Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90043
PIRA download icon_1.1View/Download Full Text
Title: Mispricing firm-level productivity
Authors: Ang, TC‘
Lam, FYEC
Wei, KCJ 
Issue Date: Sep-2020
Source: Journal of empirical finance, Sept. 2020, v. 58, p. 139-163
Abstract: This paper provides a mispricing-based explanation for the negative relation between firm-level productivity and stock returns. Investors appear to underprice unproductive firms and overprice productive firms. We find evidence consistent with the speculative overpricing of productive firms driven by investor sentiment and short sale constraints. Investors erroneously extrapolate past productivity growth and its associated operating performance and stock returns, despite their subsequent reversals. Such mispricing is perpetuated because of limits to arbitrage and is partially corrected around earnings announcements when investors are surprised by unexpected earnings news. Decomposition analysis indicates that extrapolative mispricing and limits to arbitrage explain most of the return predictability of firm-level productivity.
Keywords: Extrapolation
Firm-level productivity
Investor sentiment
Limits to arbitrage
Mispricing
Publisher: Elsevier
Journal: Journal of empirical finance 
ISSN: 0927-5398
DOI: 10.1016/j.jempfin.2020.05.008
Rights: © 2020 Elsevier B.V. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Ang, T. C. C., Lam, F. Y. E. C., & Wei, K. C. J. (2020). Mispricing firm-level productivity. Journal of Empirical Finance, 58, 139-163 is available at https://dx.doi.org/10.1016/j.jempfin.2020.05.008.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
JEF_Productivity_PolyU.pdfPre-Published version1.96 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

87
Last Week
0
Last month
Citations as of Apr 14, 2025

Downloads

114
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

11
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

7
Citations as of Oct 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.