Academic Journal

Overprecise forecasts.

Bibliographic Details
Title: Overprecise forecasts.
Authors: Dong, Yi1 (AUTHOR), Liu, Xuejiao2 (AUTHOR) xuejiaoliu@uibe.edu.cn, Lobo, Gerald J.3 (AUTHOR), Ni, Chenkai4 (AUTHOR) nichenkai@fudan.edu.cn
Source: Review of Accounting Studies. Mar2024, Vol. 29 Issue 1, p276-326. 51p.
Abstract: We examine the properties of overprecise forecasts, i.e., forecasts with more digits after the decimal than the mode of forecasts issued by all analysts following a given firm in a given year. Contrary to conventional wisdom, we find that overprecise forecasts are less accurate than peer forecasts. The lower accuracy is related to inexperienced analysts, who tend to overweight their models and produce more specific, yet less accurate forecasts. Additional analyses indicate that analysts issue fewer overprecise forecasts as they gain experience and that experience mitigates the negative association between forecast overprecision and forecast accuracy. Forecast overprecision is also positively associated with forecast boldness and brokerage house prestige, two proxies for analyst overconfidence in their model outputs. We further document that the capital market partially sees through this inaccuracy, as stock prices react less to overprecise forecast revisions. By revealing a novel behavioral bias of sell-side analysts, our study challenges the view that form precision signals greater accuracy and informativeness. [ABSTRACT FROM AUTHOR]
Subject Terms: *Stockbrokers, *Financial market reaction, *Forecasting, *Securities analysts, *Capital market
Copyright of Review of Accounting Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
ISSN: 13806653
DOI: 10.1007/s11142-022-09724-x
Database: Business Source Complete
Full text is not displayed to guests.