We provide a rationale for the presence of points in mortgage loan contracts. Our analysis builds on two key features. First, insurance markets are unavailable for labor income. Second, the “due-on-sale” clause allows banks to offer loan contracts which partially insure against fluctuations in labor income. If explicit prepayment penalties are prohibited by law, points serve effectively as prepayment penalties. We also examine environments where such penalties are not prohibited and show that points will be used if interest rates cannot depend on the size of the loan.

This paper shows that bank runs can be modeled as an equilibrium phenomenon. We demonstrate that some aspects of the intuitive “story” that bank runs start with fears of insolvency of banks can be rigorously modeled. If individuals observe long “lines” at the bank, they correctly infer that there is a possibility that the bank is about to fail and precipitate a bank run. However, bank runs occur even when no one has any adverse information. Extra market constraints such as suspension of convertibility can prevent bank runs and result in superior allocations.

Capital requirements linked solely to credit risk are shown to increase equilibrium credit rationing and lower aggregate lending. The model predicts that the bank's decision to lend will cause an abnormal run-up in the borrower's stock price and that this reaction will be greater the more capital-constrained the bank. The author provides empirical support for this prediction. The model explains the recent inability of the Federal Reserve to stimulate bank lending by increasing the money supply. He shows that increasing the money supply can either raise or lower lending when capital requirements are linked only to credit risk.

This study is a refinement and an extension of an earlier study by McCulloch of tax effects in the regression equation for term structure estimation. This study includes tests for tax effects and heteroskedasticity, a reconsideration of the need for an instrumental variable, and a search for the capital gains tax rate in addition to the ordinary‐income tax rate. There are two major findings: (1) statistically significant tax‐induced bias in the non‐tax‐adjusted equation and (2) evidence that the capital gains tax is misspecified in the tax‐adjusted equation.

J. V. Jordan, Term Structure Modeling Using Exponential Splines: Discussion, The Journal of Finance, Vol. 37, No. 2, Papers and Proceedings of the Fortieth Annual Meeting of the American Finance Association, Washington, D.C., December 28-30, 1981 (May, 1982), pp. 354-356

Investors' security demands and two points on the yield curve are jointly determined using a disaggregated structural model of the U.S. Treasury securities market. The empirical results indicate that the structural model is capable of accurately explaining Treasury yields and that changes in a variety of nonyield variables affect the yield curve. Among these nonyield variables are Treasury security supplies, which are found to have significant but somewhat volatile impacts depending on investors' wealth flows. The within‐sample predictions from the structural model are also compared to those of a naive model.

Investors' security demands and two points on the yield curve are jointly determined using a disaggregated structural model of the U.S. Treasury securities market. The empirical results indicate that the structural model is capable of accurately explaining Treasury yields and that changes in a variety of nonyield variables affect the yield curve. Among these nonyield variables are Treasury security supplies, which are found to have significant but somewhat volatile impacts depending on investors' wealth flows. The within-sample predictions from the structural model are also compared to those of a naive model.