Manliness implies Misreporting?

///Manliness implies Misreporting?

Manliness implies Misreporting?

By | 2017-01-18T14:02:18+00:00 January 30th, 2015|Research Insights|4 Comments
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(Last Updated On: January 18, 2017)

Masculinity, Testosterone, and Financial Misreporting

Abstract:

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.

Alpha Highlight:

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.

2014-12-05 14_45_41-Testosterone and Financial Misreporting.pdf - Adobe Reader

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.

2014-12-05 15_05_32-Testosterone and Financial Misreporting.pdf - Adobe Reader

Click to enlarge.

Key Findings:

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)

2014-12-05 13_45_30-Testosterone and Financial Misreporting.pdf - Adobe Reader

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.

Conclusions

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.


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About the Author:

After serving as a Captain in the United States Marine Corps, Dr. Gray earned a PhD, 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 that delivers affordable active exposures for tax-sensitive investors. Dr. Gray has published four books and a number of academic articles. Wes is a regular contributor to multiple industry outlets, to include the following: Wall Street Journal, Forbes, ETF.com, and the CFA Institute. Dr. Gray earned an MBA and a PhD in finance from the University of Chicago and graduated magna cum laude with a BS from The Wharton School of the University of Pennsylvania.