A stochastic model of superstardom: evidence from institutional investor's All‐American Research Team
Raymond Cox and
Robert T. Kleiman
Review of Financial Economics, 2000, vol. 9, issue 1, 43-53
Abstract:
In this paper, we investigate the superstar phenomenon in the security analysis industry through an analysis of the probabilistic mechanism by which security analysts are selected for inclusion in Institutional Investor's All‐American Research Team (II AART). Specifically, we examine whether the statistical distribution of the number of first team appearances by security analysts conforms to the Yule distribution, which implies that luck rather than differential talent explains success. This is an important issue since an analyst's position on the AART is an important determinant of the individual's pay and reputation. Our research results reject the Yule distribution. Thus, consistent with previous empirical studies by Stickel [Stickel, S. E. (1992). Reputation and performance among security analysis. J Finance 47, 1811–1836; Stickel, S. E. (1995). The anatomy of the performance of buy/sell recommendations. Financ Anal J 51, 25–39] and Brown and Chen [Brown, L. D., & Chen, D.M. (1991). How good is the All‐American Research Team in forecasting earnings. J Bus Forecast 9, 14–18], we find that selection to the AART can be attributed to skill rather than luck.
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1016/S1058-3300(00)00016-1
Related works:
Journal Article: A stochastic model of superstardom: evidence from institutional investor's All-American Research Team (2000) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:revfec:v:9:y:2000:i:1:p:43-53
Access Statistics for this article
More articles in Review of Financial Economics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().