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Titel:

Earnings forecasts: the case for combining analysts’ estimates with a cross-sectional model

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Azevedo, Vitor; Bielstein, Patrick; Gerhart, Manuel
Nicht-TUM Koautoren:
ja
Kooperation:
international
Abstract:
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’ forecasts in two ways: reducing their sluggishness with respect to information in recent stock price movements and improving their long-term performance. Our model outperforms the most popular methods from the literature in terms of forecast accuracy, b...     »
Intellectual Contribution:
Discipline-based Research
Zeitschriftentitel:
Review of Quantitative Finance and Accounting
Journal gelistet in FT50 Ranking:
nein
Jahr:
2020
Volltext / DOI:
doi:10.1007/s11156-020-00902-z
WWW:
https://www.springerprofessional.de/en/earnings-forecasts-the-case-for-combining-analysts-estimates-wit/18140590
Verlag / Institution:
Springer Science and Business Media LLC
E-ISSN:
0924-865X1573-7179
Status:
Verlagsversion / published
Publikationsdatum:
01.07.2020
Urteilsbesprechung:
0
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
commissioned:
not commissioned
Technology:
Nein
Interdisziplinarität:
Nein
Leitbild:
;
Ethics und Sustainability:
Nein
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