This paper proposes “implied stochastic volatility models” designed to fit option-implied volatility data and implements a new estimation method for such models. The method is based on explicitly linking observed shape characteristics of the implied volatility surface to the coefficient functions that define the stochastic volatility model. The method can be applied to estimate a fully flexible nonparametric model, or to estimate by the generalized method of moments any arbitrary parametric stochastic volatility model, affine or not. Empirical evidence based on S&P 500 index options data show that the method is stable and performs well out of sample.

Using a novel database of firm patents and board characteristics across 45 countries, we examine both within- and cross-country determinants of board gender diversity and its relation to corporate innovation. Boards are more likely to include women in countries with narrower gender gaps, higher female labor market participation, and less masculine cultures. Firms with gender diverse boards have more patents and novel patents, and a higher innovative efficiency. Further analyses suggest that gender diverse boards are associated with more failure-tolerant and long-term chief executive officer (CEO) incentives, more innovative corporate cultures, and more diverse inventors, characteristics that are conducive to an improved innovative performance.

We examine the impact of an anti-corruption campaign on analyst earnings forecast optimism. Using hand-collected site visits data by the Central Inspection Team (CIT) in China that began in 2013, we document higher analyst optimism during CIT visit periods than during non-CIT visit periods. The results are robust to matched samples, placebo tests, alternative fixed effect and clustering specifications, endogeneity of CIT site visits concern, and alternative samples. Additional analysis suggests that local government pressure and firm bad-news-hiding explain the findings but it is not consistent with the improved firm fundamentals interpretation. Moreover, we find that the effect of CIT visits on analyst optimism is more pronounced for star, non-affiliated, and experienced analysts, supporting the notion that, because of their greater influence, local governments focus on pressuring these analysts. More important, the impact of CIT visits on analyst optimism is more salient if a CIT leader had previous work experience or longer work experience in the inspected province. Interestingly, we document a reversion in analyst earnings forecast optimism 60 days after CIT site visits, especially among the non-state-owned firms, suggesting that, after the CIT investigation, analyst optimism is no longer needed.