The prominence of behavioural biases in analysts' earnings forecast accuracy Online publication date: Tue, 18-Apr-2023
by Semra Bank; Duygu Arslantürk Çöllü
J. for International Business and Entrepreneurship Development (JIBED), Vol. 14, No. 4, 2022
Abstract: Some studies in the relevant literature imply that financial analysts' earnings forecasts are biased. To further investigate these prior results, this study aims to list and prioritise three groups of factors and sub-factors in each factor group that have an effect on analysts' earnings forecast accuracy. In line with this aim, this study uses a combined DEMATEL-ANP hybrid model. The results reveal that optimism and herding behaviour have greater prominence than others among a list of factors affecting financial analysts' earnings forecast accuracy. In turn, this result confirms the irrationality of financial analysts in their earnings forecasts.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the J. for International Business and Entrepreneurship Development (JIBED):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com