Prepayment risk on callable bonds: theory and test
Pascal François () and
Sophie Pardo
Decisions in Economics and Finance, 2015, vol. 38, issue 2, 147-176
Abstract:
We develop a framework for analyzing prepayment risk on defaultable callable bonds. We argue that prepayment risk emanates from the following informational asymmetry: Callable bond traders cannot determine the issuer’s firm value-maximizing call policy, and their best anticipation is the optimal refinancing policy given by a term structure model. We show that, from the callable bond holder perspective, the issuer’s departure from the optimal refinancing policy translates into an accrued exposure to market risk. The prepayment risk magnitude represents this risk transfer, and we show that callable bond traders can infer it from observable bond characteristics. Tests on callable bond transaction data provide strong evidence for prepayment risk and validate our conjecture that insurance companies trade callable bonds to reduce their exposure to prepayment risk magnitude. Copyright Springer-Verlag Italia 2015
Keywords: Callable bonds; Prepayment risk; Asset–liability management; Bond risk management; G13; G21 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s10203-015-0162-0 (text/html)
Access to full text is restricted to subscribers.
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:spr:decfin:v:38:y:2015:i:2:p:147-176
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10203/PS2
DOI: 10.1007/s10203-015-0162-0
Access Statistics for this article
Decisions in Economics and Finance is currently edited by Paolo Ghirardato
More articles in Decisions in Economics and Finance from Springer, Associazione per la Matematica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().