In this paper we challenge the view that corporate bonds are always arm's length debt. We analyze the effect of bond ratings on the stock price return to acquirers in M&A transactions, which tend to have significant effects on creditor wealth. We find acquirers abnormal returns to be higher if...

I construct a novel measure of differences of opinion based on investor holdings data which isolates the type of disagreement that is theoretically predicted to affect prices when assets are bundled or unbundled. Empirically, using the setting of corporate spin-offs, I show that differences of...

The paper discovers that firm complexity is negatively priced in cross-section. High/low-complexity conglomerates have 35-50/20-28 bp per month more negative five-factor Fama and French (2015) alphas than single-segment firms, and this effect is stronger in subsamples with low institutional...

A detailed treatment of aggregation and capital heterogeneity substantially improves the performance of the investment CAPM. Firm-level predicted returns are constructed from firm-level accounting variables and aggregated to the portfolio level to match with portfolio-level stock returns....

Anomalies are empirical results that seem to be inconsistent with maintained theories of asset-pricing behavior. They indicate either market inefficiency (profit opportunities) or inadequacies in the underlying asset-pricing model. After they are documented and analyzed in the academic...

Political risk, one of the most significant uncertainty shocks, affects firms' future attitudes toward risks and plays a crucial role in their decision making. A stock price crash risk is a classical topic in financial markets; therefore, this paper probes the relationship between firm-level...

We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....

We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....