This article studies how the three-way interaction among shareholders, creditors, and managers shapes firms’ executive compensation. Firms with a higher ownership share by “dual holders”—institutional investors that simultaneously hold equity and bond of the company—adopt a less risk-inducing compensation structure: less stock options and more inside debt. Exploiting financial institution mergers that increase or decrease dual ownership for portfolio companies, we identify a causal link between dual ownership and CEO compensation policies. Mutual fund proxy voting data suggest that shareholder voting is an important channel for dual holders to implement less convex contracts.

Using transaction-level data from a large online lending marketplace, we explore the role of homophilous intensity in online lending and uncover the evidence of a significant impact of homophily on the bidding behavior and economic effects of both lenders and borrowers. Lenders are more likely to invest in borrowers with more homophilous traits, and homophily induces higher bidding amounts. Moreover, lenders charge lower prices to more homophilous borrowers, but are able to earn higher returns due to better repayment from these borrowers. Our findings suggest that homophilous intensity has a statistically and economically significant effect on both borrowers and lenders in the online lending environment.

Previous literature finds anomalies are at least as prevalent in developed markets as in emerging markets; namely, the global anomaly puzzle. We show that while market development and information diffusion are linearly related, information diffusion has a nonlinear impact on anomalies. This is consistent with theoretical developments concerning the process of information diffusion. In extremely low-efficiency regimes, without newswatchers sowing the seeds of price discovery and ensuring the long-run convergence of price to fundamentals, initial mispricing and subsequent correction will not occur. The concentration of emerging countries in low-efficiency regimes provides an explanation to the puzzle.

We explore whether accounting fraud can be detected using the information of firms economically linked to a focal firm. Specifically, we examine whether customer information disclosed by a supplier firm, combined with customers’ accounting information, helps to detect the supplier’s revenue fraud. We first confirm the economic link between the supplier and customers by showing a strong positive correlation between the supplier’s sales growth and the growth rate of total customer purchases. We then introduce two variables based on customer accounting information—the discrepancy between supplier sales growth and customer purchase growth and customer excess purchases—and show that they are predictive of supplier revenue fraud. We conduct a battery of cross-sectional tests and generally find results to vary cross-sectionally in a predictable way. Finally, the out-of-sample tests indicate that adding the two variables to Dechow, Ge, Larson, and Sloan (2011) model increases fraud prediction accuracy.