EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"grade normalization"
Narrow search

Narrow search

Year of publication
Subject
All
Anlageberatung 1 Anlageverhalten 1 Behavioural finance 1 Börsenkurs 1 Capital income 1 Emotion 1 Financial advisors 1 Financial analysis 1 Finanzanalyse 1 Forecasting model 1 Gewinn 1 Kapitaleinkommen 1 Portfolio selection 1 Portfolio-Management 1 Profit 1 Profitability 1 Prognoseverfahren 1 Rentabilität 1 Share price 1 analyst recommendations 1 grade normalization 1 momentum strategies 1 ordinal classification 1 return prediction 1 sentiment analysis 1
more ... less ...
Online availability
All
CC license 1 Free 1
Type of publication
All
Article 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 1
Author
All
Alaghband, Gita 1 McCarthy, Shawn 1
Published in...
All
International Journal of Financial Studies : open access journal 1
Source
All
ECONIS (ZBW) 1
Showing 1 - 1 of 1
Cover Image
A momentum-based normalization framework for generating profitable analyst sentiment signals
McCarthy, Shawn; Alaghband, Gita - In: International Journal of Financial Studies : open … 14 (2026) 1, pp. 1-34
The diverse rating scales used by brokerage firms pose significant challenges for aggregating analyst recommendations in financial research. We develop a momentum-based normalization framework that transforms heterogeneous rating changes into standardized sentiment signals using firm-relative,...
Persistent link: https://www.econbiz.de/10015591134
Saved in:
A service of the
zbw
FAQ-Assistent (beta)
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...