We investigate the benefits of forecast combination for timing equity factors based on predictive regressions using macro predictors. Relative to standard predictive regression models, forecast combination reduces the noise of forecasts and hence improves their out-of-sample predictive accuracy....

We examine a dynamic disclosure model in which the value of a firm follows a random walk. Every period, with some probability, the manager learns the value and decides whether to disclose it. The manager maximizes the market perception of the firm's value, which is based on disclosed...

Corruption defined as the misuse of public power for personal gains is a forefront issue around the world, especially in developing countries. This paper mainly assumes that corruption has negative effects on government revenues both in the short-run and the long-run. In order to test this...

The SEC has expressed concern that some emerging risks - most notably, cybersecurity risk - exhibit an insufficient level and quality of disclosure. Policymakers envision a board role in cybersecurity risk management, but whether that role would effectively improve risk disclosure is an open...