Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Manuel Gerhart"'
Publikováno v:
Review of Quantitative Finance and Accounting. 56:545-579
We propose a novel method to forecast corporate earnings, which combines the accuracy of analysts’ forecasts with the unbiasedness of a cross-sectional model. We build on recent insights from the earnings forecasts literature to improve analysts’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a21baa606dba13d18cc2889478a6464
https://doi.org/10.1007/s11156-020-00902-z
https://doi.org/10.1007/s11156-020-00902-z
Publikováno v:
SSRN Electronic Journal.
We propose a novel method to forecast corporate earnings, which combines the accuracy of analysts' forecasts with the unbiasedness of a cross-sectional model. We build on recent insights from the earnings forecasts literature to improve analysts' for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac96766f45588823fd6cbc7156f59ffb
https://doi.org/10.2139/ssrn.2988831
https://doi.org/10.2139/ssrn.2988831
Autor:
Manuel Gerhart, Vitor G. Azevedo
Publikováno v:
SSRN Electronic Journal.
This paper aims to compare the cross-sectional models of earnings forecasts to the analysts’ earnings forecasts in the European markets. We introduce the models of Fama and French (2006), Novy-Marx (2013), and Hou et al. (2012). The target of the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a1fe38ebbf16120d90b5daa37eea66
https://doi.org/10.2139/ssrn.2787277
https://doi.org/10.2139/ssrn.2787277