scholarly journals Redenomination risk in eurozone corporate bond spreads

2021 ◽  
pp. 1-23
Author(s):  
Michael Bleaney ◽  
Veronica Veleanu
Keyword(s):  
2015 ◽  
Vol 05 (03) ◽  
pp. 1550007 ◽  
Author(s):  
Jan Ericsson ◽  
Joel Reneby ◽  
Hao Wang

Using a set of structural models, we evaluate the price of default protection for a sample of US corporations. In contrast to previous evidence from corporate bond data, credit default swap (CDS) premia are not systematically underestimated. In fact, one of our studied models has little difficulty on average in predicting their level. For robustness, we perform the same exercise for bond spreads by the same issuers on the same trading date. As expected, bond spreads relative to the treasury curve are systematically underestimated. This is not the case when the swap curve is used as a benchmark, suggesting that previously documented underestimation results may be sensitive to the choice of risk-free rate.


2013 ◽  
Author(s):  
Jean Helwege ◽  
Jing-Zhi Huang ◽  
Yuan Wang
Keyword(s):  

2014 ◽  
Vol 45 ◽  
pp. 105-116 ◽  
Author(s):  
Jean Helwege ◽  
Jing-Zhi Huang ◽  
Yuan Wang
Keyword(s):  

2018 ◽  
Vol 10 (4) ◽  
pp. 370-386 ◽  
Author(s):  
Zhongdong Chen ◽  
Karen Ann Craig

Purpose The purpose of this paper is to investigate the impact of January sentiment on investors’ asset allocation decisions in the US corporate bond market during the rest of the year. Specifically, the study evaluates if the shift in January sentiment is a predictor of corporate bond spreads from February to December. Design/methodology/approach Using corporate bond trades reported in TRACE between 2005 and 2014, the authors examine the ability of the Index of Consumer Sentiment and the Index of Investor Sentiment to predict bond spreads over the 11 months following January. The study evaluates both the sign of the change in sentiment and the magnitude of the change in sentiment using two generalized linear models, controlling for industry, bond and firm fixed effects. Portfolios are analyzed based on yield, firm size and firm leverage. Additional analysis is performed to ensure results are robust to the impacts of the subprime financial crisis. Findings This paper finds that the changes in the sentiment measures in January predict bond spreads associated with bond trades in the subsequent 11 months, and this phenomenon, which the authors label as the “January sentiment effect,” has opposing impacts on risky and less risky bond portfolios. Originality/value This paper adds to the literature on the relationship between sentiment and investor’s allocation decisions. The evidence documented in this study is the first known to find that investors’ allocation decisions in a year are driven by their sentiment in January.


2009 ◽  
Vol 44 (3) ◽  
pp. 641-656 ◽  
Author(s):  
Gady Jacoby ◽  
Rose C. Liao ◽  
Jonathan A. Batten

AbstractWhat drives the compensation demanded by investors in risky bonds? Longstaff and Schwartz (1995) predict that one key factor is the time-varying negative correlation between interest rates and the yield spreads on corporate bonds. However, the effects of callability and taxes also need to be considered in empirical analyses. Canadian bonds have no tax effects, yet, after controlling for callability, the correlation between riskless interest rates and corporate bond spreads remains negligible. Our results provide support for reduced-form models that explicitly define a default hazard process and untie the relation between the firm’s asset value and default probability.


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