首页> 外文期刊>Journal of banking & finance >On the importance of systematic risk factors in explaining the cross-section of corporate bond yield spreads
【24h】

On the importance of systematic risk factors in explaining the cross-section of corporate bond yield spreads

机译:关于系统性风险因素在解释公司债券收益率利差横截面中的重要性

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper we examine the importance of systematic equity market factors in explaining the cross-sectional variation in yield spreads on corporate debt. Based on a sample of 1771 corporate bonds over the period from January 1985 to March 1998, we find that once the default-related variables are controlled for, bond betas or sensitivities to aggregate equity market risks have very limited explanatory power. This is in contrast to [Elton, E.J., Gruber, M.J., 2001. Explaining the rate spread on corporate bonds. Journal of Finance 56, 247-277] who find that market factors tied to expected returns are predominantly important, but who do not control for these variables (i.e. the relevant variables from structural models), possibly biasing their estimates. On the other hand, our finding that the systematic factors exhibit some limited explanatory power suggests that the standard contingent claims approach may not fully apply. This finding is consistent with previous research that bond betas are not completely irrelevant once market frictions are introduced. Overall, the evidence provides empirical support for the proposition that structural models capture important elements of corporate bond yield spread determination and equity market systematic factors are by no means predominant.
机译:在本文中,我们研究了系统的股票市场因素在解释公司债务收益率差的横截面变化方面的重要性。基于1985年1月至1998年3月期间1771家公司债券的样本,我们发现,一旦控制了违约相关的变量,债券的betas或对总体股票市场风险的敏感性就具有非常有限的解释力。这与[Elton,E.J.,Gruber,M.J.,2001。解释公司债券的息差有关。 《金融杂志》(第56卷,第247-277页)发现与预期收益相关的市场因素极为重要,但他们无法控制这些变量(即结构模型中的相关变量),因此可能会使估计值产生偏差。另一方面,我们的发现是系统性因素显示出有限的解释力,这表明标准的或有债权方法可能无法完全适用。这一发现与先前的研究一致,即一旦引入市场摩擦,债券的贝塔系数并不是完全无关紧要的。总体而言,证据为以下命题提供了经验支持:结构模型反映了公司债券收益率价差确定的重要因素,而股票市场系统因素绝非主要因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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