The role of asset payouts in the estimation of default barriers
Alexandros Bougias, 
Athanasios Episcopos and 
George Leledakis
International Review of Financial Analysis, 2022, vol. 81, issue C
Abstract:
In the barrier option model of corporate security valuation, the firm’s creditors impose a default-triggering barrier on the firm value to protect their claim. Two disputed issues in the literature are whether the implied default barrier is positive, and whether it is above or below the book value of the firm’s liabilities. We extend the model of Brockman and Turtle (2003) by embedding asset payouts in the valuation of shareholders’ equity. Using a sample of US stocks from the NYSE, AMEX, and NASDAQ exchanges, our paper exploits market and firm information to compute the implied default barrier for thirty 2-digit SIC groups, including industrials and banks. Our results show that the implied default barrier is lower than it is in the received literature, and it can be less than total liabilities, even zero for some firms. The implied physical default probabilities are significantly lower in the presence of payouts, providing a closer fit to the historical corporate default rates, particularly for issuers of speculative-grade bonds.
Keywords: Contingent claims; Barrier option; Issuer credit ratings; Default barrier; Asset payouts (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc 
Citations: View citations in EconPapers (1) 
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S105752192200062X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: The role of asset payouts in the estimation of default barriers (2022) 
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:finana:v:81:y:2022:i:c:s105752192200062x
DOI: 10.1016/j.irfa.2022.102091
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis  from  Elsevier
Bibliographic data for series maintained by Catherine Liu ().