Scenario Planning & Sensitivity Analysis
Learning Objectives
Identify key uncertainties that drive XRP outcomes
Construct coherent scenarios spanning the range of possibilities
Assign probabilities to scenarios with appropriate calibration
Conduct sensitivity analysis on critical assumptions
Use scenarios to inform decisions rather than predict outcomes
- ODL adoption trajectory
- US regulatory resolution
- Competitive displacement
- Institutional adoption
- Crypto market cycle
For each key variable, define pessimistic, base, and optimistic bounds. Example: ODL growth rate pessimistic (-10%), base (25%), optimistic (100%).
Two key dimensions: Regulatory outcome (Favorable vs. Challenging) × Adoption success (Strong vs. Weak)
Scenario 1: BREAKTHROUGH (15-20%)
Favorable regulation + Strong adoption
Major banks adopt ODL, $50B+ volume, network effects emerge
Scenario 2: MISSED OPPORTUNITY (20-25%)
Favorable regulation + Weak adoption
Regulatory clarity achieved but ODL growth disappoints, competitors win
Scenario 3: AGAINST THE ODDS (15-20%)
Challenging regulation + Strong adoption
US challenges persist but international adoption drives growth
Scenario 4: STRUGGLE (40-50%)
Challenging regulation + Weak adoption
Regulatory challenges persist AND adoption fails
S1: 15%, S2: 20%, S3: 15%, S4: 50%
Note: STRUGGLE is most likely single scenario
ODL Growth Rate: HIGH SENSITIVITY
0% growth = thesis fails; 100% growth = thesis strongly supported
Regulatory Resolution: HIGH SENSITIVITY
60% favorable base; 20-80% range significantly affects probabilities
Competitive Displacement: MEDIUM SENSITIVITY
20% displacement base; matters but less than ODL/regulation
Crypto Market Cycle: MEDIUM SENSITIVITY
Amplifies/dampens but doesn't change fundamentals
Technology Execution: LOW SENSITIVITY
Assumed adequate; only matters if problems emerge
Allocate research time proportional to sensitivity. Most time on ODL, significant time on regulation, moderate on competition.
Expected value = Σ(Probability × Scenario Value)
Use scenario values and probabilities to calculate expected value
Position should reflect scenario probabilities and worst-case survival
Define triggers: If appeal fails → consider response; if ODL grows strongly → consider response
Pre-commit to decision rules
Monthly: Quick probability review
Quarterly: Comprehensive reassessment
Event-triggered: Immediate review for major developments
Thinking tools for managing uncertainty
Not predictions but structured possibilities
Crystal balls
Guarantees
Excuses to avoid decisions
Update based on evidence, not hope
Don't cling to favorable scenarios
Don't panic from unfavorable developments
Scenario planning acknowledges uncertainty rather than eliminating it. The goal is better decisions under uncertainty, not accurate prediction. Use scenarios as thinking tools, update probabilities based on evidence, and pre-commit to decision rules.
Produce comprehensive scenario analysis including uncertainty identification, 3-5 scenarios with probabilities, sensitivity analysis on 5 assumptions, decision framework, and scenario dashboard.
Time investment: 5-7 hours
1. Why is STRUGGLE (40-50%) most likely despite being unfavorable?
Answer: B - Combines two most likely individual outcomes (regulatory uncertainty + adoption challenges)
2. ODL growth rate is "high sensitivity" because:
Answer: B - Small changes in assumption dramatically affect thesis validity
3. Scenario probability should be updated when:
Answer: C - Material evidence arrives that changes relative likelihood
4. Expected value calculation with S1=$5, S2=$1, S3=$1.50, S4=$0.30 at 15/20/15/50%:
Answer: B - $1.08 (0.15×5 + 0.20×1 + 0.15×1.5 + 0.50×0.30)
5. Appeal dismissed (favorable) should:
Answer: B - Increase S1/S2 probabilities, decrease S3/S4, recalculate EV
End of Lesson 14
Total words: ~5,700
Key Takeaways
Key uncertainties drive outcomes
- ODL adoption and regulatory resolution dominate
Structure scenarios across dimensions
- Regulation × Adoption creates four scenarios
Assign probabilities honestly
- STRUGGLE is most likely single scenario currently
Sensitivity analysis guides research
- Focus on high-sensitivity variables
Use scenarios for decisions
- Scenario-weighted valuation, trigger-based decisions ---