New research finds that simply having more women on a team can boost honesty and curb bias in group decision-making.
Picture a routine team meeting at your company. Finance just circulated next quarter’s projections, and something feels off: Demand is wobbling, and costs are creeping up, yet the forecasted curve still rockets upward.
Everyone knows the company needs an upbeat story and that suppliers and investors require rosy numbers. You glance around the room and sense that no one wants to be the naysayer. Do you speak up about the risks, or quietly “go along” with the optimistic spin? Economists label situations when a decision‑maker’s personal stake in the outcome threatens to cloud objective judgment as “conflict of interest.” Employees might just call it “doing what it takes” or “being a team player.” It’s what happens when incentives or group dynamics push people—even subconsciously—to favor a particular outcome that serves them best. One common distortion this tension produces is optimism bias: the impulse to downplay real risks and paint a future that looks brighter than the evidence warrants. In such cases, the question haunting leaders is obvious: In the face of corporate pressures, how do you uphold honesty in your team’s decisions? Our new research, published in the Journal of Banking and Finance, points to an unexpected answer: gender diversity. The Limits of Regulation and Training The tension between ethical standards and the forces that undermine them is especially visible in competitive industries like finance, where both incentive structures and corporate culture can appear to reward complicity over candor. Despite all the policies, compliance training, and hotlines intended to discourage misconduct, it still remains rampant. This damages efficient information flows in financial markets and poses a risk of sanctions to financial institutions. Even at companies that publicly champion integrity, day-to-day team dynamics can undermine those values. Research has found that formal rules need to be paired with an internal moral compass and peer accountability within teams. A Surprising Solution Hidden in Plain Sight Our study focused on financial analysts, who often feel pressure to put a positive spin on stock valuations when their firm has a vested interest in the deal. Our goal was to explore potential solutions to the persistent issue of optimism bias in analysts’ stock recommendations. We analyzed over 63,000 target-price forecasts issued by more than 3,400 sell-side analysts at 364 investment banks over eleven years. To assess whether analysts were overly optimistic, we compared their one-year-ahead price targets for a company to both the actual stock price and the consensus estimate from other analysts. This allowed us to quantify the degree of an analyst’s optimism. We then studied how this optimism varied across brokerages with different levels of gender diversity. The pattern that emerged was unmistakable: Teams with more women exerted lower optimism bias in their issued target prices than those with fewer women. Put another way, gender diversity was consistently found to reduce the level of optimism bias. The effect was strongest when the pressure was highest—that is, when the analyst’s brokerage had a big stake in the company being evaluated . In other words, when conflict of interest would normally bite hardest, gender-diverse teams showed the most resistance to the optimism bias it induces. How big a difference are we talking about? The statistics were eye-opening: Increasing the proportion of women on an analyst team by just 8 percentage points dropped the optimism bias in their stock price targets by up to 12%. In an industry where even small forecasting errors can translate into billions of dollars misallocated, that reduction in bias is anything but trivial. Teams with higher female representation were far more realistic in their assessments—that is, much less likely to overshoot with rose-colored predictions—compared to homogeneous teams. Crucially, this wasn’t because the women in the group were individually more cautious or ethical. In fact, when operating solo under similar conditions, male and female analysts were equally prone to optimistic forecasts. Rather, it’s the group dynamic that changed with gender diversity. With more women present, the entire team’s behavior shifted: Both men and women analysts on those mixed teams dialed down their own optimism, issuing more tempered, objective projections. To be sure diversity was causing this integrity boost and wasn’t merely correlated with some other factor, our study also looked at natural experiments. One telling analysis tracked analysts who switched firms, moving from a more homogenous team to a more gender-diverse one. When the same analyst worked in the more-diverse environment, their forecasting bias dropped noticeably. The analyst hadn’t suddenly become more ethical, but the culture around them had changed, and that made them act differently. A similar effect occurred during mergers of brokerage firms. Some analysts suddenly found themselves on teams with a higher share of women after a merger. Those analysts became significantly less optimistic in their target prices afterward, even for clients with conflicts of interest. Even in the midst of a merger’s challenges, diverse analyst teams were more likely to issue realistic forecasts. To distinguish cause and effect, the study introduced a timing test. The idea was simple: If unbiased forecasts were followed by more women joining the team, it would suggest that gender diversity was merely a byproduct of a pre-existing ethical culture. In other words, an ethical team might naturally attract more female analysts over time. However, that’s not what we found. A forecast’s bias showed no association with the number of women who joined the team afterward. Instead, only the proportion of women already on the team at the time of the forecast was linked to the forecast’s bias. This result helped dispel the skeptic’s notion that ethical firms simply end up with more women. Instead, it shows that gender diversity actively shapes a team’s ethics. In short, having a diverse team caused the integrity boost—not the other way around. Implications for Leaders Consider how powerful this is: Without new laws or stern guidance from the CEO, simply changing gender composition tilted behavior toward greater honesty about firm prospects. It’s a form of soft regulation that arises organically from within the team, complementing formal compliance and external oversight. In the halls of finance we often hear about excessive risk-taking. Our findings flip that narrative: Perhaps the most underappreciated lever for curbing ethical lapses is diversifying that culture. This doesn’t just improve ethical vigilance and intellectual honesty—it has the potential to sharpen risk management and produce more reliable information for decision-makers, investors, and markets. And we speculate that this effect likely could extend far beyond stock analysts or bankers—any high-pressure team could potentially reap the gains that gender diversity brings. In fact, these results give empirical weight to what prior work has argued conceptually: That gender diversity isn’t just a feel-good slogan or a box to tick—it’s a structural antidote to unwanted behavior that can lead to better decisions under the right conditions. If one relatively simple change such as adding more women to a team can curb a pervasive bias in an ultra-competitive field, what other ethical boosters might we be overlooking? Diversity is a powerful piece of the puzzle in building resilient, principled teams. Research shows that this kind of diversity-driven integrity can also lead to greater firm-level resilience, lower risk, and better innovation outcomes. It won’t single-handedly eliminate all the pressure or temptation to fudge the truth; no single change can. But it shifts the baseline of behavior. It makes doing the right thing easier for everyone in the room. . . . The next time the pressure’s on and you’re asking how to safeguard integrity in your organization, remember this: You can create rules, roll out training, and repeat your values all you want . But also ask a more strategic question: Who’s in the room? Homogeneity can silently amplify blind spots. A more intentionally gender diverse team won’t guarantee better decisions, but it makes them more likely. In complex, high-stakes environments, that shift in probability may be one of the most practical investments a leader can make.
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