A Re-Examination of Financial Analysts' Differential Earnings Forecast Accuracy*

Abstract. This research re-examines whether there are differences in the forecast accuracy of financial analysts through a comparison of their annual earnings per share forecasts. The comparison of analyst forecast accuracy is made on both an ex post (within sample) and an ex ante (out of sample) basis. Early examinations of this issue by Richards (1976), Brown and Rozeff (1980), O'Brien (1987), Coggin and Hunter (1989), O'Brien (1990), and Butler and Lang (1991) were ex post and suggest the absence of analysts who can provide relatively more accurate forecasts over multiple years. Contrary to the results of prior research and consistent with the belief in the popular press, we document that differences do exist in financial analysts' ex post forecast accuracy. We show that the previous studies failed to find differences in forecast accuracy due to inadequate (or no) control for differences in the recency of forecasts issued by the analysts. It has been well documented in the literature that forecast recency is positively related to forecast accuracy (Crichfield, Dyckman, and Lakonishok 1978; O'Brien 1988; Brown 1991). Thus, failure to control for forecast recency may reduce the power of tests, making it difficult to reject the null hypothesis of no differences in forecast accuracy even if they do exist. In our analysis, we control for the differences in recency of analysts' forecasts using two different approaches. First, we use an estimated generalized least squares estimation procedure that captures the recency-induced effects in the residuals of the model. Second, we use a matched-pair design whereby we measure the relative forecast accuracy of an analyst by comparing his/her forecast error to the forecast error of another randomly selected analyst making forecasts for the same firm in the same year on or around the same date. Using both approaches, we find that differential forecast accuracy does exist amongst analysts, especially in samples with minimum forecast horizons of five and 60 trading days. We show that these differences are not attributable to differences in the forecast issuance frequency of the financial analysts. In sum, after controlling for firm, year, forecast recency, and forecast issuance frequency of individual analysts, the analyst effect persists. To validate our findings, we examine whether the differences in the forecast accuracy of financial analysts persist in holdout periods. Analysts were assigned a “superior” (“inferior”) status for a firm-year in the estimation sample using percentile rankings on the distribution of absolute forecast errors for that firm-year. We use estimation samples of one- to four-year duration, and consider two different definitions of analyst forecast superiority. Analysts were classified as firm-specific “superior” if they maintained a “superior” status in every year of the estimation sample. Furthermore, they were classified as industry-specific “superior” if they were deemed firm-specific “superior” with respect to at least two firms and firm-specific “inferior” with respect to no firm in that industry. Using either definition, we find that analysts classified as “superior” in estimation samples generally remain superior in holdout periods. In contrast, we find that analysts identified as “inferior” in estimation samples do not remain inferior in holdout periods. Our results suggest that some analysts' earnings forecasts should be weighted higher than others when formulating composite earnings expectations. This suggestion is predicated on the assumption that capital markets distinguish between analysts who are ex ante superior, and that they utilize this information when formulating stock prices. Our study provides an ex ante framework for identifying those analysts who appear to be superior. When constructing weighted forecasts, a one-year estimation period should be used because we obtain the strongest results of persistence in this case.     

The dynamics of economic systems,or how to transform a failed socialist economy

How to transform a failed socialist economy raises questions about the processes of structural and institutional changes, which standard economics is inadequately equipped to study. An economic theory that can study both these processes is suggested and applied to the actual debate of how the transformation should be conducted. Standard notions of institutional roles (R) and organizational structures (S) are seen in a non-standard way as outcomes of two interrelated but distinct evolutions. Comparing different given Rs for their influence on S-evolution throws new light on which R should be the target of the transformation. Compared to standard analysis, the case against socialism on the supply side is strengthened, whereas the case against a redistributive welfare society on the demand side is weakened. S-evolution is shown to require more time and be more difficult to be helped by government than R-evolution. This clarifies several controversial points about the speed and the sequencing of the transformation policies. The study of R-evolution discloses an important cognitive constraint on these policies, which teaching of economics can help to soften. Standard economics, shown to be a special case of the suggested theory, is rehabilitated as the best subject by which such teaching should start.     

An exploratory study of exclusive dealing in channel relationships

The channel literature has paid little attention to issues related to exclusive dealing governance arrangements. Consequently, there is only limited knowledge about how exclusive dealing impacts various channel processes and outcomes. This gap is especially regrettable since exclusive dealing, in addition to being one of the most commonplace governance formats within the distribution channels, is also one of the best exemplars of viable unilateral governance formats. In this initial investigation, the authors explore the linkages among the constructs of exclusive dealing, relationalism, communication, and performance. Empirical data for the study were drawn from the photocopier industry. He obtained his M.B.A. and D.B.A. degrees from Boston University. His primary research interest includes channels of distribution, franchisor-franchisee relationships, and consumer purchase behavior in international contexts. He has published articles inJournal of Marketing Channels and the proceedings of several marketing conferences. This article was crafted when Rajiv Dant was at Boston University. He received his M.B.A. from Bombay University and his Ph.D. from Virginia Polytechnic Institute and State University. His research focuses on channels of distribution, with primary emphasis on franchise structure, franchisee-franchisor relationships, and public policy aspects of franchising growth and ownership topics. His research has been published inJournal of Marketing, Journal of Public Policy & Marketing, Research in Marketing, Journal of Retailing, Journal of Business Research, Journal of Business Venturing, Journal of the Operations Research Society, Marketing Letters, Journal of Small Business Management, Journal of Economic Psychology, Southern Business & Economics Journal, Philosophical and Radical Thought in Marketing, Journal of Healthcare Marketing, Journal of Marketing Channels, andInternational Small Business Journal.     

The Distribution of Multifamily Mortgage Originations: What We Know and Why We Care

Three policy-relevant questions about multifamily mortgage originations (MFOs) are addressed. First, what is the annual volume of MFOs? This analysis highlights differences and problems among three publicly available multifamily lending surveys; the 1993 volume is estimated at $30 billion. Second, what is the size distribution of multifamily mortgages? Using kernel density estimation, variation in this distribution among central cities and suburbs, underserved areas, and lender type is examined. Third, what are the primary determinants of the variation in multifamily lending? A relatively simple regression model is estimated to shed light on the variables most highly correlated with multifamily lending. Tract income relative to MSA median income and minority concentrations are shown to be highly correlated with lending volume, but the largest source of variation is the number of multifamily rental units in the tract.     

Low Income Dynamics in 1990s Britain

This paper analyses low income dynamics in Britain using the first four waves of the British Household Panel Survey. There is much low income turnover: although there is a small group of people who are persistently poor, more striking is the relatively large number of low income escapers and entrants from one year to the next. Simulations using estimated low income exit and re-entry rates demonstrate the importance of repeated low income spells for explaining a person's experience of low income over a given period. We also document the characteristics of low income stayers, escapers and entrants.     

Squatting as a transition problem in South Africa

This paper applies principles of transition to land tenure and squatting in South Africa. Political transition in South Africa reassigned political property rights, which produced contestable, and rent‐seeking incentives for squatting as a means to privatize land and redistribute wealth. Government failure to establish and protect private property rights in a squatter camp resulted in common‐pool problems that resisted private and public resolution with consequent rent dissipation and social loss. In response to this retreat from duty, informal agents emerged to claim their own share of the prize. Without enforceable rules of capture, the growth of squatter camps in South Africa will continue. JEL classification: D7, H8, K1, K4, R1, R4.     

The Economic Benefits of Australian University Degrees: Bachelor and Research Higher Degrees

The investment in Australian bachelor and research degrees results in significant economic benefits for the individual and for society.     

Economic design of one-sided screening procedures based on a correlated variable with all parameters unknown

Summary Economic design of one-sided screening procedures for improving outgoing product quality based on a screening variable is considered for the case with all parameters unknown. It is assumed that the performance and screening variables are jointly normally distributed and that costs are incurred by screening inspection, acceptance of an imperfect item, and disposition of a rejected one. A method for finding optimal cutoff value based on the predictive distribution is presented.