We analyze the impact of the Dodd-Frank Wall Street Reform and Consumer Protection Act (Dodd-Frank) on corporate bond ratings issued by credit rating agencies (CRAs). We find no evidence that Dodd-Frank disciplines CRAs to provide more accurate and informative credit ratings. Instead, following Dodd-Frank, CRAs issue lower ratings, give more false warnings, and issue downgrades that are less informative. These results are consistent with the reputation model of Morris (2001), and suggest that CRAs become more protective of their reputation following the passage of Dodd-Frank. Consistent with Morris (2001), we find that our results are stronger for industries with low Fitch market share, where Moody׳s and Standard & Poor׳s have stronger incentives to protect their reputation (Becker and Milbourn, 2011). Our results are not driven by business cycle effects or firm characteristics, and strengthen as the uncertainty regarding the passage of Dodd-Frank gets resolved. We conclude that increasing the legal and regulatory costs to CRAs might have an adverse effect on the quality of credit ratings.

Miller [1977. Risk, uncertainty, and divergence of opinion. Journal of Finance 32, 1151–1168] hypothesizes that prices of stocks subject to high differences of opinion and short-sales constraints are biased upward. We expect earnings announcements to reduce differences of opinion among investors, and consequently, these announcements should reduce overvaluation. Using five distinct proxies for differences of opinion, we find that high differences of opinion stocks earn significantly lower returns around earnings announcements than low differences of opinion stocks. In addition, the returns on high differences of opinion stocks are more negative within the subsample of stocks that are most difficult for investors to sell short. These results are robust when we control for the size effect and the market-to-book effect and when we examine alternative explanations such as financial leverage, earnings announcement premium, post-earnings announcement drift, return momentum, and potential biases in analysts’ forecasts. Also consistent with Miller's theory, we find that stocks subject to high differences of opinion and more binding short-sales constraints have a price run-up just prior to earnings announcements that is followed by an even larger decline after the announcements.