Firm Credit Ratings and Financial Analyst Forecast Performance

Autor:	Nathan H. Jeppson, Matthew C. Geiszler, David F. Salerno
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	credit ratings earnings forecasts forecast accuracy earnings quality financial analysts Business HF5001-6182
Zdroj:	Economic and Business Review, Vol 20, Iss 3 (2018)
Druh dokumentu:	article
ISSN:	1580-0466 2335-4216
DOI:	10.15458/85451.69
Popis:	This study examines the relationship between firms’ credit ratings and financial analyst earnings forecast performance. We hypothesize and find that high firm credit ratings, which represent low task complexity and low solvency risk, are associated with less dispersion and more accurate earnings forecasts, while low credit ratings are associated with more dispersion and less forecast accuracy. The results of this study are useful to market participants by revealing the increased (decreased) value of information contained in financial analysts’ forecasts when firms have received high (low) credit ratings.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/3d09ae0fe8ea42549b26b1d256199fef Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF