Several studies have investigated the reaction of the stock market to a firm's changing its method of accounting for external reporting purposes. By contrast, this study investigates the reaction of proper subsets of the stock market to changes in accounting methods–specifically, the reaction of the set of investors in the common stock of the firm which has changed its accounting measurement rules.

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This paper presented a stochastic discounted cash flow model with which mortgage companies can assess the value of a mortgage servicing contract. The model was illustrated with data provided by a group of eight MBC's. Simulation and sensitivity analysis showed the impact of different mortgage amounts, termination distributions, and expected rates of servicing cost increases on the value of a mortgage servicing portfolio. In general, because servicing contracts are long-term fixed revenue arrangements, high rates of servicing cost increases substantially reduce the value of an MBC's servicing portfolio. To the extent that mortgage prepayments are reduced by high inflation rates, the impact of high cost increases on the value of a servicing portfolio is compounded.

To discuss what's right and wrong with the teaching of contemporary money-andbanking courses, we must first distinguish the various species of courses that fall under the M&B genus. In economics departments, the undergraduate M&B course is conceived prototypically in either of two ways: (1) as a basic macroeconomics course, including in principle (though often not in practice) an introductory swipe at international finance, or (2) as a policy course focusing on the art of central banking, including an obligatory introduction to opportunities for intervention in foreign-exchange markets. For convenience, let's call these alternative course conceptions (M&B)1 and (M&B)2, respectively. In business-school finance departments, M&B courses seek primarily to explain how contemporary financial markets and institutions work. These courses develop analytical descriptions of different types of financial transactions, instruments, transactors (with special emphasis on the roles played by intermediaries, dealers, and brokers), and contract terms (with special focus on implicit and explicit yields). Whereas MBA-level offerings are of negligible importance to the typical economics department, they represent a sizeable portion of the finance-department M&B market. Undergraduate M&B courses in finance departments–(M&B)3–differ from MBA-level ones–(M&B)–in assuming that students possess little background or interest in macroeconomic theory per se. (M&B)4 courses shape up as a linear combination of (M&B)3 and either or both (M&B)1 and (M&B)2.

In recent years a number of papers have been concerned with the determination of necessary and sufficient conditions for portfolio separation and for myopia. As a result of these earlier investigations, it is known that a necessary and sufficient condition both for portfolio separation and for myopia is that the investor's utility function exhibit risk tolerance, that is a linear function of wealth. What is lacking in the existing literature is a clear demonstration of the economic relevance of linear risk tolerance for portfolio separation and myopia. It is hoped that this paper will help to fill the gap by an analysis of separation and myopia using the standard tools of price theory: indifference curves, budget lines, and Engel curves. Viewed in this perspective, a substantial part of the analysis can be amplified and clarified in terms of the geometry of the situation.

Multiasset portfolio selection models stated in terms of the expected utility criterion generally require the evaluation of multiple integrals. This reality has severely hindered attempts towards the development of computation methods to determine optimal portfolio allocations when there are a large number of assets. Aside from special cases, expected utility is not convergent into a simple closed form; the complexity from the point of view of computation is then perhaps most easily appreciated if one realizes that every iteration in a nonlinear program demands the estimation of several integrals (see Ziemba [23] for details). Such calculations are extremely costly when the number of assets is large. It is, consequently, of interest to approximate the expected utility function by a function which is easier to optimize over the set of feasible portfolios.

The analysis has shown that insurer investment performance parallels that of other investors; greater returns are associated with greater variability. However, with the acquisition of higher levels of investment risk insurers generally reduce the level of underwriting risk which is undertaken. Thus, insurer management apparently attempts to keep ruin probabilities within some undefinable but clearly present limits. In the process of trading off between investment and underwriting risk, a higher rate of return to net worth is sacrificed. The sacrifice of potentially higher rates of return to equity, however, does not place the insurer at a disadvantage relative to the capital market or make attractive the alternative of operating as an investment trust. Under reasonable conditions governing the risk and return associated with underwriting activities, the insurer return to net worth is in a more efficient position as the result of underwriting activities than that offered by the capital market alone. For a given risk position, the return to the insurer exceeds that available from the capital market alone. Thus, so long as marginal returns to underwriting are positive, the leveraging afforded by the expansion of premium volume produces a superior return over the traditional leveraging which might be employed by an investor in the capital market.