FIRM CHARACTERISTICS AND ANALYST FOLLOWING IN THE UK

Bhushan (1989) proposed a model of analyst following, which he tested for US companies in 1985. The model was successful, in that the eight variables considered likely to influence analyst following were found to be significant in the regression model used, and an adjusted R²of 70% was achieved. The aim of this paper is to adapt his model and test it for UK companies using survey and other data from 1991. Bhushan found that the level of analyst following for a firm was positively associated with level of institutional investment, variability of returns, the correlation between the firm return and the market return and firm size. There was a negative association with the level of insider shareholdings and industrial diversification. The industrial category of the firm also was significant. This study shows similar results using data on analyst following of UK quoted companies, although industrial diversification does not appear to be an important factor in the UK, and the overall explanatory power of the model is lower than in Bhushan's study. An additional variable, the number of overseas listings, was found to add to the explanatory power of the model.     

Competing for Securities Underwriting Mandates: Banking Relationships and Analyst Recommendations

We investigate whether analyst behavior influenced banks' likelihood of winning underwriting mandates for a sample of 16,625 U.S. debt and equity offerings in 1993–2002. We control for the strength of the issuer's investment banking relationships with potential competitors for the mandate, prior lending relationships, and the endogeneity of analyst behavior and the bank's decision to provide analyst coverage. Although analyst behavior was influenced by economic incentives, we find no evidence that aggressive analyst behavior increased their bank's probability of winning an underwriting mandate. The main determinant of the lead‐bank choice is the strength of prior underwriting and lending relationships.     

Rewriting History

We document widespread changes to the historical I/B/E/S analyst stock recommendations database. Across seven I/B/E/S downloads, obtained between 2000 and 2007, we find that between 6,580 (1.6%) and 97,582 (21.7%) of matched observations are different from one download to the next. The changes include alterations of recommendations, additions and deletions of records, and removal of analyst names. These changes are nonrandom, clustering by analyst reputation, broker size and status, and recommendation boldness, and affect trading signal classifications and back-tests of three stylized facts: profitability of trading signals, profitability of consensus recommendation changes, and persistence in individual analyst stock-picking ability.     

VOLUNTARY DISCLOSURE OF ACCOUNTING RATIOS IN THE UK

This paper investigates whether the voluntary disclosure of ratios in corporate annual reports can be explained by agency and signalling theory. The two theories are discussed and the applicability to explaining ratio disclosures considered. Drawing on agency and signalling theory, seven hypotheses are tested using data collected over five years, for 313 UK companies. More specifically, associations are considered between ratio disclosure and the following characteristics: company profitability; return on investment; gearing; liquidity; company efficiency; size and industry. The paper finds some evidence of an association between ratio disclosure and company performance, size and industry. The implications of these findings are considered and areas of further research discussed.     

WELFARE REFORM, EARNINGS, AND INCOMES: NEW EVIDENCE FROM THE SURVEY OF PROGRAM DYNAMICS

The authors ask how welfare reform has affected the earnings and incomes of welfare recipients using a detailed longitudinal data set, the recently released Survey of Program Dynamics (SPD). They find pre-TANF waivers positively affected the earnings and incomes of both female high school graduates and nongraduates, but the effect is statistically significant only for nongraduates. In contrast, the effect of TANF policies is detrimental to nongraduates but improves economic outcomes for graduates. The findings indicate there are still families who are left behind by welfare programs. The results also warrant further use of longitudinal data sets such as the SPD. (JEL I38 , H53 )