Exergy International · Political Risk Resilience

Liberation Day tariffs · 2 April 2025

Case study · event class: Trade Policy

On 2 April 2025, the U.S. announced sweeping “Liberation Day” tariffs — the broadest trade shock in decades. The “trade-exposed” basket cratered. The question worth asking: would the Political Risk Resilience (PRR) Framework have given you an edge?

You can’t forecast a shock like Liberation Day. But you can carry an expectation into it. The PRR Framework reads how each firm’s value has actually moved across the trade-policy event class — every other tariff action. Leave Liberation Day itself out, and the class still tells you which firms are wired to gain from a tariff shock and which to lose. That’s the read you’d have walked in with.^†

Before the event · what the class led you to expect, and what happened

Liberation Day — expectation vs outcome — Horizontal: what PRR’s read of the trade-policy class led you to expect, set from the *other* tariff events. Vertical: what each firm’s value actually did on Liberation Day.

Liberation Day was an extreme shock — almost the entire trade-exposed basket fell 15–24%, RTX, Glencore, Albemarle and Halliburton among them. PRR did not call the crash; nothing in the class said “everything down 20%.” But the three names the class flagged with the strongest wired-to-gain signal — American Superconductor (grid), Energy Fuels (uranium) and OceanaGold (gold) — were the only ones that rose, +16% to +23%, on the worst tariff day of the era.

The edge wasn’t calling the crash — it was knowing, in advance, which names would be on the right side of it. The PRR Framework would have shown you, before Liberation Day, that the substitution and domestic-supply names (uranium, grid, gold) were your tariff hedge — the class said so from every prior tariff shock of this kind.

Why it matters — the next shock

That is the information gain. PRR can’t tell you when the next tariff escalation lands or how hard. It can tell you what to expect when it does: the domestic-supply and substitution names tend to be the hedge, while trade-exposed commodity and energy-services names take the hit. You carry that read into the next one — which is the whole point.

The full class behind the read

Liberation Day is one event. The expectation rests on the whole trade-policy class, where the basket splits three ways — genuinely hit, looks-exposed-but-held, and quietly benefits. This is the structure the single event is drawn from.

Trade-policy class quadrant — The full trade-policy class: each firm by its observed value response against whether PRR’s read aligns. The quadrants are the read the event is tested against.

The evidence behind the read — for the analyst

Firm	Class expectation (ex-Liberation Day)	On the day (Liberation Day)	Class alignment
American Superconductor	+9.4%	+22.6%	strong (ρ +0.50)
Energy Fuels	+10.7%	+16.3%	moderate (ρ +0.47)
OceanaGold	+5.4%	+17.8%	strong (ρ +0.54)
Albemarle	+4.7%	−21.3%	strong (ρ −0.63)
RTX (Raytheon)	±0.0%	−3.2%	moderate (ρ −0.45)
Glencore	+1.8%	−10.8%	moderate (ρ −0.44)
Halliburton	−1.0%	−22.9%	moderate (ρ −0.44)

† Method (beta, stylized example). A recognizable event chosen to illustrate the edge — not a comprehensive backtest. “Class expectation” is the firm’s mean value response across all other trade-policy events (the focal event left out), 30-day window. “On the day” is the firm’s 30-day market-adjusted (abnormal) return around the event. “Class alignment” (ρ) is whether PRR’s firm read corresponds to which events moved the firm most, across the class. Firm value is measured via cumulative abnormal return (CAR) in beta; additional metrics planned. Exploratory / candidate-stage — association, not established causation. PRR tells you what to expect; it does not forecast.