Capacity of Future Earnings´ Prediction of EVA® in the Brazilian Public Companies
- Andrei Albuquerque
- Mauricio Valle
Abstract
This article aimed to verify empirically whether EVA® provides incremental information for the future profit forecast of Brazilian publicly-traded companies. We used the technique of multiple linear regression with panel data unlike previous studies which using cross-sectional regressions. The results obtained allow rejecting the hypothesis that EVA® provides incrementally useful information to profit forecast of Brazilian publicly-traded companies. In this work only the variables level of cash flow and accruals level showed statistical significance in the regression model. Furthermore, both represent the dismemberment of earnings per share (EPS) therefore, the results demonstrate that only the EPS is a relevant indicator to the future profit forecast.
- Full Text: PDF
- DOI:10.5539/ibr.v8n1p38
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org