WARGAME — STRATEGIC SCENARIO

Geopolitical Escalation: JPMorgan

Document Classification: CONFIDENTIAL — Client Deliverable
Product Tier: F3 — Strategic Intelligence (W04 Wargaming Engine)
Report ID: WG-2026-08-GEOP-001
Date: August 25, 2026
Target: JPMorgan (gleif_entity)
Engine: WorldDuplicate 1000-branch Monte Carlo v3.1.0

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EXECUTIVE SUMMARY

JPMorgan faces a Geopolitical Escalation scenario with a baseline Forreast Score of 50/100. A 500-branch Monte Carlo simulation converges to a mean of 57.7 (σ 15.9), with P(critical) = 7.8% and P(high) = 40.6%.

Convergence analysis (Gelman-Rubin R-hat = 1.002 across 4 chains) confirms the distribution is CONVERGED — stable. 5th-percentile tail risk: 31.7. System phase: fluctuation (near equilibrium — moderate fluctuation).

Red/Blue/Green adversarial debate verdict: CONTINGENCY REQUIRED (net risk 62.5). Consensus: CONTINGENCY REQUIRED. Net risk after Red-Blue-Green debate: 62.5. Red impact (12.0) vs Blue mitigation (7.2) → Red dominates. Green observes.

Data basis: 57 real signals from the live intelligence stream (avg severity 0.78), sources: courtlistener, searxng.

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SCENARIO PARAMETERS

Parameter	Value	Source
Scenario	Geopolitical Escalation	Forreast scenario library
Branches	500	WorldDuplicate Monte Carlo
Base score	50/100	Forreast Score (live)
Volatility	17.4pt	signal-derived
Signal shock	7.8pt	live signals
P(critical)	7.8%	Monte Carlo
Tail risk (P5)	31.7	Monte Carlo
R-hat	1.002 (converged)	4-chain Gelman-Rubin
Elapsed	0.349s	engine timing

Factor scores (from real signal mix where present):

Factor	Score (0-100)
currency_volatility	77.0
sovereign_risk	53.0
diplomatic_standing	42.0
trade_corridor_exposure	40.0

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MONTE CARLO DISTRIBUTION

Statistic	Value
Mean	57.68
Median	57.84
Std	15.92
Min / Max	11.1 / 100.0
P5 / P25 / P75 / P95	31.7 / 47.4 / 68.0 / 84.6
P(critical ≥81)	7.8%
P(high ≥61)	40.6%
P(significant ≥41)	85.8%
Tail risk (P5)	31.7

Convergence: R-hat = 1.0025 across 4 chains × 200 branches. CONVERGED — results are stable.

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RED / BLUE / GREEN ADVERSARIAL DEBATE

Red Team (Adversary)

Attack vector: tariff_escalation (exploits `trade_corridor_exposure`, impact 12.0pt)

Red Team assesses that JPMorgan's 'trade_corridor_exposure' factor (score: 40) is the critical vulnerability. Attack vector: tariff_escalation. Projected impact: 12.0 point degradation. Monte Carlo shows P(critical) = 7.8%, tail risk at 5th percentile = 31.7. Recommend aggressive exploitation of this axis.

Blue Team (Client Defense)

Intervention: supply_chain_decoupling (mitigation 7.2pt)

Blue Team counters: apply 'supply_chain_decoupling' (effect: -0.18) to harden 'trade_corridor_exposure'. Projected mitigation: 7.2 points. Defense capability: supply_decoupling. Post-intervention Monte Carlo mean shifts from 57.7 to est. 39.7. Recommend immediate pre-positioning.

Green Team (Neutral / Exogenous)

Exogenous event: neutral_mediation (intervention probability 32%)

Green Team evaluates: exogenous event 'neutral_mediation' has 32% probability of materializing. No immediate green intervention. Balance assessment: 57.7 mean with 15.9 std. System in disequilibrium.

Move-by-Move (3 turns)

Turn	Red action	Blue response	Green reaction	ΔScore
1	trade_blockade	diplomatic_outreach	alliance_support	-3.8
2	trade_blockade	supply_decoupling	WTO_arbitration	+2.0
3	tariff_escalation	currency_hedge	neutral_mediation	-2.0

Consensus: CONTINGENCY REQUIRED

Consensus: CONTINGENCY REQUIRED. Net risk after Red-Blue-Green debate: 62.5. Red impact (12.0) vs Blue mitigation (7.2) → Red dominates. Green observes.

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SENSITIVITY ANALYSIS (TORNADO)

Variable	Swing (pts)	Low → High
base_score	39.2	30 → 70 (36.7 → 75.9)
signal_shock	10.6	2.7929824561403516 → 12.79298245614035 (53.3 → 63.8)
volatility	1.8	13.013684210526318 → 26.027368421052635 (57.1 → 59.0)

Most sensitive variable: base_score (swing: 39.2 points). Model stability: UNSTABLE — high parameter sensitivity.

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SYSTEM DYNAMICS (STOCK/FLOW)

Final risk: 37.5 (initial 50) over 100 steps

Signals detected: 9 | Interventions applied: 9

Detection efficiency: 9.0% | Intervention efficiency: 100.0%

Equilibrium risk: 35.0

System dynamics: risk decreased from 50 to 37.5 over 100 steps. Detection rate: 9.0%. Intervention rate: 100.0%.

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ABNORMALITY DETECTION & BALANCE

Abnormality: Simulation diverges from reality by 7.7 points (0.5σ). Normal — model aligns with reality.

Balance: near equilibrium — moderate fluctuation (phase: fluctuation)

Meadows leverage points:

Leverage point	Level	Effect
Constants and parameters	12	Adjust signal thresholds and alert sensitivity.
Feedback loop delays	9	Reduce time between signal detection and response.
Structure of material flows	5	Redesign information flow between INT disciplines.
Rules of the system	3	Change authority levels and escalation triggers.
Goal of the system	1	Reframe from 'monitoring' to 'anticipatory positioning'.

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AGENT-BASED CASCADE (ABM)

- Agents: 50	Mean health: 0.134 (σ 0.170)
- Cascade events: 45	Target agent health: 0.000

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6-DIMENSION RISK SCORECARD

Dimension	Score (1-5)	Rationale
Exposure	4	Simulation std 15.9pt across 500 branches
Velocity	5	Geopolitical Escalation propagates in days-to-weeks
Severity	4	P(critical) 7.8%
Confidence	4	57 real signals underpinning the run
Reversibility	3	Interventions (scenario library) can reduce net risk
Contagion	4	P(high) 40.6% — cascade risk via ABM: 45 events
Composite Risk	24/30 — CRITICAL	Mean 57.7, σ 15.9, P(crit) 7.8%

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RECOMMENDED ACTIONS

Intervention ladder (by impact):

- `supply_chain_decoupling` — effect -0.18 on factor scores - `diplomatic_engagement` — effect -0.15 on factor scores - `hedge_currency` — effect -0.12 on factor scores - `do_nothing` — effect +0.00 on factor scores

Blue Team priority: deploy `supply_chain_decoupling` with 7.2pt expected mitigation.

Model driver: `base_score` dominates outcomes (swing 39.2pt) — monitor it first.

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FALSIFICATION CONDITIONS

If the observed Forreast Score of JPMorgan stays within 1σ of the simulated mean (57.7 ± 15.9) for 90 days, the model's predictive value is confirmed.

If R-hat exceeds 1.1 on the next run, the branch count (500) must be increased.

If real signal volume drops to zero and the run falls back to name-hash factors, the report is a hypothesis, not an evidence-based assessment — re-run after signal recovery.

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Generated by Forreast Intelligence — WorldDuplicate 1000-branch wargaming engine. Montis Sapientia, Fluminis Vis.