EconPapers    
Economics at your fingertips  
 

Investor expectations, earnings management, and asset prices

Kai Du

Journal of Economic Dynamics and Control, 2019, vol. 105, issue C, 134-157

Abstract: This paper examines the implications of investor expectations for the joint determination of earnings manipulation and asset prices. Three alternative models of investor expectations are studied: constant-gain learning, regime-shifting beliefs, and accounting-information-system (AIS) beliefs. I use the simulated method of moments (SMM) to estimate the most plausible model that matches the actual data. AIS beliefs and regime-shifting beliefs are shown to best explain the empirical moments of 63% and 32% of S&P 500 firms, respectively. Regression analysis suggests that the three models offer different predictions on the existence and magnitude of several empirical regularities including a positive earnings response coefficient, the discretionary accruals anomaly, and return momentum.

Keywords: Earnings management; Accruals; Investor expectations; Behavioral bias; Empirical regularities; Simulated method of moments (search for similar items in EconPapers)
JEL-codes: C73 G12 G40 M41 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165188919301034
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:105:y:2019:i:c:p:134-157

DOI: 10.1016/j.jedc.2019.06.002

Access Statistics for this article

Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok

More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:dyncon:v:105:y:2019:i:c:p:134-157