A microeconomic model of bank demand for borrowed reserves from the Federal Reserve is developed based upon constrained cost minimization. The derived demand function was found to correspond to behavior appropriate to the unknown switchpoint switching regression problem. When estimated, parameters generally conformed to theoretical expectations. The model was also tested for existence of switching regression behavior against a model similar to Goldfeld and Kane [12]. Significance exceeded 99% in all cases. With the advent of reserve intermediate targeting, it appears especially necessary to reinvestigate the behavior determining this important source of reserves.

This paper presents a formal theoretic framework to analyze credit union interest rates on loans and savings deposits. The unique motivational and institutional features of a credit union, in particular its structure as a financial service cooperative, are used to develop the objective function. This is based on a comparison of the credit union's rates to alternatively available market rates and includes parameters to recognize the possibility of borrower-saver conflict. The principal result is that the optimal rates and reactions to exogenous changes depend critically on the preference of the organization toward financial gain to the borrowing and saving members.

This paper presents a formal theoretic framework to analyze credit union interest rates on loans and savings deposits. The unique motivational and institutional features of a credit union, in particular its structure as a financial service cooperative, are used to develop the objective function. This is based on a comparison of the credit union's rates to alternatively available market rates and includes parameters to recognize the possibility of borrower‐saver conflict. The principal result is that the optimal rates and reactions to exogenous changes depend critically on the preference of the organization toward financial gain to the borrowing and saving members.

This study uses a longer time period and additional stocks to further investigate the weekend effect. We find consistently negative Monday returns (1) for the S & P Composite as early as 1928, (2) for Exchange‐traded stocks of firms of all sizes, and (3) for actively traded over‐the‐counter (OTC) stocks. The OTC results are based on bid prices and therefore appear to reject specialist‐related explanations. For the 30 individual stocks of the Dow Jones Industrial Index, the average correlation between Friday and Monday returns is positive and the highest of all pairs of successive days. The latter finding is inconsistent with fairly general measurement‐error explanations.