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Credit spread discrepancies between European rated and unrated corporate bonds

机译:欧洲评级和未评级公司债券之间的信用利差差异

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摘要

OBJECTIVES OF THE STUDY:As the increasing regulation in the banking industry is pushing Europe towards more vivid capital markets, also an increasing portion of mid-cap companies without official credit ratings are extending their funding sources towards the bond markets. In this thesis, I study whether credit risk is equally well depicted in the prices of European unrated and rated bonds, or whether credit spread discrepancies between the two occur.DATA AND METHODOLOGY:In the study, I calculate implied credit ratings for a sample of unrated bonds using three different credit risk models: a shadow rating model provided by Moody's, Altman's Z-Score and the Merton DD model. To assess the accuracy and biasedness of the three models, implied credit ratings are also calculated for a sample of rated bonds. On the basis of the assessment calculations, I conclude that the shadow rating model is unbiased in estimating implied credit ratings, whereas the Merton DD model is somewhat biased to estimate excessively high ratings. The Altman's Z-Score model is completely dismissed due to extremely high inconsistency in rating predictions. After assigning the unrated bonds an implied credit rating, I assess whether their credit spreads are comparatively equal to those of rated bonds with the same level of credit risk and other characteristics. For this, I use simple regression analysis, separately controlling for bond liquidity. The bond samples consist of 237 unrated and 594 rated bonds issued by European listed, non-financial companies during the time period ranging from January 2001 to December 2013.FINDINGS OF THE STUDY: The results of the study indicate that the credit spreads of unrated bonds differ from those of rated bonds, i.e. credit risk is not equally accounted for in the prices of these bonds. Interestingly, the results also suggest that unrated bonds with high credit quality, i.e. high implied ratings, have larger credit spreads with regard to their rated counterparts than bonds with lower credit quality, i.e. low implied ratings, do with regard to theirs. In other words, the results imply that investors perceive unrated bonds with high credit quality to be relatively riskier than unrated bonds with low credit quality.
机译:研究的目的:随着银行业日益严格的监管将欧洲推向更加活跃的资本市场,越来越多没有官方信用评级的中型公司将其资金来源扩展到债券市场。在这篇论文中,我研究了信用风险是否在欧洲未评级和定级债券的价格中同样得到了很好的描绘,或者两者之间是否存在信用利差差异。数据和方法:在研究中,我计算了一个样本的隐含信用评级使用三种不同的信用风险模型对未评级债券进行评级:穆迪提供的影子评级模型,奥特曼(Altman)的Z-Score和默顿DD模型。为了评估这三种模型的准确性和偏向性,还对评级债券的样本计算了隐含信用评级。根据评估结果,我得出的结论是,影子评级模型在估计隐含信用评级方面是无偏见的,而默顿DD模型在估计过高的评级方面有些偏颇。由于评级预测中的极高不一致,完全忽略了Altman的Z评分模型。在给未评级债券赋予隐含信用评级后,我评估了它们的信用息差是否与具有相同信用风险水平和其他特征的已评级债券的信用息差相对比较。为此,我使用简单的回归分析,分别控制债券的流动性。债券样本包括2001年1月至2013年12月期间欧洲上市的非金融公司发行的237支未评级债券和594评级债券。研究结果:研究结果表明,未评级债券的信用息差与额定债券不同,即信用风险不在这些债券的价格中平均分配。有趣的是,结果还表明,具有较高信用质量(即高隐含评级)的未评级债券相对于具有评级信用的低信用债券(即具有低隐含评级的债券)而言,相对于其评级对手具有更高的信用利差。换句话说,结果暗示投资者认为信用质量高的未评级债券要比信用质量低的未评级债券具有相对较高的风险。

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  • 作者

    Tuominen Minna;

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  • 年度 2014
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  • 正文语种 en
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