geopolitical-risk

name geopolitical-risk description Geopolitical risk analysis: quantify crisis signals, identify precursors, and build event-driven strategies for war, sanctions, and supply disruption scenarios. category tool Geopolitical Risk Analysis Overview Quantify geopolitical risk signals, identify crisis precursors, and build event-driven strategies that convert narratives such as "war / conflict / sanctions / supply disruption" into actionable multi-asset allocation decisions. Core Analytical Framework 1. Risk Layering Model Layer 1: Structural risk (long-lasting, slow-moving) └── Great-power rivalry, alliance structures, nuclear deterrence balance Layer 2: Situational risk (cyclical escalation, monthly / quarterly scale) └── Military exercises, election cycles, sanctions escalation, diplomatic friction Layer 3: Event risk (sudden shocks, daily / hourly scale) └── Military action, assassination, sanctions announcements, nuclear tests 2. Five Dimensions of Risk Assessment Dimension Description Quantitative Proxy Intensity Severity of conflict / sanctions GPR Index percentile Persistence Expected duration of the crisis Futures curve contango / backwardation Transmission Spillover into supply chains / finance CDS spread widening, VIX jump magnitude Predictability Whether the event is already priced in Option implied volatility skew Reversibility Whether the situation can be resolved through negotiation Speed of reversal in news sentiment Monitoring the Six Major Global Geopolitical Hotspots 1. Strait of Hormuz — Oil Transport Chokepoint Strategic significance Roughly 20% of global oil supply (about 17 million barrels/day) and 20% of LNG passes through it Iran has the ability to disrupt the strait through mines, naval assets, and shore-based missiles It is the only export route for Gulf states such as Saudi Arabia, the UAE, Kuwait, and Iraq Risk triggers Escalation in U.S.-Iran tensions, such as failed nuclear talks or tighter sanctions Tankers being seized or attacked Iranian blockade drills during military exercises Key monitoring indicators # Proxy indicators - Brent-WTI spread widening (signal of regional supply stress) - Persian Gulf tanker insurance rates (Lloyd 's H&M quotes) - UAE dirham NDF (depreciates under stress) - Israeli shekel volatility - Relative strength of VanEck Oil Services ETF (OIH) vs XLE Asset impact direction Bullish: crude oil, LNG, shipping stocks (BDRY/FRO), defense stocks (LMT/RTX) Bearish: airlines (DAL/UAL), petrochemical refiners, emerging-market importers such as INR and KRW 2. Taiwan Strait — Core of the Semiconductor Supply Chain Strategic significance TSMC accounts for roughly 90% of global advanced-node capacity below 5nm Taiwan produces about 65% of the world's semiconductors It sits on the main southbound route linking Northeast Asia and Southeast Asia Risk triggers Larger-scale Chinese military exercises, especially blockade drills U.S. arms sales to Taiwan or high-level official visits Major policy changes in cross-strait relations Key monitoring indicators # Proxy indicators - Abnormal weakness in the Philadelphia Semiconductor Index (SOX) - TSM ADR (TSM) premium / discount in the U.S. market - Taiwan CDS spreads - TWD NDF depreciation under stress - KOSPI, given Korea 's semiconductor linkage - U.S.-listed Chinese ADRs / Hong Kong Hang Seng Tech Index Asset impact direction Bullish: Intel / GlobalFoundries as substitute capacity providers, defense stocks, JPY as a haven Bearish: Apple / NVIDIA / AMD / Qualcomm as TSMC clients, TSM ADR, Samsung Electronics Extreme scenario: global semiconductor shortage leading to collapse across auto and consumer-electronics supply chains Supply chain substitution timeline 3-6 months: inventory drawdown, sharp price spikes 6-18 months: partial substitution by Samsung / Intel IDM advanced capacity 2-4 years: ramp-up from TSMC Arizona and Kumamoto Japan 5+ years: Mainland China's independent advanced process catch-up, with major uncertainty 3. Red Sea / Suez Canal — Europe-Asia Trade Artery Strategic significance The Suez Canal carries about 12% of global trade volume and 30% of container shipping The alternative route around the Cape of Good Hope adds 10-14 days and raises cost by 15-25% Houthi forces in Yemen threaten the Bab el-Mandeb chokepoint Risk triggers (already validated by the 2024 Houthi attacks) Intensified attacks on merchant vessels by Houthi forces Israel-Gaza escalation spilling across the region Political instability in Eritrea or Somalia Key monitoring indicators # Proxy indicators - Daily changes in the Baltic Dry Index (BDI) - SCFI Shanghai Containerized Freight Index - Share prices of Maersk and other container shipping companies - Share of AIS-tracked vessels rerouting via the Cape of Good Hope (> 30 % is high alert) - European TTF natural gas prices, given Red Sea LNG exposure Asset impact direction Bullish: shipping stocks (ZIM/MAERSK/COSCO), tankers rerouting around the Cape (FRO/STNG) Bearish: European manufacturers facing supply-chain delays, inflation-sensitive sectors Lag effect: higher freight rates → higher global CPI → tighter rate expectations 4. Russia-Ukraine Conflict — Energy and Food Security Strategic significance Russia is the world's largest natural gas exporter and second-largest crude exporter Ukraine is a major global grain exporter (wheat / corn / sunflower oil) The war has already driven a permanent restructuring of Europe's energy mix Ongoing risk points Escalation in nuclear rhetoric, a major tail-risk driver Sanctions expanding to third parties, forcing countries like China and India to choose sides Continued attacks on Ukrainian infrastructure such as the power grid and ports Key monitoring indicators # Proxy indicators - European TTF natural gas futures - Ukrainian sovereign CDS spreads - RUB/USD exchange rate under sanctions pressure - Chicago wheat futures (ZW) - European power prices, e.g. Germany EEX Baseload - Russian ETF trading status (RSX liquidated; use substitutes) Sanctions transmission-chain analysis Sanctions announcement ├── Financial sanctions → SWIFT cutoff → cross-border settlement disruption → emerging-market debt crisis ├── Energy sanctions → European gas spike → industrial energy costs → eurozone recession ├── Export controls → Russia semiconductor / military shortages → weaker war sustainability └── Grain blockade → Middle East / Africa food stress → political instability → migration pressure 5. South China Sea — Shipping Lanes and Rare-Earth Competition Strategic significance Around one-third of global trade value, roughly USD 3.4 trillion annually, passes through the South China Sea China controls about 60% of global rare-earth supply, even more in refining Territorial frictions between China and the Philippines / Vietnam persist Risk triggers China declaring an Air Defense Identification Zone (ADIZ) Clashes around flashpoints such as Sabina Shoal or Scarborough Shoal Rare-earth export bans or quota cuts as a technology retaliation tool against the U.S. Key monitoring indicators # Proxy indicators - Chinese rare-earth futures prices (permanent magnets / praseodymium-neodymium oxide) - Philippine peso volatility - Vietnam industrial park REITs / ETFs - MP Materials (MP) share price as a substitute rare-earth beneficiary - Share prices of Chinese shipping companies Asset impact direction Bullish: rare-earth miners such as MP Materials and Australia's Lynas, Japanese trading houses with inventories Bearish: EV / permanent-magnet motor supply chains, Chinese ADRs 6. Korean Peninsula — Regional Security Shock Source Strategic significance North Korea possesses nuclear weapons and ICBMs, making it a non-trivial tail risk Strategic cooperation among China, Russia, and North Korea has deepened, including artillery supply during the Russia-Ukraine war South Korea is a major global exporter of semiconductors, shipbuilding, and autos Risk triggers Nuclear or missile tests, especially ICBM launches North Korea announcing strategic changes such as "nuclear sharing" Political crises in South Korea affecting U.S. force deployment Key monitoring indicators # Proxy indicators - KRW/USD volatility spike - KOSPI decline - South Korean CDS spreads - JPY safe-haven inflows (JPY/USD strength) - ADR prices of Samsung / SK Hynix Quantitative Framework for Geopolitical Risk GPR Index (Caldara & Iacoviello) Definition and source Built by Fed economists Dario Caldara and Matteo Iacoviello Computed from war / terror / military-related word frequency in major newspapers globally Monthly data back to 1900, covering global and country-specific series Official data: https://www.matteoiacoviello.com/gpr.htm Index taxonomy GPR: overall geopolitical risk GPRT: geopolitical threats (forward-looking) GPRA: geopolitical acts (events already realized) GPR_country: country-level sub-index Python example import pandas as pd import requests def load_gpr_index (): """Load the official GPR Index data. Returns: pd.DataFrame: Monthly GPR data with columns such as GPR, GPRT, and GPRA. """ url = "https://www.matteoiacoviello.com/gpr_files/data_gpr_export.xls" df = pd.read_excel(url, index_col= 0 , parse_dates= True ) return df def gpr_signal ( df, window= 12 , threshold= 1.5 ): """Generate abnormal GPR signals. Args: df: DataFrame containing GPR data window: Rolling mean window in months threshold: Z-score trigger threshold in standard deviations Returns: pd.Series: Boolean signal where True means high-risk state """ gpr = df[ "GPR" ] rolling_mean = gpr.rolling(window).mean() rolling_std = gpr.rolling(window).std() z_score = (gpr - rolling_mean) / rolling_std return z_score > threshold Calculating War Risk Premiums Oil war premium def oil_war_premium ( spot_price, mean_5y_price, supply_disruption_prob, disruption_magnitude_pct ): """Estimate the war-risk premium embedded in crude oil. Method: A simplified model based on expected supply-disruption value. Args: spot_price: Current spot price in USD/bbl mean_5y_price: Five-year average price as the "no-risk" baseline supply_disruption_prob: Probability of supply disruption in [0, 1] disruption_magnitude_pct: Price impact of disruption in [0, 1] Returns: float: Estimated war premium in USD/bbl """ expected_disruption_premium = ( mean_5y_price * disruption_magnitude_pct * supply_disruption_prob ) observed_premium = spot_price - mean_5y_price return max ( 0 , min (observed_premium, expected_disruption_premium)) Gold safe-haven premium def gold_geopolitical_premium ( gold_price, real_yield_10y, usd_index ): """Decompose the geopolitical premium component in gold prices. Args: gold_price: Spot gold price in USD/oz real_yield_10y: 10-year real yield in percent usd_index: DXY index Returns: float: Geopolitical premium as the residual component """ import numpy as np # Gold fundamentals: real rates (negative) + USD (negative) # Linear approximation: # Gold ≈ α - β1*RealYield - β2*DXY + ε (geopolitical premium) # β1 ≈ 800, β2 ≈ 15 are rough historical estimates that should be updated fundamental_value = 2000 - 800 * real_yield_10y - 15 * (usd_index - 100 ) return gold_price - fundamental_value Supply-Chain Disruption Probability Assessment Bayesian update framework def update_disruption_probability ( prior_prob, new_event_severity, base_rate= 0.05 ): """Update supply-chain disruption probability using a new event. This is a simplified Bayesian update that adjusts the prior using the severity of the new event. Args: prior_prob: Prior disruption probability new_event_severity: Event severity in [0, 1] 0.0 = diplomatic friction 0.3 = military standoff 0.6 = local conflict 1.0 = full-scale war base_rate: Historical annualized baseline disruption rate Returns: float: Updated disruption probability """ # Likelihood ratio: how much more likely the event is before a real disruption # than in a non-disruption state likelihood_ratio = 1 + 9 * new_event_severity # 1x ~ 10x posterior = (prior_prob * likelihood_ratio) / ( prior_prob * likelihood_ratio + ( 1 - prior_prob) ) return posterior Quantifying Sanctions Transmission Chains Sanctions intensity scorecard Sanction Type Intensity Score Typical Asset Shock Expected Duration Targeted sanctions on people / entities 1-2 <0.5% Short-lived Sector-level export controls 3-4 1-3% Several months SWIFT cutoff 7-8 5-15% Long-lasting Full-scale economic sanctions 9-10 10-30% Structural Oil embargo 8-9 Crude +10-30% Medium-term Asset-Class Impact Mapping Energy Asset Hormuz Russia-Ukraine Red Sea Notes Brent crude +++ shock ++ persistent + mild Primary geopolitical-risk asset WTI crude ++ shock ++ persistent + mild Widens against Brent Europe TTF gas ++ +++ + Cost of replacing Russian gas LNG futures +++ ++ ++ Red Sea disruption matters for Asian LNG Relevant ETFs XLE, OIH, UNG Precious Metals (Safe Haven Function) Gold (GLD/GC): geopolitical shock → immediate rally, but persistence depends on real-rate direction Silver (SLV/SI): industrial exposure dilutes safe-haven behavior and raises volatility Palladium / platinum: Russia is a major producer, so sanctions hit supply directly Empirical patterns (2001-2024) A 1-standard-deviation rise in GPR implies about +1.2% expected gold return over a 1-month window On day one of major shocks such as Pearl Harbor, 9/11, or Russia-Ukraine, gold rose roughly 3-8% Within 60 days, around 50-70% of the geopolitical premium mean-reverts Agriculture Asset Russia-Ukraine Conflict South China Sea Blockade Driver Wheat (ZW) +++ + Russia + Ukraine account for about 30% of exports Corn (ZC) ++ + Ukraine is a major exporter Sunflower oil +++ - Ukraine accounts for roughly 50% globally Soybeans (ZS) + + China import demand Semiconductors / Technology Estimated impact under a Taiwan Strait crisis: - Mild military tension (drills): SOX -5% to -10% - Blockade drill (1 month): SOX -15% to -25% - Actual military conflict: SOX -40% to -60% (no true historical analogue) Beneficiaries through substitution: - Intel (INTC): IDM model with U.S.-based capacity - GlobalFoundries (GFS): U.S. / Europe / Singapore capacity - Samsung, though Korea itself is also a geopolitical risk zone Shipping / Logistics Key ETFs and stocks: - BDRY: bulk-shipping freight ETF tracking BDI, highly sensitive to Red Sea / Hormuz shocks - ZIM: Israeli container shipper, directly exposed to Red Sea risk - FRO (Frontline): tanker beneficiary of Hormuz risk - STNG (Scorpio Tankers): benefits from rerouting around the Red Sea - MAERSK.B: container-shipping leader that benefits from freight spikes during crises Defense U.S. defense ETFs: ITA (iShares), XAR (SPDR) Single-stock beneficiaries of geopolitical risk: - LMT (Lockheed Martin): F-35, missile systems - RTX (Raytheon): air-defense systems such as Patriot - NOC (Northrop Grumman): B-21 bomber, nuclear systems - BA (Boeing): military exposure, though commercial aviation can be hurt by geopolitics Historical pattern: Higher geopolitical risk → faster defense budget approvals → effect shows up with a 6-12 month lag FX (Safe-Haven Currencies) Capital flows during crises: Risk currencies (AUD/NZD/MXN/KRW/BRL) → outflows Safe-haven currencies (JPY/CHF/USD) ← inflows JPY: - Net-creditor-nation status + repatriation effect