Commercial banks have been the subjects of a large body of empirical research employing regression and econometric models and discriminant analysis. The purpose of this paper is to empirically identify and describe relationships, including hedging behavior, between the asset side and the liability/capital side of the balance sheets of a cross-section of large U.S. banks. Canonical correlation analysis is the statistical technique that is employed. Unlike regression analysis which explains the behavior of a single dependent variable as a function of a set of independent variables, canonical correlation analysis relates two sets of variables. In the present case, one set of variables is the composition of the lefthand side of the balance sheet and the other set is the right-hand side. The variables used in this study are asset and liability/capital categories expressed as a proportion of total bank assets (i.e., a percentage breakdown of the balance sheet or a common size statement). These proportions are used in lieu of the more usual financial ratios and no information exogenous to the bank is employed.

There are two well-known distinct aspects to the behavior of a risk-averse individual towards a risky proposition: the position he takes, long or short, with regard to the gamble, and the scale of the position taken–the amount by which he goes long or short. On one hand, the first aspect depends only on the individual's assessment of the expected return from the gamble relative to a safe return. The second aspect, on the other hand, will be influenced by the individual's degree of risk aversion and the level of risk of the gamble.

This paper examines the security market response to the announcement of sell‐side analysts' decisions to initiate coverage of a firm. We examine the market reaction to the initiation announcement and the accompanying investment recommendation, by disaggregating our sample based on existing analyst coverage at the announcement date. We find, on average, a significantly larger, positive stock price reaction to buy recommendations conveyed in announcements of coverage initiation for firms with a small existing analyst following compared to such announcements for firms receiving no prior analyst coverage. Tests show that the relation between the extent of preexisting analyst coverage and market response is nonlinear and concave down in shape. Specifically we find that lightly followed firms, on average, experience larger price reactions to announcements of coverage initiations than either previously uncovered firms or more heavily followed firms. We test for and find that this result holds over a range of definitions of light coverage and is not attributable to the presence of an underwriting relationship existing between the analyst's employer and the firm receiving coverage. We do find that initiations by analysts named to Institutional Investor magazine's “All‐American Research Team” produce a significantly larger market reaction than do initiations by non‐All‐American security analysts. In addition, similar to the market response associated with other types of information events, we observe that proxies for the richness of the initiated firms' preannouncement information environment are associated with event‐day average abnormal returns.

We construct a tractable, flexible-functional-form estimator of cumulative distribution functions for non-negative random variables which admits large numbers of covariates. The estimator adopts and extends techniques from the spell-duration literature for estimating hazard functions to distribution functions for wages, earnings, and income. We apply these methods to investigate sources of wage inequality for full-time male workers between Canada and the United States, finding that the Canadian wage density has a thinner left tail because low-educated workers have higher pay and a thinner right tail because of a lower proportion of highly-educated workers. Unions appear to play a large role in these outcomes.

Journal Article Equity, Efficiency and Increasing Returns Get access Donald J. Brown, Donald J. Brown Cowles Foundation for Research in Economics at Yale University Search for other works by this author on: Oxford Academic Google Scholar Geoffrey Heal Geoffrey Heal University of Sussex Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 46, Issue 4, October 1979, Pages 571–585, https://doi.org/10.2307/2297028 Published: 01 October 1979 Article history Received: 01 July 1978 Accepted: 01 January 1979 Published: 01 October 1979