Short-Selling Research Projects for Students

Short-Selling Research Projects for Students

The short side is underexplored in student work, which makes it fertile ground. Here are approachable studies with real, obtainable data.

Why the Short Side Is Good Project Territory

Most student projects test long-only signals, which means the short side is comparatively underexplored and a project there stands out. It is also conceptually rich, because short outcomes are often driven by forced supply, mechanical selling, and structural underperformance rather than by simple mispricing. That gives a student project a clear economic story to tell, and the case for the short side is laid out in Systematic Event-Driven Trading.

The practical appeal is that many short catalysts are disclosed in public filings, so the data is obtainable without proprietary feeds, provided you handle survivorship and timing correctly.

Approachable Studies With Real Data

Dilution-driven shorts. Study returns after dilutive equity offerings, using dated filing events. Lock-up expirations. Examine drift around the date insiders can first sell. De-SPAC underperformance. Analyze post-merger drift among names that are prone to failure, an end-to-end version of which is in our data-driven approach to shorting de-SPACs. The workflow for finding names is in our guide to finding stocks to short sell with data.

Each topic has a clear catalyst, obtainable event dates, and a documented mechanism, which makes it tractable for a term project rather than an open-ended research program.

What These Projects Require

The data sources behind these studies are mapped in our guide to market data sources for systematic short-selling research, and the recurring care is including delisted names and dating events correctly.

Getting the Catalyst Data

The catalysts behind short studies live in filings, and turning them into dated, machine-readable events is the main data task. Alphanume's dilution events dataset does this for financing events, and the historical market cap dataset adds point-in-time size, so a student can build a credible short-side study without scraping filings by hand.

Scoping a Short Study for a Term

To keep a short-side project finishable, bound it tightly. Pick one catalyst, such as dilutive offerings, fix a single event window, choose a defined universe and time period, and decide your delisting and cost rules in advance. That turns an open-ended interest in short selling into a study you can complete in a term, with each scope decision tied to a specific data requirement you can satisfy.

The discipline of scoping is also what makes the result interpretable. A narrow, well-defined short study with honest data says something clear, whereas a sprawling one usually says something muddled, and graders reward the former.

Handling the Short-Side Realities

Short studies carry frictions that long-only projects can ignore, and addressing them is part of what makes the work credible. Borrow can be expensive or unavailable, squeezes can invert a thesis, and the names involved are often small and illiquid. A strong student project acknowledges these realities and models borrow costs explicitly rather than assuming frictionless shorting, which is a common giveaway of an inexperienced backtest.

Treating the frictions seriously also makes the result more honest. A dilution short that still works after realistic borrow costs is a far stronger finding than one that only works on paper, and showing that distinction is exactly the kind of judgment a reviewer rewards.

How to Choose

Pick a short catalyst with a clear mechanism and obtainable dates. Study dilution, lock-ups, or de-SPACs with a survivorship-free, point-in-time dataset, and include the names that failed. The short side is underexplored in student work, and a careful study there is both distinctive and genuinely informative.