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Supply chain cascade patterns are among the most reliable and exploitable inefficiencies in financial markets. When a sector leader reports earnings, the information takes days to fully propagate through its network of suppliers, customers, and competitors.

What Is a Cascade?

A cascade occurs when new information about one company creates predictable price movements in related companies with a measurable time delay. Unlike simple correlation, cascades follow a directional chain with decreasing speed and magnitude as they move further from the source.

The Anatomy of a Cascade

Every cascade has four stages. The leader moves first, typically gapping on earnings. First followers - usually the closest suppliers or customers - react within 0-1 trading days. Mid-chain companies adjust over 1-3 days as analysts update models. Late movers, often small-caps or tangentially related names, take 3-10 days.

Why Cascades Persist

Market efficiency theory suggests cascades should not exist. Three structural factors explain their persistence. First, analyst coverage is siloed by sector - the semiconductor analyst may not immediately update defense models. Second, institutional mandate restrictions prevent cross-sector trading. Third, information processing takes time, especially for second and third-order effects.

Measuring Cascade Strength

We track cascade reliability across 50+ historical events. The strongest cascades occur in semiconductors (80%+ hit rate) due to tight supply chain linkages and quarterly reporting cadence. Defense cascades are weaker (60-70%) due to longer procurement cycles. Pharma cascades are binary and depend heavily on clinical data outcomes.

Building a Cascade Watchlist

1. Map the supply chain for each sector leader

2. Rank downstream companies by historical cascade sensitivity

3. Set earnings alerts for all leaders

4. Prepare position sizing and entry criteria before earnings

5. Execute within the cascade window (1-5 days post-leader earnings)

Risk Management

Not every leader move cascades. False signals occur when the leader's surprise is company-specific (e.g., an accounting issue) rather than sector-wide (e.g., demand strength). Always verify that the leader's signal has supply chain implications before trading the cascade.