By |Published On: January 15th, 2013|Categories: Value Investing Research|

Herbalife is currently a highly debated stock. On one side you have Bill Ackman claiming the firm is a ponzi scheme. On the other side you have Dan Loeb buying the stock with open arms.

Who’s right?

One set of tools we describe in our book Quantitative Value, is how to apply statistical tools to identify manipulators, frauds, and/or potential bankruptcies.

“More money…has been stolen with the point of a pen than at the point of a gun.”
— Warren Buffett, Chairman’s Letter, 2000.

Three basic categories of risk for permanent impairment of capital
  1.  Financial Statement Manipulation – financial statements fail to tell the whole truth about a company’s financial health/condition.
  2. Fraud – misrepresentation made that may result in unauthorized benefits to an individual, the firm, or a third party.  Affected by opportunity and pressure.
  3. Financial Distress or Bankruptcy – when a firm has difficulty or cannot meet its obligations to creditors.
Tools actually applied:

What do the quant models say?

As of December 31, 2012, the quant model recommended purchasing Herbalife. The firm is very high quality and became excessively cheap after Ackman came out with his “short news.” My guess is Loeb bought our book over the holidays, read it, and then was determined to buy Herbalife. ;-)

How did the Fraud/Manipulation/Bankrupty models stack up?

  • Accrual measures relative to universe of stocks
    • Accrual Anomaly: 81 percentile
    • Net Operating Asset Anomaly: 18 percentile
    • Average: 49.5% percentile–basically, no issues
  • Manipulation prediction model: Less than a 1% probability of manipulation; no red flags on any single manipulation metric
  • Bankruptcy prediction model: The absolute probability of HLF going bust is low, but HLF scores at around the 89% percentile on this metric relative to the universe analyzed (stocks over $1.4B). This is something to watch, but the absolute probability of this occuring is very low (<1%)

Overall, the statistical results indicate that Loeb’s position is a better bet than Ackman’s position. Of course, this is in reference to the 12/31/2012 HLF stock price. As of yesterday, HLF is no longer included in the quantitative value screen because it has become too expensive.

About the Author: Wesley Gray, PhD

Wesley Gray, PhD
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.

Important Disclosures

For informational and educational purposes only and should not be construed as specific investment, accounting, legal, or tax advice. Certain information is deemed to be reliable, but its accuracy and completeness cannot be guaranteed. Third party information may become outdated or otherwise superseded without notice.  Neither the Securities and Exchange Commission (SEC) nor any other federal or state agency has approved, determined the accuracy, or confirmed the adequacy of this article.

The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. Our full disclosures are available here. Definitions of common statistics used in our analysis are available here (towards the bottom).

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