Identifying Factors Consistently Related to Value Line Earnings Predictability

Suzanne M. Luttman, Peter A. Silhan

Research output: Contribution to journalArticle

Abstract

Earnings predictability can affect investment decisions and stock prices. An important source of earnings forecasts for a wide variety of empirical studies has been the Value Line Investment Survey. The purpose of this study is to identify factors that consistently account for cross‐sectional differences in Value Line earnings predict‐ability. A multivariate model consisting of four company variables and a set of industry indicator variables is used to evaluate the intertemporal consistency of factors related to earnings predictability. Quarterly and annual forecasts are used to measure earnings forecast accuracy. The results by year indicate that one factor, earnings variability, is consistently related to earnings predict‐ability.

Original languageEnglish (US)
Pages (from-to)445-468
Number of pages24
JournalFinancial Review
Volume30
Issue number3
DOIs
StatePublished - Aug 1995

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Factors
Earnings predictability
Earnings forecasts
Empirical study
Investment decision
Forecast accuracy
Multivariate models
Industry
Stock prices

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

Cite this

Identifying Factors Consistently Related to Value Line Earnings Predictability. / Luttman, Suzanne M.; Silhan, Peter A.

In: Financial Review, Vol. 30, No. 3, 08.1995, p. 445-468.

Research output: Contribution to journalArticle

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