Estimating Credit Risk Premia

This paper investigates the nature of the credit risk premium adjustments in the Jarrow-Lando-Turnbull model of credit risk spreads. The adjustments relate the equivalent martingale measures to the empirical measures of unconditional transition probabilities. We provide a modi ed version of the risk...

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Main Author: Lim, Kian Guan
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Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/1909
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2908/viewcontent/0603paper.pdf
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spelling sg-smu-ink.lkcsb_research-29082018-07-09T07:36:46Z Estimating Credit Risk Premia Lim, Kian Guan This paper investigates the nature of the credit risk premium adjustments in the Jarrow-Lando-Turnbull model of credit risk spreads. The adjustments relate the equivalent martingale measures to the empirical measures of unconditional transition probabilities. We provide a modi ed version of the risk adjustment that allows a linear partition of the credit spread into an unconditional default component, a recovery component, and the risk premium adjustment. The risk adjustments are related to conditional default risk, illiquidity risk, and other factors not related to recovery e ects. The log-transform of these risk adjustments can be speci ed as linear regressions on a set of macroeconomic variables. Some new insights are gained pertaining to these conditional risks such as a typical upward sloping term structure and sensitivity to short-term Treasury rates and increasing forward rates. The conditional risks appear to be insensitive to market returns. Keywords: Credit Spreads, Risk Adjustments, No-arbitrage equilibrium, Conditional Risks JEL Codes: G120 G210 G330 I am grateful to the referees for providing very useful comments that have helped in the revision of this manuscript. I thank Xia Yihong for many helpful comments. I also thank Cheong Foong Soon for excellent computational assistance in this project. Research support from the Wharton-SMU Research Center is acknowledged. yProfessor of Finance, School of Business, Singapore Management University, 469 Bukit Timah Road, Singapore, 259756. 2003-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/1909 https://ink.library.smu.edu.sg/context/lkcsb_research/article/2908/viewcontent/0603paper.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Corporate Finance Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Corporate Finance
Finance and Financial Management
Portfolio and Security Analysis
spellingShingle Corporate Finance
Finance and Financial Management
Portfolio and Security Analysis
Lim, Kian Guan
Estimating Credit Risk Premia
description This paper investigates the nature of the credit risk premium adjustments in the Jarrow-Lando-Turnbull model of credit risk spreads. The adjustments relate the equivalent martingale measures to the empirical measures of unconditional transition probabilities. We provide a modi ed version of the risk adjustment that allows a linear partition of the credit spread into an unconditional default component, a recovery component, and the risk premium adjustment. The risk adjustments are related to conditional default risk, illiquidity risk, and other factors not related to recovery e ects. The log-transform of these risk adjustments can be speci ed as linear regressions on a set of macroeconomic variables. Some new insights are gained pertaining to these conditional risks such as a typical upward sloping term structure and sensitivity to short-term Treasury rates and increasing forward rates. The conditional risks appear to be insensitive to market returns. Keywords: Credit Spreads, Risk Adjustments, No-arbitrage equilibrium, Conditional Risks JEL Codes: G120 G210 G330 I am grateful to the referees for providing very useful comments that have helped in the revision of this manuscript. I thank Xia Yihong for many helpful comments. I also thank Cheong Foong Soon for excellent computational assistance in this project. Research support from the Wharton-SMU Research Center is acknowledged. yProfessor of Finance, School of Business, Singapore Management University, 469 Bukit Timah Road, Singapore, 259756.
format text
author Lim, Kian Guan
author_facet Lim, Kian Guan
author_sort Lim, Kian Guan
title Estimating Credit Risk Premia
title_short Estimating Credit Risk Premia
title_full Estimating Credit Risk Premia
title_fullStr Estimating Credit Risk Premia
title_full_unstemmed Estimating Credit Risk Premia
title_sort estimating credit risk premia
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/lkcsb_research/1909
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2908/viewcontent/0603paper.pdf
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