Predictive Ability and Descriptive Validity of Earnings Forecasting Models
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Alberto Fuertes & Simón Sosvilla-Rivero, 2019. "“Forecasting emerging market currencies: Are inflation expectations useful?”," IREA Working Papers 201918, University of Barcelona, Research Institute of Applied Economics, revised Oct 2019.
- Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
- Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018.
"Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters,"
Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
- María del Carmen Ramos-Herrera & Simón Sosvilla-Rivero, 2017. "Inflation, real economic growth and unemployment expectations: An empirical analysis based on the ECB Survey of Professional Forecasters," Working Papers 17-02, Asociación Española de Economía y Finanzas Internacionales.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jfinan:v:35:y:1980:i:4:p:933-49. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afaaaea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.