Reporting bias in incomplete information model
Maurice Peat,
Jiri Svec and
Jue Wang
Economics Letters, 2014, vol. 123, issue 1, 45-49
Abstract:
Company financial reports are likely to be systematically biased. In this paper, we extend the Duffie and Lando (2001) model with a skewness correction which can account for both random and directional components of reporting noise.
Keywords: Credit risk; Incomplete information; Reporting bias; Skew normal (search for similar items in EconPapers)
JEL-codes: D82 G13 G33 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176514000299
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:ecolet:v:123:y:2014:i:1:p:45-49
DOI: 10.1016/j.econlet.2014.01.021
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).