Zobrazeno 1 - 6
of 6
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’
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
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
Autor:
UHL, DIETER1,2,3, HAVLIK, PHILIPE4,5,6 philipe.havlik@senckenberg.de
Publikováno v:
Biologie in unserer Zeit. 2021, Vol. 51 Issue 3, p238-245. 8p.
Autor:
Azevedo, Vitor1 (AUTHOR) vitor.azevedo@tum.de, Bielstein, Patrick2 (AUTHOR), Gerhart, Manuel3 (AUTHOR)
Publikováno v:
Review of Quantitative Finance & Accounting. 2021, Vol. 56 Issue 2, p545-579. 35p.
Autor:
Nikolay Draganov
Master's Thesis from the year 2021 in the subject Business economics - Accounting and Taxes, grade: 1,0, University of Cologne, language: English, abstract: The primary aim of this study is to empirically examine the relative ability of accounting ea