Men are more prone to take risks for personal financial gain than women, and women are more likely than men to take risks to protect themselves from financial loss. Pexels

When motorcycle daredevil Evel Knievel leapt over cars, vans and fountains, it was little surprise that the person pulling those stunts was a man. That's not to say women never partake in high-risk behavior (Danica Patrick, anyone?). But decades of research confirm that men really are more inclined to take risks.

Snake River Canyon and the Indy 500 aside, economic life offers plenty of risks as well. When these risks involve investing, men under certain circumstances are more likely than women to take dangerous leaps, but why?

Rice Businesses professor Vikas Mittal joined Xin He of the University of Florida and J. Jeffrey Inman of the University of Pittsburgh in three studies to examine why men and women engage in risky business. Specifically, the team wanted to test whether each gender's risk-taking was moderated by a trait called issue capability: a decision-makers' belief that he or she can solve an issue.

The team grounded their work in agency-communion theory. This posits that men are more driven by goals that further self-interest ("agentic" goals) and women are more driven by goals that further coexistence ("communion" goals).

Based on this theory, the researchers hypothesized that men making investment decisions would take greater risks as their issue capability rose. This would occur because men, who are more focused on maximizing gains, would become more risk-seeking as their self-capability perceptions increased.

Conversely, the researchers theorized, women who faced similar investment decisions would focus on avoiding loss — even when their issue capability rose. This fundamental difference in investing perspective — men trying to maximize any gain versus women trying to minimize any loss – would be at the heart of a diametrically opposite stance on financial risk-taking.

All three studies proved the theory to be correct.

In the first study, the researchers asked men and women to wager money on Daily Double questions in "Jeopardy!" The male contestants with higher issue capability (i.e. demonstrated knowledge of the category) took the biggest risks. The women contestants showed equal levels of betting behavior regardless of whether they had high issue capability or not.

In the second study, the researchers dove into the psychology underlying gender and issue capability. First, the researchers primed male and female participants to believe they had either good or bad track records with risky investment decisions. Then they asked both groups to imagine they could invest $20,000 at varying levels of risk.

When it came to investing for gains, the researchers found, the women's beliefs about their issue capability made no real difference in their financial choices. Even after they had been primed to think they were highly capable investors, the women participants were less prone than the men to focus on the upside potential

And the men? Those who believed they were "capable" made the riskiest investment decisions. They also reported the highest number of thoughts about the positive potential of the various investment scenarios. Statistical analysis proved that these gain-maximization thoughts egged them on in their risk-taking.

On the other hand, those male participants who weren't primed to feel capable showed risk-taking patterns identical to that of the female participants. The results, in other words, suggest that the key difference between men and women's risk-taking is not innate — but stems from their self-conviction in investment competence.

The third study examined these processes in yet another way, by giving female and male participants the chance to maximize gains through making investments in stocks, or to minimize losses through buying insurance. Once again, the men primed to see themselves as ace investors made the riskiest investments. The women who felt themselves especially capable kept their risk-taking steady.

The women's behavior only changed when they thought they were subpar investors. When both women and men were told they were stock market duds, the women were more likely than the men to buy insurance — in other words, to take traditional measures to defend against loss.

Risk-taking choices, in other words, can no longer be written off as just boys being boys or girls being girls. More accurately, boys will be boys when a male investor thinks he is especially capable and that taking a risk will benefit him personally. That's not always a good thing. A female investor, who will typically focus on minimizing potential loss, can contribute a lot to investing decisions. Taking a big risk, as many an investor knows, isn't always the best move.

Mittal's findings inspire a list of possibilities for future research. What will happen to these behaviors as more women assume leadership jobs and more men get to show their skill as caregivers? Should senior management teams have both male and female representation to balance out the upsides and downsides of investment decisions? What about at home: would household decisions change for the better if both the man and the woman contributed their perspective?

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This story originally ran on Rice Business Wisdom.

Vikas Mittal is the J. Hugh Liedtke Professor of Marketing at Jones Graduate School of Business at Rice University.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”