City Research Online

Abstract

Purpose – The study evaluates the earnings forecasting models of Hou et al. (J Account Econ, 53:504-526, 2012) and Li and Mohanram (Rev Account Stud, 19:1152-1185, 2014) in terms of bias and accuracy and validity of the implied cost of capital (ICC) estimates for a sample of IPOs.

Design/methodology/approach – The authors use a sample of 1,657 NYSE, Amex and Nasdaq IPOs from 1972 to 2013.
Findings – The models of Hou et al. and Li and Mohanram produce relatively inaccurate and biased earnings forecasts, leading to unreliable ICC estimates, particularly for small and loss-making IPOs that constitute the bulk of new listings. As a remedy, we propose a new earnings forecasting model, a combination of Hou et al.’s and Li and Mohanram’s EP models, and show that it produces more accurate and less biased earnings forecasts and more valid ICC estimates.

Originality/value – The study contributes novel results to the literature on the validity of cross-sectional earnings models in forecasting IPO firm earnings and estimating the ICC. The findings are directly relevant for practitioners, who can improve their earnings forecasting accuracy for IPO firms and related ICC estimates. The insights can be extended to other settings where investors have limited access to financial information, such as acquisitions of private targets

Publication Type:	Article
Additional Information:	This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.
Publisher Keywords:	Cost of equity; Cross-sectional earnings models; Implied cost of capital; IPOs
Subjects:	H Social Sciences > HF Commerce > HF5601 Accounting H Social Sciences > HG Finance
Departments:	Bayes Business School > Finance
SWORD Depositor:	Symplectic Administrator

Export

Downloads