The purpose of this note is to present a simple computational algorithm to approximate the E, S portfolio selection model. The essential feature of the model is the utilization of the familiar linear programming framework by representing risks as a series of linear constraints. Suppose we have m states and n securities, and we assume the investor is able to specify the contingent returns for all securities in each state. Following [7], we define risk as being the downside deviation from the investor's target rate of return.

IN making dividend decisions, the firm determines the division of earnings between reinvestment and distribution to stockholders. There are two general issues in the area of dividend policy: The first concerns the determinants of the firm's payout ratio (the ratio of dividends to earnings). The second issue concerns the intertemporal change of dividends. The focus of this paper is on the second issue. There are two prevailing views on the behavior of corporate dividend policies over time; the informational content and the partial adjustment hypothesis. In the following sections, both hypotheses are shown leading to empirically equivalent expressions. To avoid this confusion, we suggest an approach that would differentiate between the two hypotheses. Empirical results analyzing dividends behavior of twenty broad industry categories are summarized.

James S. Ang, Kiritkumar A. Patel, Bond Rating Methods: Comparison and Validation, The Journal of Finance, Vol. 30, No. 2, Papers and Proceedings of the Thirty-Third Annual Meeting of the American Finance Association, San Francisco, California, December 28-30, 1974 (May, 1975), pp. 631-640