We examine the relation between a measure of male CEOs’ facial masculinity and financial misreporting. Facial masculinity is associated with a complex of masculine behaviors (including aggression, egocentrism, risk-seeking, and maintenance of social status) in males. One possible mechanism for this relation is that the hormone testosterone influences both behavior and the development of the face shape. We document a positive association between CEO facial masculinity and various misreporting proxies in a broad sample of S&P 1500 firms during 1996-2010. We complement this evidence by documenting that a CEO’s facial masculinity predicts his firm’s likelihood of being subject to an SEC enforcement action. We also show that an executive’s facial masculinity is associated with the likelihood of the SEC naming him as a perpetrator. We find that facial masculinity is not a measure of overconfidence. Finally, we demonstrate that facial masculinity also predicts the incidence of insider trading and option backdating.
This may sounds nuts, but the authors in this paper examine the relationship between a CEOs’ facial features and their propensity to misreport financials. The hypothesis for why this relationship is causal is that a person’s physical characteristics (ex, fitness, height, or facial shape) predicts his/her personality characteristics (ex, aggressiveness, risk-taking, egocentrism).
This paper hypothesizes that a male CEO’s testosterone levels are linked to his masculine behavior, which are linked to financial misreporting. While it is impossible to get data on a CEO’s testosterone level, Stirrat and Perrett (2012) shows that male facial width-to-height ratio is a valid measure of his testosterone exposure during puberty, and this ratio has correlation with antisocial tendencies. The paper uses the Stirrat and Perrett metric as a proxy for testosterone.
Facial width-to-height ratio (fWHR): the distance between the cheekbones is the width and the distance between the upper lip and the highest point of the eyelids is the upper face height. fWHR is calculated as width divided by height.
The paper studies a sample of 1,136 CEOs from S&P 1500 companies in 2009. The authors manually collect each CEO’s measurable, high-quality, facing forward pictures from Google Images and calculate fWHR based on photos collected. Based on Stirrat and Perrett (2012), the above median fWHR represents more masculine facts.
To test the relation between financial misreporting and fWHR, the authors run a regression model as follows. D(fWHR>median) is a dummy variable that takes the value of “1” if a CEO’s fWHR is above the median and “0” otherwise.
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Facial masculinity matters! For CEOs with above-media fWHR, their risk associated with misreporting is up to 98% higher for CEOs with below-median fWHR.
Below is a part of Table 4 which shows the results of the regression. The coefficient on D(fWHR>median) in the proportional hazard model in column 1 (column 2) is 1.833 (1.984). Put it simply, CEOs with above-median fWHR face an 83% (98%) higher hazard of experiencing a substantial risk of misreporting than below-median-fWHR CEOs. (Column 1 and 2 differentiates on the quality of the pictures)
The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.
This paper is hard to take seriously, but the authors do try their best to conduct a credible empirical analysis. You have to give the authors credit for thinking outside the box. I’m skeptical you can draw a causal conclusion from this research, but it is a thought-provoking finding nonetheless.
After serving as a Captain in the United States Marine Corps, Dr. Gray earned an MBA and a PhD in finance from the University of Chicago where he studied under Nobel Prize Winner Eugene Fama. Next, Wes took an academic job in his wife’s hometown of Philadelphia and worked as a finance professor at Drexel University. Dr. Gray’s interest in bridging the research gap between academia and industry led him to found Alpha Architect, an asset management firm dedicated to an impact mission of empowering investors through education. He is a contributor to multiple industry publications and regularly speaks to professional investor groups across the country. Wes has published multiple academic papers and four books, including Embedded (Naval Institute Press, 2009), Quantitative Value (Wiley, 2012), DIY Financial Advisor (Wiley, 2015), and Quantitative Momentum (Wiley, 2016).
Dr. Gray currently resides in Palmas Del Mar Puerto Rico with his wife and three children. He recently finished the Leadville 100 ultramarathon race and promises to make better life decisions in the future.
Performance figures contained herein are hypothetical, unaudited and prepared by Alpha Architect, LLC; hypothetical results are intended for illustrative purposes only. Past performance is not indicative of future results, which may vary. There is a risk of substantial loss associated with trading stocks, commodities, futures, options and other financial instruments. Full disclosures here.