We examine the effects of the big five personalities of CEOs (openness, conscientiousness, extroversion, agreeableness, and neuroticism) on their annual compensation. We hand-collect the tweets of S&P 1500 CEOs and use IBM's Watson Personality Insights to measure their personalities. CEOs with high ratings of agreeableness and conscientiousness get more compensation. We further find that the firms with these CEOs outperform their peers due to better investment efficiency. Firms are willing to pay higher compensation for talent, especially for firms with better operations, located in states with higher labor unionization, or facing higher competition in the product market. Overall, CEO personality is a valid predictor of CEOs' compensation.

We investigate how a state's political corruption affects a resident firm's debt contracting and how a change in anti-corruption regulation alters the relation between corruption and loan contracting. Firms in more corrupt states are associated with significantly higher loan spreads and tighter loan covenants than firms in less corrupt states. Furthermore, the passage of the Dodd–Frank whistleblowing provision amplifies the conhcerns of banks about the detrimental impact of corruption due to the increased exposure of firms to whistleblowing threats. The detrimental impact of corruption is further amplified when a state has a higher level of whistleblowing involvement, when firms are located in more corrupt states or closer to the SEC office, and when the bank's state is less corrupt than the firm's state. In general, we document the externality of corruption in the debt financing of firms and the response of banks to changes in regulation.

This paper investigates how state ownership affects financial reporting practices in China. Using several measures of state (government) ownership, we show that a one-standard-deviation increase in state ownership decreases financial statement comparability by 36.61%, and the impact is more pronounced when the central authority has majority control of the company. Moreover, lower earnings quality and lower levels of accounting conservatism among state-owned enterprises (SOEs) may explain the lower accounting comparability between SOEs and non-SOEs (NSOEs). Additionally, similar (different) managerial objectives converge (diverge) financial statement comparability between SOEs and NSOEs. Last, the geographical locations of firms also contribute to financial statement comparability. We employ a difference-in-differences design, changes regression and entropy balancing to mitigate potential endogeneity bias.