Moral Hazard,portfolio allocation,and asset returns for thrift institutions

This article examines the earnings performance of nontraditional assets allowed to thrifts since the early 1980s. It uses the statistical cost accounting methodology developed by Hester and Zoellner to estimate average returns on thrift portfolio investments for the years ending June 30, 1987 and June 30, 1988. Results show that average returns on land loans, service corporation investment, real estate investment, and commercial loans were significantly lower than returns on more traditional assets. The results are far more pronounced at capital deficient institutions, lending support to the hypothesis that they used nontraditional investments as a means of exploiting the deposit insurance system. Returns on nontraditional assets are significantly affected by geographic factors, even for well capitalized institutions. The article concludes with an evaluation of the reimposition of portfolio restrictions on thrifts by the Financial Institutions Reform, Recovery, and Enforcement Act of 1989.The views expressed in this paper are those of the authors and do not necessarily represent the views or opinions of the Federal Housing Finance Board, the Board of Governors of the Federal Reserve System, or the Federal Deposit Insurance Corporation. George Benston, Tom Fomby, Allen Berger, John Wolken, and anonymous referees made numerous constructive suggestions.     

Are Expected Inflation Rates and Expected Real Rates Negatively Correlated? A Long‐Run Test of the Mundell‐Tobin Hypothesis

Some empirical evidence suggests that the expected real interest and expected inflation rates are negatively correlated. This hypothesis of negative correlation is sometimes known as the Mundell‐Tobin hypothesis. In this article we reinvestigate this negative relation from a long‐term point of view using cointegration analysis. The data on the historical interest rate on T‐bills and the inflation rate indicate that the Mundell‐Tobin hypothesis does not hold in the long run for the United States, the United Kingdom, and Canada. We also obtain similar results using the real interest rate on index‐linked gilt traded in the United Kingdom.     

Public Sector Capital and the Production Efficiency of U.S. Regional Manufacturing Industries

This paper applies a stochastic frontier production model with time-varying technical efficiency to investigate the relationship between public capital and technical efficiency. It is based on the proposition that public capital has an effect on actual output by enhancing technical efficiency, thereby reducing the gap between maximum potential output and actual output. Empirical results using panel data from U.S. state manufacturing industries during 1969–86 show that technical efficiencies varied substantially, both between states and between years; variations in technical efficiency are significantly explained by variations in public-sector capital.
JEL Classification Numbers: O20, H54, C23.     

Intelligent Order Matching Systems for Commodity Markets

Automatic order matching systems have emerged as an electronic alternative to traditional markets. In current automatic order matching systems, price and quantity are the only product dimensions used for the order matching. However, a single-commodity market is made up of many heterogeneous goods which are close to each other but different in qualities and delivery conditions. Price and quantity are important but represent only parts of product attributes that commodity traders want to take into account. This study aims to extend current automatic order matching systems by diversifying product dimensions. An intelligent order matching system not only maximizes the total transaction volume based on the price and quantity but also satisfies traders' qualitative preferences over attributes other than price and quantity. The intelligent order matching mechanism combines an economic model with a preference model to incorporate both quantitative and qualitative utility of market participants. Constraint logic programming is investigated as a new information technology to structure and implement the intelligent order matching system.     

Race,revenues, and college basketball

Customer discrimination may result in racial differences in the marginal revenue products generated by workers. College basketball data allow for direct comparisons of the racial differences in the marginal revenues generated by players. This article compares the revenue generating potential of the top black and white college basketball players. A highly skilled white college player generates over $100,000 in per game revenues as compared to around $30,000 for a black player of equal talent, providing a strong incentive for colleges to discriminate against recruiting black student-athletes.