While there is extensive research on how option incentives in executive compensation relate to risk-taking by managers, the impact of capital structure on this relationship has received little empirical attention. Extant work suggests that heightened managerial career concerns arising from financial risk and monitoring by debt holders will result in leverage dampening the relationship between managerial risk-taking and equity-linked incentives. We empirically evaluate this contention and find that firm leverage is associated with a significant weakening of the positive relationship between option incentives in flow compensation and managerial risk-taking. This result holds after accounting for the endogeneity of the firm leverage and incentive compensation decisions, and is robust across alternative measures of managerial risk-taking and to using the firm's credit ratings instead of leverage. The attenuating effect of firm leverage arises from both the long-term and short-term components of debt and is significantly stronger during the financial crisis of 2007–2009. Overall, the evidence highlights the influence of capital structure on the relationship between option incentives and managerial risk-taking.

We study circumstances when analysts’ forecasts diverge from managers’ forecasts after management guidance, and the consequences of this divergence for investors and analysts. Our results show that investors’ return response to earnings surprises based on analyst forecasts is significantly weaker when analyst and management forecasts diverge, and that this attenuating effect is stronger when the management forecast is more credible. When the divergent management forecast is more accurate than the analyst consensus forecast, the subsequent‐quarter analyst consensus forecast is significantly more accurate than that of the current quarter, and exhibits less serial correlation. Overall, our findings suggest that, when analyst and management forecasts diverge, investors find the two sources to contain complementary information, and analysts learn to improve their subsequent forecasts.