Camelia Kuhnen is an expert in neuroeconomics, behavioral finance and corporate finance. Her work has an interdisciplinary nature, with the over-arching theme of trying to understand how people make financial and economic choices that concern them as individuals or as decision makers in firms.
Her dual training in finance and neuroscience led her to conduct pioneering research in the new field of neuroeconomics. In this work Dr. Kuhnen has studied the micro-foundations of financial decision making by investigating the brain and genetic mechanisms responsible for learning and risk taking in financial markets.
In her corporate finance work, Dr. Kuhnen has analyzed issues at the intersection of behavioral and organizational economics. She has studied how firms select and incentivize employees and has demonstrated the importance of social connections and social comparisons for these processes.
Top neuroscience, finance and management journals have published her work, which has attracted significant media coverage and public interest.
Now her work has been recognized with her election to two roles. She is president of the Society for Neuroeconomics and a faculty research fellow at the National Bureau of Economic Research (NBER).
Industry Expertise (4)
Areas of Expertise (4)
Society for Neuroeconomics, President 2014-15 (professional)
Elected president of the Society for Neuroeconomics
Best 40 Under 40 Professor, Poets & Quants (professional)
The most outstanding business professors under the age of 40 are featured by Poets & Quants.
Weatherspoon Award (professional)
Winner of the Weatherspoon Award for Excellence in MBA Teaching
Stanford Graduate School of Business: Ph.D., Finance 2006
Massachusetts Institute of Technology: B.S., Finance 2001
Massachusetts Institute of Technology: B.S., Brain & Cognitive Sciences 2001
- National Bureau of Economic Research
- Society for Neuroeconomics
- UNC Poverty Task Force
- American Finance Association
Media Appearances (6)
Stock Market's Sudden Correction Might Not Impact Most Americans
GLINTON: Camelia Kuhnen of the University of North Carolina is an expert in neuroeconomics. She studies what's happening in our brain when we make financial decisions. Kuhnen says if you do pay attention, this is probably the worst time to be making financial decisions, when you're hearing bad news...
2016 Best 40 Under 40 Proessors
Poets & Quants
The most outstanding business school professors under the age of 40 are celebrated.
Eight reasons you make bad financial decisions
The Guardian online
A separate 2012 study by Camelia Kuhnen, associate finance professor also at the University of North Carolina, found that people with variants of the COMT gene are better able to learn financial information. Meanwhile, the Center for Neuroeconomics Studies in Los Angeles linked COMT to the success of Wall Street traders...
Camelia Kuhnen: Neuroeconomics pioneer
UNC Kenan Flager News online
Camelia Kuhnen arrived in Boston from Romania in 1997. She was an 18-year-old aspiring doctor with two suitcases and a scholarship to MIT. America was not quite what she expected. “I was very curious to see that America did not look like it does in the movies. Boston is very different from Dallas – and I say Dallas because the TV show ‘Dallas’ was super popular in Eastern Europe after the communist regime fell. So we all assumed that America was just like Dallas,” she says...
Let's Make Black Friday a Little Brighter
The Huffington Post online
"Designer labels 60% off!" and yet somehow they're still making a killing. Camelia Kuhnen, behavioral economist at the University of North Carolina, says promotions like this are targeting our brain's reward center. They create a "happy-frenzied state" enticing us to make impulsive purchases that deliver immediate satisfaction...
Do Genetics Influence Your Credit Score?
To understand how genes could sway our decisions, I asked a neuroeconomist. Neuroeconomics is an emerging and interdisciplinary field in which brain scans and other technologies are used to understand how we make financial decisions. Brian Knutson, a neuroeconomist at Stanford University, explained a study that he conducted with two colleagues, Camelia Kuhnen and Gregory Samanez-Larkin, on the link between our genes, financial decisions and even life outcomes...
MBA 771: Financial Tools
The goal of this course is to introduce students to the concepts and techniques necessary to implement optimal investment decisions by firms and investors. The course studies the effect of time and uncertainty on financial decision making. Topics include discounting techniques,
applications to personal finance, bonds, stocks and options valuation, optimal portfolios, project valuation and capital budgeting.
ABSTRACT: This study asks whether investors learn differently from gains versus losses. I find experimental evidence that indicates that being in the negative domain leads individuals to form overly pessimistic beliefs about available investment options. This pessimism bias is driven by people reacting more to low outcomes in the negative domain relative to the positive domain...
ABSTRACT: Individuals vary in their willingness to take financial risks. Here we show that variants of two genes that regulate dopamine and serotonin neurotransmission and have been previously linked to emotional behavior, anxiety and addiction (5-HTTLPR and ...
ABSTRACT: Business connections can mitigate agency conflicts by facilitating efficient information transfers, but can also be channels for inefficient favoritism. I analyze these two effects in the mutual fund industry and find that fund directors and advisory firms that ...
ABSTRACT: In functional magnetic resonance imaging research, nucleus accumbens (NAcc) activation spontaneously increases before financial risk taking. As anticipation of diverse rewards can increase NAcc activation, even incidental reward cues may influence ...
ABSTRACT: Investors systematically deviate from rationality when making financial decisions, yet the mechanisms responsible for these deviations have not been identified. Using event-related fMRI, we examined whether anticipatory neural activity would predict optimal and ...