Quick Squeezes: A 4-Issue Mannequin

Anticipating and using brief squeezes has grown in reputation as an funding tactic lately. The GameStop brief squeeze, galvanized by motivated retail buyers on web message boards, is a vivid instance of this phenomenon. 

The best consequence for a potential short-squeezer is what we’ll name the short-squeeze trifecta: They need to determine the brief squeeze earlier than it occurs, efficiently trip the inventory as its worth soars on the best way up, and bail out earlier than the value falls again right down to earth.

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Shares that find yourself in a brief squeeze are inclined to exhibit two well-known determinants: They’ve excessive brief curiosity and are thinly traded. However do different elements come into play? We puzzled whether or not sure macro circumstances would possibly correlate with larger numbers of brief squeezes or if brief squeezes have been extra frequent particularly sectors.

Our evaluation signifies two extra elements are related to elevated brief squeeze exercise: elevated market uncertainty and speculative applied sciences with yet-to-be-determined long-term worth.

Strict and Free Quick Squeezes

To check brief squeezes over time, we first needed to develop a technique to ascertain whether or not they really passed off. Utilizing knowledge from all publicly listed US firms from 1972 to 2022, we outlined two distinct classes of brief squeezes: “strict” and “free.” A strict brief squeeze is when a inventory’s value rises by 50% to 500% after which falls again right down to between 80% and 120% of its earlier worth in the midst of one month. The identical sample happens in a free squeeze however over two months. 

This method recognized 1,051 strict brief squeezes and 5,969 free brief squeezes throughout the research interval. The outcomes for strict brief squeezes are introduced under. The free methodology demonstrated qualitatively comparable outcomes.


Strict Quick Squeezes by Yr

Chart showing the number of Strict Short Squeezes by Year

The variety of strict brief squeezes diversified significantly over time. A few years had near zero whereas others had greater than 100. The 5 most lively brief squeeze months, normalized by the full variety of modern fairness listings, have been February 2021, Might 2020, October 2008, February 2000, and October 1974.

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Tumultuous Instances

What do all these months have in frequent? They fell amid intervals of utmost market uncertainty. Inflation and COVID-19 infections have been resurgent in February 2021, for instance. In Might 2020, the pandemic had upended life as we all know it. The worldwide monetary disaster (GFC) and the related panic have been in full swing in October 2008. In February 2000, the dot-com bubble was approaching its speculative peak earlier than starting its subsequent downward spiral. Excessive inflation, oil value shocks, and a extreme recession have been all middle stage in October 1974, and the US Federal Reserve would quickly begin slashing rates of interest, prioritizing financial development over lowering inflation. So robust instances for the markets and the bigger financial system are usually good instances for brief squeezes.

But-to-Be-Confirmed Expertise

How did strict brief squeezes fluctuate by sector? They occurred most frequently in biotech, with 20 in 2000 and 23 in 2020. These have been the highest years for brief squeezes for any sector. Software program and computing was the second commonest short-squeezed sector.


Strict Quick Squeezes by Sector

Chart showing Short Squeezes by Sector

The biotech and software program and computing sectors share a heavy reliance on new and infrequently unproven know-how. This makes them extra susceptible to hypothesis, harder to worth, and, as our knowledge present, likelier targets for brief squeezes.

In contrast, the least short-squeezed sectors are railroads, lodging, life insurance coverage. These all have established, properly understood enterprise fashions and little uncertainty round their valuations. They’ve little attraction for potential short-squeezers.

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So to find out whether or not a inventory would possibly change into the goal of a brief squeeze, there are 4 standards to bear in mind: Is the inventory being shorted? Is it thinly traded? Does it depend on unproven know-how? Are macro circumstances particularly unstable?

To make certain, brief squeezes are usually not particularly frequent phenomena, so even when all 4 circumstances apply, the chances of predicting one are nonetheless very lengthy. And as GameStop demonstrates, there are all the time outliers. Furthermore, even when these 4 elements assist determine brief squeezes earlier than they occur, their trajectories — how shortly they crest and crash — will all the time be fraught and unsure. Which is why brief squeezes are waves we shouldn’t stake an excessive amount of on catching and using.

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All posts are the opinion of the creator. As such, they shouldn’t be construed as funding recommendation, nor do the opinions expressed essentially replicate the views of CFA Institute or the creator’s employer.

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Derek Horstmeyer

Derek Horstmeyer is a professor at George Mason College College of Enterprise, specializing in exchange-traded fund (ETF) and mutual fund efficiency. He presently serves as Director of the brand new Monetary Planning and Wealth Administration main at George Mason and based the primary student-managed funding fund at GMU.

Tao Wei

Tao Wei is a senior at George Mason College, pursuing a bachelor’s of science diploma in finance. He’s involved in asset administration, hedge funds, algorithmic buying and selling, and threat administration. He’s presently growing a proprietary automated buying and selling technique. After commencement, he’ll pursue a grasp’s diploma in monetary engineering and the CFA constitution.

Junchen Xia

Junchen Xia is a present senior at George Mason College pursuing a BS in finance. She is a Dean Finance Scholarship Recipient and a Phi Kappa Phi and Honors Program member. With a stable basis in finance and accounting theories and purposes, she is a instructing assistant for monetary administration at George Mason College. She is getting ready for the CFA degree I examination and has actively participated within the CFA Analysis and Ethics Problem. She has expertise in monetary evaluation, modeling, Python, and R. She is involved in pursuing a profession as a monetary analyst.