On November 17, 1988, the board of directors of Nestlé AG decided to allow foreign investors to hold Nestlé registered stock, reversing a longstanding practice. This decision had a tremendous impact on the prices of the firm's three classes of common stock, as well as on the prices of several other corporations traded on the Zürich stock exchange. These price changes can be explained by the hypothesis that demand curves slope down.

Turner Broadcasting illustrates how organizational mechanisms can be adapted to prevent a majority owner from imposing costs on minority shareholders through inept management or opportunistic behavior. These mechanisms involve issuing preferred stock with unusual features, concentrating its ownership among a small group of investors, allowing the new preferred shareholders to elect several directors, and requiring supramajority approval of major management decisions by a reconstituted board of directors. The alienability of the preferred stock is restricted to help insure that its ownership stays concentrated and in the hands of those with the specific knowledge and incentives to be effective monitors.

In a multivariate regression model relating individual returns to the market return, CAPM implies non-linear restrictions on the parameters. Several asymptotically valid tests of these restrictions have been suggested. The existing Monte Carlo evidence shows that some of these tests are unreliable for reasonable sample sizes, but does not indicate well which tests are reliable. This paper reports the results of an extensive Monte Carlo experiment. Shanken's CSR test and Jobson and Korkie's corrected likelihood ratio test are quite accurate in all cases we consider.

One hesitates to write history as it happens, or to draw policy lessons from current events. The conference took place in May 2008 - after the government-assisted takeover of Bear Stearns but before a capital market downturn fueled a system-wide liquidity crisis, with successive insolvencies at IndyMac, Fannie Mae, Freddie Mac, Lehman, AIG, WaMu, and, as I write, Citigroup. But it would be odd to comment on capital market regulation without mentioning the events of the last three months. I am first to acknowledge that anything I might have written in May would not have foreseen the crisis or linked capital market regulation to financial institutions, which in the US have been conventionally treated as discrete in discourse and institutions (e.g., U.S. Treasury 2008; Leuz and Wysocki 2008).

The purpose of this paper is to investigate whether financial analysts with superior earnings forecasting ability can be distinguished on the basis of ex post forecast accuracy. I explore the question by estimating and comparing average accuracy across individuals, and by considering whether the observed distribution of analyst forecast accuracies differs from the distribution expected if their relative performances each year were purely random. Overall, I do not find systematic differences in forecast accuracy across individuals. Financial press coverage suggests there are superior financial analysts. For example, Institutional Investor's annual All American Research Team includes analysts rated by money managers as superior on a variety of criteria, including earnings forecasting, ability to pick stocks, and the quality of written reports. Clearly, financial analyst services other than forecast accuracy are valued by their clients. I focus on only one activity, earnings forecasting, for two reasons. First, forecast data are available, quantitative, and can be evaluated against observable earnings outcomes. Services such as insightful, well-written research reports are harder to evaluate quantitatively. Second, academic use of analyst forecasts as earnings expectations data in capital markets empir-

Auditing, Extrapolation, Time-series, Cost variance

Prediction, Decision making, Sequential patters, Time-series

Ian R. C. Eggleton, [Discussion of Patterns, Prototypes, and Predictions: An Exploratory Study]: A Reply, Journal of Accounting Research, Vol. 14, Studies on Human Information Processing in Accounting (1976), pp. 145-158