Combining the company’s risk of financial fraud predicted by the machine learning method and unique Chinese data of board voting, this study investigates whether independent directors can identify the company’s risk of financial fraud. We find that independent directors are more likely to express dissenting opinions on board’s financial-related proposals when the company has a higher risk of financial fraud; this impact is more pronounced when independent directors have more financial backgrounds or higher reputations. Further study shows th...
