limited horizon who has private information about a distant event. Whether he acts on his information, and whether subsequent informed traders act, is shown to depend on the possibility of a sequence or chain of future informed traders spanning the event date. An arbitrageur who receives good news will buy only if it is likely that, at the end of his trading horizon, a subsequent arbitrageur's buying will have pushed up the expected price. We show that limited trading horizons result in inefficient prices, because informed traders do not act on their information until the event date is sufficiently close. We also show that limited horizons can arise because of the cost-carry associated with holding an arbitrage portfolio over an extended period of time.     

Testing the Monopoly Union Model: A Stochastic Frontier Approach

This study applies stochastic frontier analysis to test the monopoly union model. This approach allows the use of a wider data set than has been previously employed. We fit a stochastic cost frontier to data from the U.S. manufacturing sector that includes exogenous sources of potential inefficiency including unionization. Our findings suggest that over the 1972–1982 time period, more heavily unionized industries in the U.S. manufacturing sector were more likely to operate off their labor demand curve. This result is inconsistent with the monopoly union model predictions.     

The theory of value and earnings,and an introduction to the Ball-Brown analysis*

Abstract. The paper develops a simple and parsimonious model that relates earnings and unexpected earnings to market returns. The analysis emphasizes that any model under uncertainty must be consistent with the theory of value, earnings, and dividends under certainty (i.e., Hicksian income theory). An extension of this theory exists such that the model subsumes uncertainty. The Hicksian approach is useful because it embeds key dividend irrelevancy concepts due to Modigliani and Miller (1961), and these can be retained under uncertainty. An interesting empirical proposition can be inferred from the model: earnings, rather than the change in earnings, ought to serve as a premier exploratory variable of returns. This contention is consistent with some recent empirical findings due to Easton and Harris (1991). Résumé. L'auteur élabore un modèle simple et parcimonieux qui relie les bénéfices, et les bénéfices imprévus, aux rendements du marché. L'analyse met en relief le fait que tout modèle en situation d'incertitude doit être conforme á la théorie de la valeur, des bénéfices et des dividendes en situation de certitude (c'est-á-dire la théorie hicksienne des bénéfices). Cette théorie peut être élargie de telle sorte que le modèle tienne compte de l'incertitude. L'utilité de l'approche hicksienne tient au fait qu'elle englobe les concepts clés de non-pertinence relatifs au dividende que l'on attribue á Modigliani et Miller. et que ces concepts peuvent être appliqués en situation d'incertitude. Ce modèle permet de formuler une proposition empirique intéressante: les bénéfices, plutôt que l'évolution des bénéfices, doivent servir de première variable exploratoire des rendements. Cette affirmation est conforme aux résultats empiriques récemment obtenus pas Easton et Harris.     

The sensitivity of financial distress prediction models to departures from normality*

Abstract. This research empirically investigated the effect of nonnormality on financial stress prediction. The analysis included the application of probit, logit and multiple discriminant analysis to prediction models found in previous literature, and also involved separate samples for both bankrupt and problem-status companies. Finally, the statistical techniques were evaluated under extreme conditions of nonnormality. Two basic procedures were used to modify the ratio distributions to achieve normality. These included a square-root transformation procedure and an outlier deletion procedure. Results were compared using both a univariate and a multivariate technique to identify and remove outliers. The results indicate the general sensitivity of the multiple discriminant analysis technique to departures from normality and the sensitivity of the logit and probit techniques to extreme nonnormality. The data indicate that researchers interested in assessing classification accuracy might benefit by testing for distributional sensitivity using procedures outlined in this research. Resumé. Les auteurs ont procédé à une analyse empirique de l'incidence des écarts par rapport à la normalité sur la prévision des contraintes financières. L'analyse comporte l'application du probit, du logit et de l'analyse à discriminants multiples aux modèles prévisionnnels que l'on trouve dans des publications, et l'on a eu recours à des échantillons distincts tant pour les sociétés en situation de faillite que pour les sociétés en difficulté. Enfin, les techniques statistiques ont été évaluees dans des conditions extrêmes d'écart par rapport à la normalité. Deux méthodes fondamentales ont été utilisées pour modifier les distributions de ratios de façon à parvenir à la normalité. Ces méthodes comprennent un procédé de transformation de la racine carrée et un procédé d'élimination des éléments isolés. Les résultats obtenus ont été comparés à l'aide d'une technique univariée ainsi que d'une technique multivariée pour repérer et supprimer les éléments isolés. Les résultats indiquent la sensibilité générale de la technique d'analyse à discriminants multiples aux déviations par rapport à la normalité et la sensibilité des techniques logit et probit aux écarts extrêmes par rapport à la normalité. Ces données révèlent que les chercheurs qui s'intéressent à l'évaluation de l'axactitude de la classification pourraient tirer profit d'une vérification de la sensibilité de la distribution au moyen des méthodes décrites par les auteurs.