The weighted average cost of capital (Ko) is presented in virtually all textbooks in financial management and capital budgeting as a practical concept fundamental to the actual selection of optimal financial and investment alternatives. As often employed Ko can be defined as

where

Ko = the weighted average cost of capital,

Ks = the cost of equity capital,

Kb = the cost of debt capital,

S = the market value of the firm's equity,

B = the market value of the firm's debt, and

V = S + B, the total market value of the firm.

Whenever the firm must borrow funds, it must also decide maturity of the new debt. Yet, the decision models which have dealt with the debt maturity decision have done so almost incidentally, as an extension of the decision to exercise the call provision on outstanding bonds ([6], [10], [23]). There has been little direct examination of the corporate debt maturity decision. In an attempt to fill this gap, this paper is an exploration of the debt maturity decision for a firm which is concerned with minimizing the present value of the expected costs of borrowing. This paper develops a discrete dynamic programming model of the debt maturity decision, in a world where interest rates follow a finite Markov process, and where the yield curve is formed from expectations regarding the future course of interest rates. With this optimization model, the influence on the debt maturity strategy of variables such as flotation costs and liquidity premiums will be explored. There will be no consideration of the risks associated with alternative borrowing strategies.

This study tests whether a “portfolio effect” exists in a given branch bank; i.e., does the addition of branches reduce the variability of demand deposits for the bank? The approach taken is narrower than that in the usual portfolio selection model. The study measures risk by the intrayear coefficient of variation of average monthly demand deposits. The term “portfolio effect” was defined operationally as a reduction in the overall coefficient of variation of demand deposits through the addition of sets of branches. Relatively few portfolio effects were realized from the chronological addition of sets of branches. The absence of portfolio effects is largely attributable to (1) generally high positive correlations between deposits of the various sets of branches and the defined deposit base and (2) the small size of the sets of branches relative to the base deposits. Further, while the correlations were generally high and positive, they were also serially unstable which suggests they would be poor predictors of future correlations. Based on the experience of this bank, it does not appear that the reduction in demand deposit variability by adding branches is general or consistent enough to facilitate improved management of reserves or selection of branch locations. However, this conclusion does not necessarily imply that the bank should not have undertaken branch expansion. For example, this study does not include an analysis of branch profitability. While the results of this study based on a single branch bank cannot be generalized, they do suggest the need for a more comprehensive analysis of the impact of branching on the variability of demand deposits.

Led by James J. Hill, a group of businessmen expanded the use of coal as a fuel in the Northwest by monopolizing the market, apportioning the business among a limited number of people, maintaining prices, profit margins, and profit flow, thereby establishing a reputation of dependability for the fuel and a source of risk capital for further investment in the industry. This, Professor Martin argues, was a clear case of “constructive monopoly.”

This study reports interest rates on New York Bankers' balances and argues that their stability in periods of generally falling interest rates was a sign of a highly competitive financial system.