Debt-Games Crisis Analysis
Map creditor and debtor incentives before estimating a sovereign crisis outcome
- Difficulty
- Advanced
- Time to result
- ~weeks to results
- Steps
- 7
- Confidence
- 90%
Debt-Games Crisis Analysis treats a sovereign repayment problem as a strategic interaction among governments, creditors, institutions and domestic constituencies. The analyst identifies what each participant is trying to maximize, distinguishes known facts from uncertainties, and compares the situation with past crises without assuming history will repeat exactly. Scenarios then trace how one actor's decision changes the incentives of the others, including the possibility that elections replace the people controlling repayment policy. The method produces conditional outcomes rather than a single confident prediction, highlighting which assumptions depend on a particular administration or political constraint. Because every crisis contains unknown unknowns, the final judgment must include conservative sizing and an explicit statement of what cannot be known.
Origin
Extracted from Masters in Business, drawing on Tina Vandersteel's discussion of Debt Games and sovereign-creditor strategy.
Core principles
- 01Every crisis combines recurring patterns with unique facts.
- 02Creditors and debtors optimize different utility functions.
- 03A government's objectives can change faster than an investor's.
- 04Political turnover can invalidate an otherwise sound forecast.
- 05Unknown unknowns require humility and conservative sizing.
How to run it
- 1
Define the game
Specify the payment problem, relevant debt instruments, decision horizon and strategic actors.
Pro tip Include domestic voters and official institutions when they constrain the borrower.
Watch out Ignoring a decisive constituency can distort every later scenario.
- 2
Map utility functions
State what each actor appears to maximize, such as alpha, market access, political survival, debt relief or domestic stability.
Pro tip Distinguish stated goals from incentives revealed by prior actions.
Watch out Government utility functions may be opaque or internally conflicted.
- 3
Classify uncertainty
Separate established facts, known unknowns and residual unknown unknowns.
Pro tip Attach confidence levels to pivotal assumptions.
Watch out False precision can conceal the variable that ultimately drives the outcome.
- 4
Retrieve precedents
Compare the case with earlier crises that share institutional, political or contractual features.
Pro tip Use precedent to generate scenarios, not to declare an automatic outcome.
Watch out Every crisis differs in at least some consequential way.
- 5
Model strategic responses
Trace how default, support, restructuring or repayment by one party changes the choices available to others.
Pro tip Include second-round reputational and market-access effects.
Watch out A decision that appears economically irrational may serve a political objective.
- 6
Test political turnover
Re-run the scenarios under plausible elections, coups, cabinet changes or leadership transitions occurring during the bond's life.
Pro tip Mark opinions that remain valid only while a named administration holds power.
Watch out Bond maturities frequently outlast political regimes.
- 7
Make a humble decision
Convert the scenario range into pricing, position size and monitoring triggers while preserving room for surprise.
Pro tip Demand more compensation when pivotal variables are unknowable.
Watch out Do not confuse a structured model with certainty.
In the wild
An investor's view of Ecuadorian debt depended partly on the government's willingness to accommodate creditors. When voters installed a more investor-friendly leader, the bonds rose, illustrating how quickly a borrower's utility function and market pricing can change.
→ Political turnover becomes an explicit scenario variable rather than an afterthought.
Common mistakes
Assuming all crises follow one template
Historical patterns are useful inputs, but unique institutions and political constraints can change the result.
Treating government preferences as fixed
An administration can change its priorities, and an election can replace it before a bond matures.
Hiding uncertainty behind a model
Game-theoretic structure clarifies decisions but does not remove unknown unknowns.
Is it for you?
Best for
It is best for credit analysts evaluating debt restructurings, rollover crises or politically driven repayment decisions.
Not ideal for
It is not ideal for situations where reliable relative-value hedges already remove the need for a directional crisis forecast.
From the transcript
“every crisis is unhappy in its own way.”
“they use a game theoretic approach to the strategic game of creditors and debtors as they head into a failure to pay moment.”
“you just have to be humble about what is really knowable in any given situation.”
From the episode
Tina Vandersteel on Emerging-Country Debt (Podcast)
Tina Vandersteel