Top-Down, Bottom-Up Municipal Credit Analysis
Trace macroeconomic shocks into local revenues and individual bond risks
- Difficulty
- Advanced
- Time to result
- ~months to results
- Steps
- 6
- Confidence
- 99%
This framework sequences municipal-credit research from the economy down to individual vulnerabilities. First, determine the stage and drivers of the economic cycle, including sectors that are strengthening or weakening. Next, map the relevant sector exposure onto regional economies. The analysis must then cross the crucial bridge from economic activity to public finance: estimate how employment, commodity prices, or business activity will alter state and local revenues. Only after that should the analyst inspect issuer and security-level vulnerabilities. Finally, measure the amount of exposed debt and distinguish likely underperformance in a few places from a systemic threat to the broader market. This prevents a vivid macro story from dominating the portfolio when the affected municipal debt is too small or sufficiently buffered to matter.
Origin
Extracted from Masters in Business through Michael Zezas's description of Morgan Stanley's municipal-bond analysis process.
Core principles
- 01Start with fundamentals rather than market narratives
- 02Sequence macro analysis before issuer-level analysis
- 03Trace economic exposure into government revenue exposure
- 04Separate local underperformance from systemic market risk
- 05Let materiality determine whether a risk drives the portfolio view
How to run it
- 1
Read the Economic Cycle
Determine where the economy sits in its cycle and identify the forces driving growth or contraction.
Pro tip Consider both national conditions and sector-specific recessions.
Watch out A strong national economy can conceal severe weakness in a concentrated sector.
- 2
Identify Sector Stress
List the economy's weak and strong sectors and define the plausible shock. Estimate whether the stress is temporary, cyclical, or structural.
Pro tip Frame a specific transmission hypothesis, such as falling oil prices reducing severance-tax receipts.
Watch out Do not treat price movements as fiscal damage until the transmission channel is clear.
- 3
Map Regional Exposure
Identify states, cities, and local economies with outsized dependence on the affected sector. Include economic diversification and production characteristics in the comparison.
Pro tip Rank regions by concentration rather than merely listing where the industry operates.
Watch out Headline association with a sector does not prove material dependence.
- 4
Translate Exposure Into Revenue
Determine which taxes, fees, or other revenues respond to the sector and estimate the budget effect. Compare actual conditions with assumptions embedded in official forecasts.
Pro tip Conservative revenue assumptions can materially reduce the shortfall from an economic shock.
Watch out Economic exposure and government-revenue exposure are not identical.
- 5
Inspect Credit Vulnerabilities
Move to issuers and security types that could suffer from the projected revenue change. Consider ratings, reserves, debt service, and structural protections.
Pro tip Use desk analysts for detailed single-name work while aggregating results into sector trends.
Watch out An aggregate trend can obscure a vulnerable individual issuer.
- 6
Test Market Materiality
Measure the exposed debt against the full market and decide whether the issue is systemic, a relative-value concern, or too small to drive strategy.
Pro tip Separate the chance of local underperformance from the chance of broad contagion.
Watch out A dramatic local crisis may still represent only a drop in the bucket for the market.
In the wild
When oil prices fell sharply, the analysis began with energy-sector recession risk and mapped it to producing states such as Texas, Oklahoma, Louisiana, Alaska, and North Dakota. Analysts then examined severance taxes, budgeted oil-price assumptions, economic diversification, ratings, and outstanding debt. Texas had conservative assumptions and a diversified economy, while North Dakota faced greater revenue risk but represented little debt relative to the national market.
→ The team expected some regional underperformance but concluded that energy weakness was unlikely to become a systemic municipal-bond problem.
An analyst studying a technology downturn maps employment and capital-gains exposure across regional governments, estimates effects on income and sales taxes, and reviews reserves and debt service for the most concentrated issuers. The exposed debt is then compared with the total portfolio and market.
→ The portfolio reduces only the credits with meaningful fiscal transmission rather than selling every municipality associated with technology.
Common mistakes
Stopping at the Macro Story
A sector downturn is not automatically a municipal-credit crisis. The analysis must trace the shock through regional activity and into actual government revenues.
Ignoring Economic Diversification
Two regions exposed to the same industry can experience very different fiscal outcomes because their broader economies differ.
Mistaking Local Risk for Systemic Risk
An issuer can be severely vulnerable while representing too little debt to threaten the overall market.
Is it for you?
Best for
It is best for municipal-bond analysts evaluating how economic changes may affect regions, revenues, and specific securities.
Not ideal for
It is not ideal as a substitute for legal-document review or detailed single-issuer due diligence.
From the transcript
“So we always start with fundamentals, and it's both top down and bottom up.”
“The process I like is to sort of sequence them that way top down, then bottom up”
“So then we had to do was go around and say where the regional economy is that haven't outsized UM exposure too energy sector, and…”
From the episode
Interview With Michael Zezas: Masters in Business (Audio)
Michael Zezas