2010
DOI: 10.1007/s11142-010-9127-2
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Analyst forecast characteristics and the cost of debt

Abstract: We examine the relation between analyst forecast characteristics and the cost of debt financing. Consistent with the view that the information contained in analysts' forecasts is economically significant across asset classes, we find that analyst activity reduces bond yield spreads. We also find that the economic impact of analysts is most pronounced when uncertainty about firm value is highest (that is, when firms have high idiosyncratic risk). Our findings are robust to controls for private information in eq… Show more

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Cited by 193 publications
(157 citation statements)
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References 66 publications
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“…We also find that this relation holds in countries with weak and strong governance institutions, although the effects appear to be economically more important in the former. Overall, our non-U.S. findings extend the U.S. evidence in Mansi et al (2011) that financial analysts play an important governance role as information intermediaries between firms and market participants. …”
supporting
confidence: 78%
“…We also find that this relation holds in countries with weak and strong governance institutions, although the effects appear to be economically more important in the former. Overall, our non-U.S. findings extend the U.S. evidence in Mansi et al (2011) that financial analysts play an important governance role as information intermediaries between firms and market participants. …”
supporting
confidence: 78%
“…As described previously in the ''Research Design'' section, we follow a two-step process established in prior literature (see Mansi et al 2004;Mansi et al 2011;Kecske´s et al 2013) and include the residuals from our bond rating model (Equation (1)) as an independent variable representing the effect of the bond rating orthogonal to the other independent variables. Once again, we estimate Equation (2) and cluster our standard errors by bond issue.…”
Section: Resultsmentioning
confidence: 99%
“…We also add an additional variable, Rating, to the model as recommended in the literature (e.g., Mansi et al 2004;Mansi et al 2011;Kecske´s et al 2013). Rating is estimated as the residual from Equation (1), which incorporates the effects of the bond rating information into Equation (2) while being orthogonal to the independent variables included in Equation (1).…”
Section: Methodsmentioning
confidence: 99%
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“…follow O'Brien and Bhushan (1990) and Mansi et al (2011) and use the forecasts made in the one month prior to the fiscal year-end to calculate forecast dispersion and error. For example, I use the forecasts released by financial analysts during November if a company's fiscal year-end is December 31.…”
Section: H1bmentioning
confidence: 99%