“Meme Stocks” Bring Risk Management to the Forefront

“Meme Stocks” Bring Risk Management to the Forefront

GameStop Fever History

Unless you’ve been living under a rock over the past month, you likely have witnessed the mania around GameStop (“GME”), thanks in large part to social media darling, Keith Gill, who also is referred to, under his social media aliases, as “Roaring Kitty” and “Deep —-Value”. Gill (in)famously began the trend of purchasing “meme stocks”, which are stocks that are popular among retail investors but may not actually be a legitimate investment, in January 2021 when he began to cultivate a group of followers across his social media accounts to ultimately buy GME under the premise the company still had value amidst its significant short interest (i.e.: a large number of the company’s outstanding shares were sold short) from Hedge Fund managers. The idea would be to squeeze the Hedge Fund managers into covering their short positions, and thus, theoretically driving up GME’s price. Ultimately, it played out as expected for Gill and his followers as the price of GME surged over 1600% for the month of January 2021 from just under $5 per share to over $80 per share.

Source: Bloomberg – GameStop returns from 12/31/2020 through 01/31/2021.

Source: Bloomberg – GameStop prices from 12/31/2020 through 01/31/2021.

Present Day Mania

Of course, the exuberance and price action around the stock fizzled out after January 2021 and began to decline and trade sideways between that point and the middle of May 2024, when Gill re-emerged on social media to illustrate that he began a large call position in GME with a 6/21/24 expiration date. Of course, this re-ignited the enthusiasm in the stock and once again created a short squeeze among Hedge Fund managers who were short the stock as GME’s price increased over 150% from just under $18 per share to over $48 per share in the two trading days following his posts on 5/12/24. As a result, Gill has become the center of attention among the industry, which is no easy feat considering the attention that has been focused on Artificial Intelligence and cryptocurrency.

Source: Bloomberg – GameStop returns from 05/10/2024 through 05/14/2024

Source: Bloomberg – GameStop prices from 05/10/2024 through 05/14/2024

 

How do Meme Stocks relate to overall investing?

As the mania continues and potentially dwindles, it raises interesting concepts – risk management and generating alpha. Investors across all personas are always trying to generate additional return into their portfolios, which is why “meme stocks” can be so tantalizing. In fact, according to a research report published by S&P Dow Jones in April 2020, nearly 90% of equity funds underperformed the S&P 1500 and S&P 500, respectively, over the past 15 years.

 

A conundrum

Therefore, we believe it’s fair to wonder – if professional asset managers struggle to beat traditional equity benchmarks, how is the average advisor or investor supposed to beat those benchmarks? For retail investors, they’ve decided to attempt to make speculative trades around meme stocks. For financial advisors, we have noticed that they’ve used several options overlay strategies to potentailly generate alpha. Both carry certain levels of risk, but what we have noticed is that oftentimes investors do not understand the exact level of risk they’re taking to generate additional return. As we have noticed from the above research, that risk does not produce compounded performance over traditional benchmark indexes.

What’s the solution?

In our estimation, we believe it’s important to adopt tools to specifically monitor and manage risk adjusted returns. This is not to say investors can’t or should not take risks. After all, part of investing involves levels of risk taking. However, investors need to understand how different asset classes and asset types cooperate with each other. In other words, increasing levels of diversification by building asset allocation models has

traditionally been a sustainable solution to crafting optimal portfolio outcomes. Of course, particularly in recent years, correlations across asset classes have diverged from historical norms. Therefore, we believe there are different ways in managing a portfolio. It does not necessarily need to be the traditional approach of region (U.S., ex U.S., emerging markets, etc.) plus asset type (equities, fixed income, commodities, currency, alternatives), but it does require a balance of correlation. To provide some context around balancing a portfolio, we ought to analyze correlations across a few different asset classes. The exercise is intended to exam a standard asset allocation matrix, but it can be applied with single stocks across multiple industries.

20 Year Asset Correlation

Source: Prices from Bloomberg from 6/1/2004 through 05/31/2024. “Large Cap” are prices for iShares S&P 500 ETF (“IVV”), “Mid Cap” are prices for iShares S&P Mid Cap ETF (“IJH”), “Small Cap” are prices for iShares S&P Small Cap ETF (“IJR”), “International Ex U.S.” are prices for iShares MSCI EAFE ETF (“EFA”), “Emerging Markets” are prices for iShares MSCI Emerging Markets ETF (“EEM”), “Short Term Treasuries” are prices for iShares 1-3 Year Treasury Bond ETF (“SHY”), “Intermediate Term Treasuries” are prices for iShares 7-10 Year Treasury Bond ETF (“IEF”), and “Long Term Treasuries” are prices for iShares 20+ Year Treasury Bond ETF (“TLT”).

Source: Prices from Bloomberg from 6/1/2014 through 05/31/2024. “Large Cap” are prices for iShares S&P 500 ETF (“IVV”), “Mid Cap” are prices for iShares S&P Mid Cap ETF (“IJH”), “Small Cap” are prices for iShares S&P Small Cap ETF (“IJR”), “International Ex U.S.” are prices for iShares MSCI EAFE ETF (“EFA”), “Emerging Markets” are prices for iShares MSCI Emerging Markets ETF (“EEM”), “Short Term Treasuries” are prices for iShares 1-3 Year Treasury Bond ETF (“SHY”), “Intermediate Term Treasuries” are prices for iShares 7-10 Year Treasury Bond ETF (“IEF”), and “Long Term Treasuries” are prices for iShares 20+ Year Treasury Bond ETF (“TLT”).

5 Year Asset Correlation

Source: Prices from Bloomberg from 6/1/2019 through 05/31/2024. “Large Cap” are prices for iShares S&P 500 ETF (“IVV”), “Mid Cap” are prices for iShares S&P Mid Cap ETF (“IJH”), “Small Cap” are prices for iShares S&P Small Cap ETF (“IJR”), “International Ex U.S.” are prices for iShares MSCI EAFE ETF (“EFA”), “Emerging Markets” are prices for iShares MSCI Emerging Markets ETF (“EEM”), “Short Term Treasuries” are prices for iShares 1-3 Year Treasury Bond ETF (“SHY”), “Intermediate Term Treasuries” are prices for iShares 7-10 Year Treasury Bond ETF (“IEF”), and “Long Term Treasuries” are prices for iShares 20+ Year Treasury Bond ETF (“TLT”).

 

What does this mean?

As we can see from the correlation matrix, there is significant divergence in correlation as you move along the asset class spectrum (i.e.: equities to fixed income). Further, we notice that correlations have dropped significantly in more recent periods compared to the long-term averages. In fact, we noticed that Emerging Markets have really decoupled themselves from domestic equities. However, the most notable change has been that treasury bonds have recently become negatively correlated with equities. We believe this is largely due to unprecedented monetary policy actions that were undertaken during, through, and in the wake of the COVID-19 pandemic. That said, we believe this divergence

in correlation represents an opportunity for investors to increase their levels of diversity while also taking positions of risk. Again, the above illustration was used to highlight a spectrum of diversification through established asset classes, but that can be across different types of stocks and/or other asset types. That is, we believe if an investor is interested in the prospects of a speculative stock like GameStop or a Cryptocurrency and can make an investment thesis for it, it may be appropriate to add it to their overall investment portfolio, assuming they can pair it against a larger asset allocation model that provides diversified return streams between that asset and the rest of their portfolio in order to manage the level of risk that the investor would be assuming within a particular asset.

Conclusion

Of course, this process can be both difficult to construct and difficult to manage. This is why we believe it is important for investors of any persona to adopt appropriate resources and applications to help construct and manage portfolios to both create diversified return streams and identify opportunities that can help add alpha to an investor’s portfolio. In our opinion, it’s important to not allow market mania to drive your investment decisions, but rather, understand its idiosyncrasies and how it can be used to your portfolio’s advantage.

Disclosure

All discussion regarding GME is for illustrative purposes only.

Not an offer: This document does not constitute advice or a recommendation or offer to sell or a solicitation to deal in any security or financial product. It is provided for information purposes only and on the understanding that the recipient has sufficient knowledge and experience to be able to understand and make their own evaluation of the proposals and services described herein, any risks associated therewith and any related legal, tax, accounting or other material considerations. To the extent that the reader has any questions regarding the applicability of any specific issue discussed above to their specific portfolio or situation, prospective investors are encouraged to consult with the professional advisor of their choosing.

Forward looking statements: Certain information contained herein constitutes “forward-looking statements,” which can be identified by the use of forward-looking terminology such as “may,” “will,” “should,” “expect,” “anticipate,” “project,” “estimate,” “intend,” “continue,” or “believe,” or the negatives thereof or other variations thereon or comparable terminology. Due to various risks and uncertainties, actual events, results or actual performance may differ materially from those reflected or contemplated in such forward-looking statements. Nothing contained herein may be relied upon as a guarantee, promise, assurance or a representation as to the future.

Kevin Battista

VP of Product

Kevin leads Artha’s product, design, and SCRUM teams and his responsibilities include overseeing the strategic vision of Artha, the product roadmap, the end-to-end user experience, as well as the delivery cycles. With 12+ years of experience in product development and product design, Kevin has developed and implemented creative solutions that have solved countless problems within the FinTech community. He’s built software that’s used in the largest financial institutions in the U.S. and has successfully led teams through the product development lifecycle, resulting in multiple acquisitions and exits. Kevin has a B.S. in Finance and Information Technology from Virginia Tech and an MBA from Wake Forest University.

Natallia Sakharuk

VP of Quality Assurance

Natallia is the VP of Quality Assurance at Artha who leads with a commitment to elevating product and service quality across the organization. She possesses a deep understanding of quality methodologies, industry standards, and is recognized for her strategic vision, a data-driven approach to decision-making, and her unwavering dedication to upholding the highest standards of quality in all aspects of the business. With over 8 years of dynamic experience in QA, she successfully orchestrated quality initiatives in FinTech and Corporate Real Estate projects resulting in enhanced product reliability, reduced defects, and increased customer satisfaction. Natallia holds a B.S. in Economics & Logistics from Belarusian State Economic University, a B.A. in Foreign Language from Academy of Postgraduate Education, is certified by ISTQB (International Software Testing Qualifications Board), and she has continued to stay at the forefront of industry advancements by attending workshops, seminars, and conferences.

As a trusted leader, Natallia is poised to drive Artha’s quality assurance initiatives to new heights, ensuring a lasting impact on both customer satisfaction and business growth.

Alexandre Junges

VP of Engineering

Alexandre leads Artha’s development team, collaborating closely with developers and software engineers to architect and construct a robust application that aligns with business requirements, prioritizing security, performance, and scalability. A fervent technology enthusiast, Alexandre is committed to enriching lives through innovative solutions. With over a decade of experience in application development spanning diverse industries, he holds a B. Tech. in Analysis and Systems Development from Unisinos, a Project Specialization from UFRGS (both universities in Brazil), and he is a Certified Microsoft Professional.

Justin Lowry

President And Chief Investment Officer

Justin Lowry is the President and Chief Investment Officer of Global Beta Advisors. Justin’s responsibilities include the oversight of investment activity, market research, and product development at Global Beta Advisors. Justin joined the firm as an executive member upon its foundation. Prior to working at Global Beta Advisors, Justin worked at Oppenheimer Funds as Head of Research and Product Development for its Beta Solutions exchange-traded fund business from 2015 until 2017, which at the time, held over $2 billion in assets in the Revenue Shares ETF suite. One of the cornerstone ETFs in the business, RDIV, won the ETF Innovation “Smart Beta ETF of the Year” award (Click here for more information about the award, contestants, and its qualifications). From 2010 until 2015, Justin served as CIO for Index Management Solutions, a subsidiary of VTL Associates, where he served as a subadvisor, providing custom portfolio solutions, portfolio management, and trading services to many ETF issuers that summed to $2 billion in management. Those funds included the Revenue Shares ETFs, KraneShares China ETFs, and several ETF issuers who launched their funds through Exchange Traded Concepts. Prior to the inception of Index Management Solutions, Justin worked as an analyst at VTL Associates since 2008. Justin earned his B.S. in Business Management from Saint Joseph’s University.

Vince Lowry

CHAIRMAN

Mr. Vincent Thomas Lowry, also known as Vince, is the Chief Executive Officer of Global Beta Advisors. Prior to founding Global Beta Advisors, Vince was a managing director with Citigroup’s Smith Barney consulting group from 1984 until 2004. Vince started VTL Associates in 2004. It was at VTL where Vince used his experience developing global assets allocation models to create a family of revenue weighted exchange traded funds in conjunction with Standard and Poor’s. In 2015, VTL merged with Oppenheimer Funds, and Vince was the lead portfolio manager until August 2017. Vince then founded Global Beta Advisors in 2017. Vince holds a Bachelor of Science degree in Political Science and earned his MBA from St. Joseph’s University.