Introduction to Geopolitics
Learning Objectives Coverage
LO1: Describe geopolitics from a cooperation versus competition perspective
Core Concept
Geopolitics is the study of how geography affects politics and international relations, examining how state and non-state actors interact based on national interests. Understanding cooperation-versus-competition dynamics helps investors predict policy changes, trade flows, and investment risks across jurisdictions — skills that feed directly into portfolio management decisions. The hierarchy of interests runs from survival needs through economic interests to cultural preferences, and the key actors are both state (governments) and non-state (corporations, NGOs). macro
Formulas & Calculations
- Cooperation-Competition Spectrum: Not mathematical but conceptual framework
- Cooperation Index = (Standardization + Open Borders + Technology Transfer + Information Flow) / 4
- Where each factor scores 0-1 (0 = non-cooperative, 1 = fully cooperative)
- HP 12C steps: N/A for this conceptual framework
- Common variations: Can weight factors differently based on importance
Practical Examples
- Traditional Finance Example: EU single market represents high cooperation (common regulations, free movement, shared currency), while US-China trade war represents competition (tariffs, technology restrictions, currency disputes)
- Calculation walkthrough: Country A scores: Standardization (0.8), Open Borders (0.6), Tech Transfer (0.4), Info Flow (0.7) = Cooperation Index of 0.625
- Interpretation: Score above 0.5 suggests cooperative stance favorable for cross-border investment
DeFi Application
- Protocol example: Uniswap V3 implementing concentrated liquidity across multiple chains (Ethereum, Polygon, Arbitrum) demonstrates protocol-level cooperation defi-application
- Implementation: Cross-chain bridges and common token standards (ERC-20) enable DeFi cooperation similar to international trade agreements
- Advantages/Challenges: DeFi protocols can cooperate without government intermediation but face fragmentation risks from competing standards and chain maximalism
LO2: Describe geopolitics and its relationship with globalization
Core Concept
Globalization is the process of interaction and integration among people, companies, and governments worldwide, measured by trade openness, capital flows, and cultural exchange. It creates investment opportunities through market access but also systemic risks through interdependence. The key dimensions are economic integration, financial cooperation, cultural exchange, and supply chain networks. macro
Formulas & Calculations
- World Bank Openness Index: (Exports + Imports) / GDP × 100
- HP 12C steps:
- Exports ENTER
- Imports +
- GDP ÷
- 100 ×
- Common variations: KOF Globalization Index includes social and political dimensions
Practical Examples
- Traditional Finance Example: Apple’s supply chain spans 43 countries with assembly in China, chips from Taiwan, displays from Korea - demonstrating globalization benefits and risks
- Calculation walkthrough: Country with 450B imports, $2T GDP: (500+450)/2000 × 100 = 47.5% openness
- Interpretation: Higher openness ratios indicate greater integration but also higher exposure to global shocks
DeFi Application
- Protocol example: MakerDAO accepting diverse collateral types (ETH, WBTC, real-world assets) mirrors globalization’s asset integration defi-application
- Implementation: Cross-chain protocols like Thorchain enable permissionless value transfer similar to free trade zones
- Advantages/Challenges: DeFi achieves instant global settlement but faces regulatory fragmentation across jurisdictions
LO3: Describe functions and objectives of the international organizations that facilitate trade, including the World Bank, the International Monetary Fund, and the World Trade Organization
Core Concept
- Definition: International organizations are multilateral institutions that coordinate economic policy, provide financial assistance, and establish trade rules among member nations
- Why it matters: These organizations provide stability frameworks that reduce sovereign risk and facilitate international investment flows
- Key components: IMF (monetary stability), World Bank (development finance), WTO (trade rules)
Formulas & Calculations
- IMF Quota Formula:
- Quota = 0.3×GDP + 0.2×Openness + 0.15×Variability + 0.15×Reserves
- (Simplified, actual formula more complex)
- HP 12C steps: Use weighted average calculation
- Common variations: World Bank uses GNI per capita for lending classifications
Practical Examples
- Traditional Finance Example: IMF’s $650B SDR allocation in 2021 provided liquidity during COVID crisis, stabilizing emerging markets
- Calculation walkthrough: Country with 100B reserves might receive ~0.5% of total IMF quotas
- Interpretation: Larger quotas mean greater voting power and borrowing capacity
DeFi Application
- Protocol example: Aave’s governance model with AAVE token holders voting on risk parameters mimics IMF member voting structures defi-application
- Implementation: DAI’s Peg Stability Module functions like IMF currency interventions, maintaining dollar parity through automated mechanisms
- Advantages/Challenges: DeFi governance is transparent and programmable but lacks legal enforcement mechanisms of traditional institutions
LO4: Describe geopolitical risk
Core Concept
Geopolitical risk is the potential for tensions or actions between state and non-state actors to disrupt normal international relations and affect asset values. Such events can cause sudden asset repricing, capital flight, and permanent changes to investment landscapes. The finance curriculum distinguishes three risk types: event risk (predictable timing, such as elections), exogenous risk (sudden shocks, such as invasions), and thematic risk (evolving trends, such as de-globalization). exam-focus
Formulas & Calculations
- Risk Assessment Matrix:
- Risk Score = Probability × Impact × Velocity
- Where each factor scores 1-5
- HP 12C steps: Simple multiplication
- Probability ENTER
- Impact ×
- Velocity ×
- Common variations: Can add time horizon weighting
Practical Examples
- Traditional Finance Example: Russia’s 2022 invasion of Ukraine: Event risk materialized causing energy price spikes, sanctions, and $100B+ in frozen assets
- Calculation walkthrough: Election risk: Probability (0.3) × Impact (4) × Velocity (5) = Risk Score of 6
- Interpretation: Scores above 5 warrant hedging strategies or position reduction
DeFi Application
- Protocol example: Tornado Cash sanctions demonstrated how DeFi protocols face similar geopolitical risks as traditional entities
- Implementation: Chainlink oracles can integrate geopolitical risk feeds into smart contracts for automated risk management
- Advantages/Challenges: Smart contracts can execute pre-programmed responses to events but cannot adapt to unprecedented scenarios
LO5: Describe tools of geopolitics and their impact on regions and economies
Core Concept
- Definition: Geopolitical tools are instruments nations use to advance interests, ranging from military force to economic incentives to financial restrictions
- Why it matters: Understanding available tools helps predict government actions and their market impacts
- Key components: National security tools (military, espionage), economic tools (trade agreements, tariffs), financial tools (sanctions, capital controls)
Formulas & Calculations
- Sanction Impact Estimation:
- GDP Impact = -1 × (Trade Exposure × Sanction Severity × Duration Factor)
- Trade Exposure = Bilateral Trade / Total Trade
- HP 12C steps: Calculate percentage impacts
- Common variations: Input-output models for supply chain effects
Practical Examples
- Traditional Finance Example: US semiconductor export controls on China affect $500B+ in global tech trade, reshaping supply chains
- Calculation walkthrough: Country with 30% trade exposure to sanctioning nation, 50% severity, 2-year duration: GDP impact = -30% × 0.5 × 2 = -30% cumulative
- Interpretation: Secondary effects through supply chains often exceed direct impacts
DeFi Application
- Protocol example: OFAC adding Ethereum addresses to SDN list shows traditional sanctions extending to blockchain
- Implementation: Compliant DeFi protocols implement address screening while maintaining permissionless architecture for non-sanctioned users
- Advantages/Challenges: Blockchain transparency aids compliance but immutability prevents reversing transactions
LO6: Describe the impact of geopolitical risk on investments
Core Concept
- Definition: Geopolitical risk affects investments through volatility, valuation changes, and structural shifts in market access and operations
- Why it matters: Proper assessment enables portfolio protection and identification of opportunities during dislocations
- Key components: Portfolio suitability changes, risk premium adjustments, hedging requirements, scenario planning needs
Formulas & Calculations
- Geopolitical Risk Premium:
- Required Return = Risk-Free Rate + Market Premium + Geopolitical Premium
- Geopolitical Premium = Base Premium × (1 + Risk Score/10)
- HP 12C steps:
- Risk-Free Rate ENTER
- Market Premium +
- Base Geo Premium ENTER
- Risk Score 10 ÷ 1 + ×
-
- Common variations: Country risk premium models
Practical Examples
- Traditional Finance Example: Turkish lira lost 44% in 2021 due to geopolitical tensions, requiring 20%+ risk premiums for local investments
- Calculation walkthrough: Base required return 8%, geopolitical risk score 7: 8% + (2% × 1.7) = 11.4% required return
- Interpretation: Higher required returns reduce present values and increase cost of capital
DeFi Application
- Protocol example: UST/Luna collapse showed how algorithmic stablecoins face unique geopolitical risks from regulatory responses
- Implementation: DeFi insurance protocols like Nexus Mutual price geopolitical risk into coverage premiums
- Advantages/Challenges: On-chain transparency enables real-time risk assessment but historical data for pricing is limited
Core Concepts Summary (80/20 Principle)
Must-Know Concepts
- Cooperation vs. Competition Spectrum: Countries balance collaborative benefits against sovereignty concerns
- Globalization Metrics: Openness ratios and interdependence measures predict vulnerability to contagion
- International Organization Roles: IMF (stability), World Bank (development), WTO (trade rules)
- Risk Typology: Event risk (known timing), exogenous risk (sudden), thematic risk (evolving)
- Geopolitical Tools: National security, economic, and financial instruments shape international relations
- Investment Impact Channels: Volatility, valuation, operations, and market access
Quick Reference Table
| Concept | Key Metric | When to Use | DeFi Equivalent |
|---|---|---|---|
| Cooperation Level | Standardization degree | Assessing market integration | Protocol interoperability |
| Globalization | Openness Index (Trade/GDP) | Measuring economic integration | TVL across chains |
| IMF Function | SDR allocations | Crisis liquidity needs | Stablecoin minting |
| World Bank Role | Development lending | Infrastructure investment | Gitcoin grants |
| WTO Purpose | Trade dispute resolution | Tariff analysis | DAO governance votes |
| Event Risk | Known date probability | Elections, referendums | Protocol upgrades |
| Exogenous Risk | Black swan frequency | Disaster planning | Smart contract exploits |
| Thematic Risk | Trend persistence | Long-term allocation | Regulatory evolution |
Comprehensive Formula Sheet
Essential Formulas
World Bank Openness Index
(Exports + Imports) / GDP × 100
Where: Exports/Imports in same currency as GDP
Used for: Measuring economic integration level
Cooperation Index (Conceptual)
(Standardization + Open Borders + Tech Transfer + Info Flow) / 4
Where: Each factor scores 0-1
Used for: Assessing bilateral/multilateral cooperation
Risk Assessment Score
Probability × Impact × Velocity
Where: Each factor typically scored 1-5
Used for: Prioritizing risk management efforts
Geopolitical Risk Premium
Base Premium × (1 + Risk Score/10)
Where: Risk Score from 0-10 scale
Used for: Adjusting required returns
Sanction Impact Estimate
Trade Exposure × Sanction Severity × Duration Factor
Where: Trade Exposure = Bilateral/Total Trade
Used for: Economic impact assessment
HP 12C Calculator Sequences
Openness Index Calculation
Exports: [value] ENTER
Imports: [value] +
GDP: [value] ÷
100 ×
Result: Openness percentage
Risk-Adjusted Return
Risk-Free: [rate] ENTER
Market Premium: [rate] +
Geo Premium: [rate] ENTER
Risk Score: [score] 10 ÷ 1 + ×
+
Result: Required return
Note: Geopolitics topics rarely require complex calculations
Focus on conceptual understanding over computation
Practice Problems
Basic Level (Understanding)
-
Problem: Country A has exports of 250B, and GDP of $1.5T. Calculate its openness index.
- Given: Exports = 250B, GDP = $1,500B
- Find: Openness Index
- Solution: (300 + 250) / 1500 × 100 = 550/1500 × 100 = 36.67%
- Answer: 36.67% openness indicates moderate global integration
-
Problem: Identify whether Brexit represents event risk, exogenous risk, or thematic risk.
- Given: UK referendum on EU membership scheduled for June 23, 2016
- Find: Risk classification
- Solution: Known date (referendum scheduled) = Event risk characteristic
- Answer: Event risk - date known in advance though outcome uncertain
Intermediate Level (Application)
-
Problem: An emerging market faces potential sanctions. Its bilateral trade with sanctioning country is 200B total trade. Sanctions would cut 60% of bilateral trade. Estimate first-year GDP impact.
- Given: Bilateral trade = 200B, Severity = 60%, Duration = 1 year
- Find: GDP impact estimate
- Solution:
- Trade Exposure = 50/200 = 25%
- Impact = 25% × 60% × 1 = 15%
- Answer: Estimated 15% GDP contraction in first year, though secondary effects could amplify
-
Problem: Compare cooperation levels between USMCA and EU using four factors.
- Given:
- USMCA: Standardization (0.6), Borders (0.7), Tech (0.5), Info (0.8)
- EU: Standardization (0.9), Borders (0.95), Tech (0.8), Info (0.9)
- Find: Cooperation indices and interpretation
- Solution:
- USMCA: (0.6+0.7+0.5+0.8)/4 = 0.65
- EU: (0.9+0.95+0.8+0.9)/4 = 0.8875
- Answer: EU (0.89) shows higher integration than USMCA (0.65), reflecting single market vs. free trade area
- Given:
Advanced Level (Analysis)
- Problem: A DeFi protocol operates across multiple jurisdictions. Analyze its geopolitical risk exposure given: 40% TVL from US users, 30% from EU, 20% from Asia, 10% from others. US considering restrictive regulations (30% probability, high impact), EU implementing MiCA framework (90% probability, medium impact), Asia mixed stance.
- Given: Geographic distribution, regulatory scenarios with probabilities
- Find: Risk assessment and mitigation strategies
- Solution:
- US risk: 40% exposure × 30% probability × 5 impact = 0.6 score
- EU risk: 30% exposure × 90% probability × 3 impact = 0.81 score
- Combined weighted risk requires geographic diversification
- Answer: EU regulatory risk higher despite lower impact due to high probability. Protocol should: 1) Ensure MiCA compliance, 2) Prepare US contingency plans, 3) Increase Asian user acquisition for diversification
DeFi Applications & Real-World Examples
Traditional Finance Context
- Institution Example: JPMorgan maintains geopolitical risk committees adjusting exposure based on State Department travel warnings, SWIFT payment patterns, and credit default swap spreads
- Market Application: Currency carry trades unwind rapidly during geopolitical tensions as investors flee to safe havens (USD, CHF, JPY)
- Historical Case: 1998 Russian default triggered by geopolitical instability caused LTCM collapse, demonstrating systemic risk transmission
DeFi Parallels
- Protocol Implementation: Maker’s Emergency Shutdown mechanism allows system-wide protective response to existential threats, similar to central bank crisis tools defi-application
- Smart Contract Logic: Compound’s governance timelock prevents rapid parameter changes, reducing political risk but limiting crisis response
- Advantages: Immutable code execution removes political interference but protocols remain vulnerable to underlying blockchain governance
- Limitations: Cannot implement capital controls or reverse transactions, limiting sovereign intervention tools
Case Studies
-
Case 1: Tornado Cash Sanctions (2022)
- Background: OFAC sanctioned Ethereum mixer protocol for money laundering
- Analysis: Demonstrated US ability to restrict DeFi access despite decentralization
- Outcomes: Major protocols blocked sanctioned addresses, GitHub removed code
- Lessons learned: DeFi operates within traditional legal frameworks, not outside them
-
Case 2: Russia-Ukraine Crypto Donations (2022)
- Background: Ukraine received $100M+ in crypto donations for defense
- Analysis: Cryptocurrencies enabled rapid international support bypassing SWIFT
- Outcomes: Demonstrated crypto’s role in geopolitical conflicts
- Lessons learned: Blockchain provides alternative rails during traditional system disruptions
Common Pitfalls & Exam Tips
Frequent Mistakes
- Mistake 1: Confusing cooperation with globalization - countries can cooperate bilaterally without globalizing
- Mistake 2: Treating all geopolitical risks equally - must differentiate by probability, impact, and velocity
- Mistake 3: Ignoring second-order effects - sanctions impact extends beyond direct trade through supply chains and confidence
Exam Strategy
- Time management: Geopolitics questions typically conceptual, spend 1-2 minutes max
- Question patterns: Focus on identifying risk types, organization functions, and tool classifications
- Quick checks: Ensure answer logical given real-world examples (would IMF provide military aid? No - that’s not its mandate)
Key Takeaways
Essential Points
✓ Geopolitics analyzes state and non-state actor interactions based on geography and interests
✓ Cooperation-competition spectrum determines market integration and investment opportunities
✓ International organizations (IMF, World Bank, WTO) provide stability frameworks reducing systemic risk
✓ Three risk types (event, exogenous, thematic) require different portfolio management approaches
✓ DeFi protocols face similar geopolitical risks but with different transmission mechanisms
Memory Aids
- Mnemonic: “GET Real” - Geopolitics affects Economy and Trade, creating Risk for investments and requiring Evaluation of Alternatives and Liquidity
- Visual: Picture risk as three-dimensional (Probability × Impact × Velocity) cube - larger volume = greater concern
- Analogy: International organizations like traffic lights - IMF (red/stop crisis), World Bank (yellow/caution development), WTO (green/go trade)
Cross-References & Additional Resources
Related Topics
- Prerequisite: Business Cycles — economic conditions influence geopolitical decisions
- Related: Fiscal Policy and Monetary Policy — tools for managing geopolitical impacts
- Advanced: International Trade and Capital Flows — specific applications of geopolitical framework
Source Materials
- Primary Reading: Volume 2 - Economics, Topic 5, Pages 1-47
- Key Sections: Cooperation framework (p.5-12), Risk types (p.28-35), Investment impacts (p.38-45)
- Practice Questions: End-of-reading problems focus on organization roles and risk classification
External Resources
- Videos: CFI’s Geopolitical Risk Analysis course provides practical frameworks
- Articles: Foreign Affairs magazine for current geopolitical analysis
- Tools: World Bank data portal for openness metrics, IMF’s Global Financial Stability Report
Review Checklist
Before moving on, ensure you can:
- Distinguish cooperation from competition using the four-quadrant framework
- Calculate openness index and interpret globalization metrics
- Identify specific roles of IMF, World Bank, and WTO without confusion
- Classify risks as event, exogenous, or thematic with real examples
- Recognize how each geopolitical tool affects markets and investments
- Apply geopolitical risk assessment to both traditional and DeFi portfolios
- Explain why DeFi faces similar geopolitical constraints despite decentralization