The thoughts presented in this paper were developed during the first stage of an ongoing research project. This project is designed to shed light on the management of the size and exchange composition of financial assets and liabilities in the U.S. multinational companies (MNCs). The study also intends to analyze the impact of these policies on the international and national financial markets.

Bernell Stone's paper extends the single-factor market model to a two-factor model to “better” explain the stochastic process that generates security returns. The inductive search for new models (of which his paper is one) presumably is predicated upon some unsatisfactory results of joint tests of the single-index market model and the capital asset pricing model. It is well known that there are other components of systematic or covariance risk that are not explained by the single-market factor. In the most general sense then, one would conclude that the truth of the return generating process is a multiple factor model, given that the process is indeed linear in the factors. Professor Stone chooses a two-factor (or index) model, in which the known factors are: (1) the return on an equity index, and (2) the return on a bond index. To this extent his interesting work is a special case of the more general work of others.

On February 1, 1971, the National Association of Security Dealers instituted an automatic quoting system for over-the-counter stocks. Heralded as a major advance in the elimination of market imperfections, the National Association of Security Dealers Automatic Quote System (NASDAQ) allowed bidand- ask prices of different firms in this geographically dispersed market to be centralized. Essentially its operation allowed individual “houses” to obtain the various bid-and-ask prices of market makers for a given unlisted security.

The FINSIM model provides a fundamental and analytical basis for security evaluation. The methodology presented includes the relevant economic and firm variables in an efficient computational scheme and is useful for:1. reducing the analysts' judgments about the future to a specific stock price (the model described does not replace the analyst, rather it provides the analyst with a vehicle to determine the implications of his critical assumptions);2. testing the probable impact of changed expectations concerning the firm and/or the level of the market on stock value;3. getting at what “the markets” expectations must be to justify the current price;4. determining the value of additional information (are results changed significantly to pay for the expense of refined estimates?);5. determining the impact of alternative growth horizons on value; and6. determining what the actual growth rate of total earnings must be to overcome the dilution effects of financing with external equity.While the security analyst still faces the problems associated with decision making under uncertainty, the methodology presented facilitates the use of sensitivity analysis to study the implications of uncertain knowledge of parameters.

Intergenerational Equity and Exhaustible Resources Get access R. M. Solow R. M. Solow Massachusetts Institute of Technology Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 41, Issue 5, December 1974, Pages 29–45, https://doi.org/10.2307/2296370 Published: 01 December 1974

Objectives of Financial Statements-the Trueblood Report, Accounting, Cooperation, Accounting problems

Much controversy surrounds the use of the portfolio investment rules induced by maximizing the expected logarithm of terminal wealth (henceforth referred to as the MEL policy). It has been thought that the MEL policy is a good approximation to the optimal investment program when the utility of terminal wealth function is bounded and when the time horizon is long. However, I exhibit a class of bounded utility of terminal wealth functions for which the MEL policy is a very poor approximation to the optimal program. Hence, the wholesale use of the MEL policy as an approximation to the optimal program is unwarranted.

M. W. Jones-Lee, A Note on a Property of the Inverse of a Bordered Matrix and Its Implication for the Theory of Portfolio Selection, The Journal of Financial and Quantitative Analysis, Vol. 9, No. 6 (Dec., 1974), pp. 1081-1087

A pairwise trading process is formulated subject to conditions of nonnegativity of traders' holdings and quid pro quo. It is shown that that: (i) There is a centralized procedure that achieves the equilibrium allocation for an arbitrary economy. (ii) It is not in general possible to find a decentralized procedure that achieves the equilibrium allocation for an arbitrary economy. (iii) In a monetary economy there is a decentralized procedure that achieves the equilibrium allocation. The usefulness of money is that it allows decentralization of the trading process.