Can We Trust Financial Analysts? Reliability of Stock Recommendations and Firm-Specific Characteristics
- Pierluigi Santosuosso
Abstract
We examine the reliability of analysts’ stock recommendations issued for Italian listed firms by exploring absolute stock returns. Research findings reveal that absolute stock returns following recommendations differ depending on whether they are positive, neutral or negative recommendations, but slightly more than fifty percent of recommendations are confirmed by absolute stock returns. On the basis of the logistic regression model, we also document that the reliability of stock recommendations is inversely connected to the uncertainty faced by investors who hold stocks in a specific firm, as suggested by the estimate of explanatory variables, such as the firm’s beta, the interest coverage ratio and cash flow volatility.- Full Text: PDF
- DOI:10.5539/ijef.v7n9p313
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- Berkeley Library
- CNKI Scholar
- COPAC
- Copyright Clearance Center
- Directory of Research Journals Indexing
- DTU Library
- EBSCOhost
- EconBiz
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Genamics JournalSeek
- GETIT@YALE (Yale University Library)
- Harvard Library
- Harvard Library E-Journals
- IBZ Online
- IDEAS
- JournalTOCs
- LOCKSS
- MIAR
- NewJour
- Norwegian Centre for Research Data (NSD)
- Open J-Gate
- PKP Open Archives Harvester
- Publons
- RePEc
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Ulrich's
- Universe Digital Library
- UoS Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Michael ZhangEditorial Assistant
- ijef@ccsenet.org