首页> 外文OA文献 >Predicting spreads in the Nordic high yield bond market : a study of credit pricing in the years 2000-2012
【2h】

Predicting spreads in the Nordic high yield bond market : a study of credit pricing in the years 2000-2012

机译:预测北欧高收益债券市场的价差:2000-2012年间的信用定价研究

摘要

The main objective of this thesis is to identify and measure explanatory factors of observed credit spreads in the Nordic corporate high yield bond market in the period 2000 – 2012. From literature on credit pricing, we found three sources of risk compensation worth investigating; default risk, liquidity risk, and market risk. Our high yield sample consists of 323 bond issues, whereas 49 defaulted during the period.Our spread analysis is twofold. First, we utilize an extended structural credit risk model based on the classic model of Merton (1974) to estimate fair bond spreads based solely on the expected loss from defaults. Loss given default was attempted to be modeled separately, but no systematic relationship was identified, and a static estimate was used instead.Second, we attempted to explain the part of the observed credit spreads not explained by credit risk using a multivariate OLS-regression. This was done by instrumenting liquidity and market risk.Our main findings are that default risk can explain as much as 65 percent of the observed credit spreads on average. Furthermore, the credit model has significantly lower relative mispricing for bonds involved in a credit event, implying that structural characteristics are good predictors of credit risk. The part of the credit spread not explained by default risk was 178 basis points (bps) on average in absolute terms. Our attempt at explaining the variation in mispricing with liquidity and market risk was less conclusive, but liquidity proved to be significant with a premium of 110 bps for illiquid issuers.
机译:本文的主要目的是确定和衡量2000年至2012年北欧公司高收益债券市场中观察到的信用价差的解释性因素。从信用定价的文献中,我们发现了值得研究的三种风险补偿来源。违约风险,流动性风险和市场风险。我们的高收益样本包括323个债券发行,而同期有49个债券违约,我们的利差分析是双重的。首先,我们利用基于默顿(1974)经典模型的扩展结构性信用风险模型,仅基于违约的预期损失来估计公平债券利差。尝试对给定违约损失进行单独建模,但未找到系统关系,而是使用静态估计。其次,我们尝试使用多元OLS回归解释观察到的信用利差部分,而信用风险未解释这一部分。这是通过测量流动性和市场风险来完成的。我们的主要发现是,违约风险可以平均解释多达65%的观察到的信用利差。此外,信用模型对涉及信用事件的债券的相对错误定价明显较低,这表明结构特征是信用风险的良好预测指标。信用差额中没有用违约风险解释的部分绝对值平均为178个基点(bps)。我们试图解释流动性和市场风险造成的定价错误的变化的结论还不太确定,但事实证明流动性非常重要,对于非流动性发行人的溢价为110个基点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号