We examine insider trading profitability and common identity between insiders and top executives. We argue that common gender and the resulting social connections influence access to private information, wherby insiders benefit from greater information-sharing with top executives of the same gender. Using a large sample of US firms between 1995 and 2016, we find higher (lower) insider trading profitability for female (male) insiders in the presence of a female CEO or CFO. We also find that, in isolation, other social and professional commonalities, such as age, ethnicity, having attended the same university or having worked at the same firm also increase insider profitability, albeit to a lesser extent. Our evidence suggests that some of these commonalities enhance the common gender effect when combined with it. We examine formal interactions and find that attending meetings and serving on committees with top executives of the same gender enables private information-sharing, consistent with gender acting as an informational channel. We also document greater clustering of insiders' trades around the trades made by common gender top executives. Our findings are consistent with flows of private information from CEOs and CFOs to less informed common gender insiders.

A barrage of regulatory requirements has been issued to increase the impartiality of sell-side analysts’ research reports and create a wall between equity research and investment banking departments. Yet studies suggest a persistent organizational culture within the profession that encourages optimistically biased research reports for current and potential investment banking clients. To examine potential solutions to this issue, we focus on sell-side analysts’ target price optimism and find that analysts at brokerages with higher female representation issue significantly less optimistic target prices, especially when they face incentives to inflate forecasts due to their brokerage’s affiliation to the firm being analyzed. To identify the mechanism behind this result, we explore analysts’ optimism bias in situations when mergers between banks change gender composition in a way that is exogenous to the analysts, as well as when analysts voluntarily switch between brokerages with different gender compositions. The results of these analyses, along with a lag and forward test of the relation between the female proportion of analysts and optimism bias, indicate that gender composition plays a significant role in shaping brokerage culture. We rule out that results are driven by the gender of the individual analyst and confirm our results’ robustness to various specifications. Our findings suggest the potential for gender composition of the workforce to aid self-regulation in the financial industry.