Goldman Traders Map Iran Conflict Scenarios, Urge Clients to Cut Equity Exposure

Tony Pasquariello, Goldman Sachs's partner and global head of hedge fund coverage, told clients to reduce gross equity exposure and favor liquidity last week as the firm's trading desks mapped Iran conflict scenarios rather than committing to a single base case.

The backdrop justifies the caution. Goldman's commodity strategist Daan Struyven characterized the Hormuz disruption as the largest oil supply shock in history, surpassing the 1973 OPEC embargo, which interrupted roughly 7% of global supply, compared with approximately 20% at stake today. Vessel-count data confirms a 94% collapse in Hormuz transits since US and Israeli strikes on Iranian facilities, and Goldman raised its Brent crude forecast to $115 per barrel for April, a target the firm revised upward twice in two weeks, a cadence it described as extremely rare.

Pasquariello identified three distinct endpoints for clients to weigh: "mission accomplished" headlines signaling a rapid conclusion, a 45-day ceasefire that pauses hostilities without resolving them, and a "boots-on-the-ground" escalation into a prolonged ground campaign. He told clients the desks have no high-confidence edge on the probabilities across those paths and recommended they "manage your gross equity exposure down" while holding highly liquid securities. Clients seeking directional upside were steered toward call spreads rather than outright long positions.

The transmission channels from each scenario are becoming clearer to traders. Oil has absorbed the most visible shock: the $14-per-barrel geopolitical risk premium Goldman estimated in early March has since been eclipsed by actual price action, with Brent breaching $100 following Trump's April 1 primetime address after prices had briefly retreated on short-lived de-escalation hopes. The rate channel compounds the pressure, with several forecasters projecting 2026 inflation running near 3%, constraining the Fed's room for cuts and keeping Treasury yields elevated. On the equity side, Goldman's trading desk noted that commodity trading advisers sold roughly $48 billion in S&P 500 futures over the past month, a mechanical deleveraging that amplifies volatility independent of which scenario ultimately resolves.

Three signposts are anchoring traders' scenario monitoring: the pace of shipping resumption through Hormuz, the threshold at which missile exchanges signal an imminent ground campaign, and US policy posture on ceasefire negotiations. The speed at which those inputs shift will dictate how long current positioning recommendations hold.

Sector rotation logic tracks the endpoints directly. A ceasefire-driven everything-rally would favor consumer cyclicals and small caps. A risk-off escalation path redirects positioning toward miners and gold. Energy, counterintuitively, underperforms a de-escalation scenario as the geopolitical premium embedded in crude prices deflates. JPMorgan took a parallel but structurally distinct approach, constructing three scenarios labeled bullish, bearish, and status quo, grounding the analysis in directional market calls rather than geopolitical endpoint definitions.

For Goldman's own employees, none of this is abstract. Trading desk personnel are translating each scenario into live hedges and liquidity provision on compressed timelines. Coverage and capital markets teams must recalibrate IPO windows and block trade sequencing against sustained headline risk. Prime brokerage and exotics desks face volume pressure if volatility spikes further. For analysts and associates on the floor, the immediate reality is longer monitoring shifts, intensified scenario analysis, and compensation outcomes that will track closely to whether the desk captures spread during elevated volatility or absorbs losses from wrong-way positioning. Wall Street trading desks collectively were already tracking toward a record $18 billion equities haul for the first quarter, more than double the aggregate from a decade ago. Getting the scenario right from here will determine how that pool distributes.