Seasonal Variation in Cost-of-Funds at Thrift Institutions

The purpose of this note is threefold. First, in addition to the well-known seasonal pattern to the eleventh-district cost-of-funds (COF), we document a twelve-month seasonal in the national median COF. Second, we demonstrate that the cause of seasonality in each of these COF series is due to the maladjustment of length-of-month effects. In particular, the eleventh-district COF is biased upwards in relatively short months while the national median is biased downward. Third, we show that the popular partial adjustment model for modeling the COF is misspecified.     

Chemical market research: Passive and dynamic functions

In this article Mr. A. L. Waddams, Chairman of the EVAF European Chemical Marketing Research Association, presents his thoughts on the different ways in which market research can be utilized to advance a complex project. Two main interactions, between market research and the project, are considered: the first where the findings of the market researchers are “fed-in” and the project then proceeds without further collaboration from the market research team; and a second where market researchers carry some responsibility for furthering a project, in the light of the understanding they have gained from carrying out the research. Mr. Waddams coins the phrases “passive function” and “dynamic function”, respectively, for these different rôles of market research.     

Market Power,Efficiency and the Dispersion of Systematic Risk

A number of studies have used the Capital Asset Pricing Model (CAPM) to integrate product market and financial theories of the firm. We reexamine the relationship between product market structure and systematic risk at the firm and industry level. We show that theory yields no testable implications at the firm level. We show, however, that there is a relationship between the intraindustry dispersion of systematic risk and industry concentration which depends on the causes and consequences of concentration. Estimates of the relationship between the intraindustry variance of and concentration for a 1987 cross-section of U.S. industries suggest that concentration allows larger firms to exercise market power.     

FDI and Growth: What Causes What?

This paper examines the causal relationship between FDI and economic growth by using an innovative econometric methodology to study the direction of causality between the two variables. We apply our methodology, based on the Toda‐Yamamoto test for causality, to time‐series data covering the period 1969–2000 for three developing countries, namely Chile, Malaysia and Thailand, all of them major recipients of FDI with a different history of macroeconomic episodes, policy regimes and growth patterns. Our empirical findings clearly suggest that it is GDP that causes FDI in the case of Chile and not vice versa, while for both Malaysia and Thailand, there is a strong evidence of a bi‐directional causality between the two variables. The robustness of the above findings is confirmed by the use of a bootstrap test employed to test the validity of our results.