ABATEMENT COST HETEROGENEITY IN PHASE I ELECTRIC UTILITIES

The market-based instruments embodied in the Acid Rain Program have been instrumental in the reduction of SO₂ and NO _x emissions from electric utilities. Economic theory suggests that tradable pollution permit systems encourage polluters to reallocate pollution burdens to take advantage of any differences in marginal abatement costs. Such reallocations improve the efficiency of pollution reduction. This article evaluates the effectiveness of the first phase of the Acid Rain Program in achieving increased homogeneity of marginal abatement costs using an output distance function approach. The results indicate that plants have been successful in adapting to this more flexible regulatory framework.     

Competing for Order Flow in OTC Markets

We develop a model of a two‐sided asset market in which trades are intermediated by dealers and are bilateral. Dealers compete to attract order flow by posting the terms at which they execute trades—which can include prices, quantities, and execution speed—and investors direct their orders toward dealers who offer the most attractive terms. We characterize the equilibrium in a general setting, and we illustrate theoretically and numerically how the model can account for several important trading patterns in over‐the‐counter markets, which do not emerge from existing models.     

Do Inflation Expectations Propagate the Inflationary Impact of Real Oil Price Shocks?: Evidence from the Michigan Survey

This paper presents evidence that inflation expectations, as measured by the Michigan Survey of Consumers, only play a minimal role in the propagation of real oil price shocks into inflation. This is despite evidence that confirms that inflation expectations are sensitive to real oil price shocks. Further analysis suggests that after the 1990s, inflation expectations may have played no part in propagating real oil price shocks into inflation.     

Abstracts/Résumés

This paper examines whether credit analysts utilize the information contained in the difference between book and taxable income in analyzing a firm’s credit risk. Increased book–tax differences may be informative for credit rating agencies as they may signal decreased earnings quality or changes in the firm’s off–balance sheet financing. Results suggest a significant negative association between positive changes in book–tax differences and ratings changes. This evidence is consistent with large positive changes in book–tax differences signaling decreased earnings quality and/or increased off–balance sheet financing. We also find that large negative changes in book–tax differences result in less favorable rating changes, consistent with these changes signaling decreased earnings quality. In additional analyses, we find that the association between changes in book–tax differences and rating changes is attenuated for high–tax‐planning firms (e.g., where book–tax differences more likely reflect tax planning than decreased earnings quality).     

Auditors' usage of unaudited book values when making presampling audit value estimates*

Abstract. An important issue in audit judgment research concerns auditors' use of unaudited book values when making judgments in the presampling phase of the audit. This paper presents a rudimentary model of the auditor's belief revision process with respect to unaudited book values from an audit value estimation perspective. An experiment testing some implications of the model is also presented. The model proposes that the auditor should judge the validity of unaudited book values in the circumstances and use them accordingly when making presampling audit value estimates. The experimental results indicated that the subjects (auditors) used available unaudited book values and that the extent of usage varied over accounts. However, the results also indicated some inaccurate presampling validity judgments which led to overweighting of unaudited book values. Résumé. Une question importante qui préoccupe les chercheurs dans le domaine de la formulation de jugements en vérification a trait à l'utilisation par les vérificateurs de valeurs comptables non vérifiées dans la formulation de jugements au cours de la phase de la vérification précédant l'échantillonnage. Les auteurs présentent un modèle rudimentaire du processus de révision des convictions du vérificateur en ce qui a trait aux valeurs comptables non vérifiées dans une perspective d'estimation de la valeur de vérification. Ils font également état d'une expérience destinée à vérifier certaines des conséquences du modèle. Selon le modèle, le vérificateur devrait juger de la validité des valeurs comptables non vérifiées dans les circonstances et les utiliser en conséquence dans la formation d'estimations de la valeur de vérification avant échantillonnage. Les résultats de l'expérience révèlent que les sujets (vérificateurs) utilisent les valeurs comptables non vérifiées disponibles et que l'étendue de cette utilisation varie avec les comptes. Toutefois, les résultats révèlent aussi l'inexactitude de certains jugements relatifs à la validité antérieure à l'échantillonnage, à la suite desquels une importance trop grande a été accordée aux valeurs comptables non vérifiées.     

Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market

We study the impact of algorithmic trading (AT) in the foreign exchange market using a long time series of high‐frequency data that identify computer‐generated trading activity. We find that AT causes an improvement in two measures of price efficiency: the frequency of triangular arbitrage opportunities and the autocorrelation of high‐frequency returns. We show that the reduction in arbitrage opportunities is associated primarily with computers taking liquidity. This result is consistent with the view that AT improves informational efficiency by speeding up price discovery, but that it may also impose higher adverse selection costs on slower traders. In contrast, the reduction in the autocorrelation of returns owes more to the algorithmic provision of liquidity. We also find evidence consistent with the strategies of algorithmic traders being highly correlated. This correlation, however, does not appear to cause a degradation in market quality, at least not on average.