Corporate Bond Credit Spreads and Forecast Dispersion
By Levent Guntay, Dirk Hackbarth. 2010
201 citations recorded by the source corpus.
Subfields: Finance
View Paper: https://www.semanticscholar.org/paper/2713430508652f5be6d98cbc07344474f9de07fc
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In Finance
- Peter Feldhütter
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Citations in the corpus
- Financial regulation policy uncertainty and credit spreads in the US (2014, unknown): “In particular, Chen, Collin-Dufresne and Goldstein (2009) show that the time variation of the AaaGS10 spread is mostly due to factors independent of credit risk, while Hakkio and Keeton (2009) argue that a widening in the Aaa-GS10 spread captures decreased willingness to hold illiquid assets, and us”
- Corporate Bond Liquidity Before and After the Onset of the Subprime Crisis (2012, methodology): “for this effect, we follow Güntay and Hackbarth (2006) and use dispersion in earnings forecasts as a measure of incomplete information.”
- Market discipline of banks: Why are yield spreads on bank-issued subordinated notes and debentures not sensitive to bank risks? (2011, background): “Güntay and Hackbarth (2010) find that yield spreads are higher for firms with higher dispersion of analysts’ forecast, and changes in forecast dispersion predict the changes in yield spread.”
- Aggregate Confusion: The Divergence of ESG Ratings (2020, result): “Our study is related to research on credit rating agencies, in particular, those dealing with the question why credit ratings differ (Bongaerts et al., 2012; Güntay and Hackbarth, 2010; Jewell and Livingston, 1998; Cantor and Packer, 1997).”
- Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise (2017, unknown): “See, for example, Hall and Mishkin (1982), Skinner (1988), Zeldes (1989), Caballero (1990), and Carroll (1992).”
- Individual Investor Perceptions and Behavior During the Financial Crisis (2013, unknown): “measures (Doukas et al., 2006; Zhang, 2006; Güntay and Hackbarth, 2010; Banerjee, 2011).”