Litigation and Legal Catalyst Trading
Trading around court rulings, settlements, and regulatory decisions in ongoing lawsuits — events with binary, hard-to-model outcomes that can move a stock sharply overnight.
Companies embroiled in major litigation — a patent dispute, an antitrust case, a mass-tort settlement — carry a chunk of their value tied to an outcome that isn't a gradual business trend but a discrete legal event: a jury verdict, an appellate ruling, or a settlement announcement. Litigation catalyst trading positions around these dates, treating the case much like a binary options bet where the "strike" is the market's implied probability of each outcome baked into the current share price.
The work is less quantitative modeling and more information gathering: reading dockets, tracking oral argument transcripts, watching for settlement talk, and estimating how the stock would reprice under each plausible ruling, then sizing a position based on the gap between that estimate and where the stock trades today.
A worked example
A generic drugmaker faces a patent-invalidity ruling that would let it launch a cheaper competing product years early if it wins. If the market prices the stock assuming a 50% chance of victory, but a trader who has read the case closely believes the odds are closer to 75% based on how oral arguments went, buying the stock ahead of the ruling captures that gap — with the position sized to survive the loss scenario, since a loss could mean the stock reverts sharply if the market's pricing was closer to correct than the trader's read.
Litigation catalyst trades size positions around discrete legal outcomes — verdicts, rulings, settlements — by comparing the market's implied probability of each outcome to an independently researched estimate, much like pricing a binary option on the case.
Related concepts
Further reading
- Moyer, Distressed Debt Analysis, ch. 9