For almost a decade, Myron Gordon has argued repeatedly that an enterprise's dividend policy can affect its share price [2, 3, and 4]. The essence of his argument is that risk-averse investors are likely to perceive current dividends as less risky than future ones. Consequently, a corporate decision to reduce current, in favor of increased future, dividends will reduce share prices, even when the funds are invested to yield the firm's cost of capital.

The facts of increased institutional trading on the nation's securities markets are by now well known. On the New York Stock Exchange (NYSE), the six major institutional groups—insurance companies, investment companies, noninsured pension funds, nonprofit institutions, common trusts, and mutual savings banks, now own more than one-fourth of the market value of listed shares compared with less than 16 percent at the end of 1956. But, ownership is merely the tip of the perennial iceberg, since institutional trading of stock has become much more significant than institutional ownership. This fact is pointed up in the recent SEC Study of Institutional Investors. It shows that there has been a relatively slow increase in the share of outstanding stock owned by institutions in all markets, but the institutional share of trading has mushroomed.

This paper has shown that the models developed to select common stock port-folios can be adapted to the selection of real estate portfolios and mixed asset portfolios. The concepts are all identical, and as long as return and risk can be quantified, the problems are soluble.The portfolios identified using a small sample indicate that real estate portfolios can have more return and less risk than do common stock portfolios. When the two assets are combined, the real estate assets dominate the resultant portfolios. On an after-tax basis these results are more apparent. The local aspect of real estate versus the national aspect of common stocks is primarily responsible for these results.

George Kaufman and Cynthia Latta in “The Demand for Money: Preliminary Evidence from Industrial Countries, ” have presented econometric evidence that the money-demand function may shift with the development of financial markets. The thesis depends on the heightened cross-elasticities and lowered wealth-elasticities (or income-elasticities) that are supposed to attend the development of new near-money forms. Their evidence is based on a summary of statistics from money-demand equations for developed and less-developed countries.

It is often necessary to estimate a frequency function or certain points on a frequency function from very limited data. A usual procedure for this estimation involves two steps. From the set of “well-known” frequency functions, e.g., the normal, poisson, binomial, etc., one chooses that function which seems likely to best “fit” and then uses the available data to estimate the parameters of the chosen distribution. If no one “well-known” function can be chosen a priori, then perhaps several likely candidates are tried and the one which fits best according to some criterion is chosen. For many purposes, this procedure is quite unobjectionable.

Determining the market values of streams of future returns is a task common to many sorts of economic analysis. The literature on this subject is extensive at all levels of abstraction. However, most work has not taken uncertainty into account in a meaningful way.

Most businesses sell on credit. To administer credit, such companies set credit granting, term, and collection policies. This article analyzes one aspect of credit granting policy: the determination of the optimal number of credit applicants that should be accepted by a creditor. The emphasis in the relevant literature traditionally has been on techniques for estimating a credit applicant's probability of default and, to a lesser degree, on the decision to accept an applicant given his estimated probability of default. Cumulatively, these two decisions are crucial to any business selling on credit.

Robert C. Meier, The Application of Optimum-Seeking Techniques to Simulation Studies: A Preliminary Evaluation, The Journal of Financial and Quantitative Analysis, Vol. 2, No. 1 (Mar., 1967), pp. 31-51

Don C. Bridenstine, Implications of Balance of Payments Deficits for Bank Liquidity: Discussion, The Journal of Financial and Quantitative Analysis, Vol. 1, No. 1, Proceedings of the First Annual Meeting of the Western Finance Association (Mar., 1966), pp. 76-80

Alan Seelenfreund, George G. C. Parker, James C. Van Horne, Stock Price Behavior and Trading, The Journal of Financial and Quantitative Analysis, Vol. 3, No. 3, Special Issue: Random Walk Hypothesis (Sep., 1968), pp. 263-281