lev-os Managing CMBS Analysis
Evaluates CMBS structures with loan-level analysis, subordination assessment, and special servicing monitoring.
When To Use
- Analyzing a new CMBS issuance or secondary market deal for acquisition or surveillance
- Reviewing loan-pool composition, concentration risk, and collateral quality
- Assessing credit enhancement levels and subordination adequacy across tranches
- Monitoring specially serviced loans, watchlist credits, or workout outcomes
- Preparing periodic CMBS portfolio performance reports for investors or asset managers
- Evaluating B-piece or mezzanine tranche risk in conduit, single-borrower, or CRE CLO deals
Inputs To Gather
- Deal documents: Prospectus supplement, pooling and servicing agreement (PSA), offering circular
- Loan-level data: Loan tape with property type, location, balance, DLTV, DSCR, maturity date, rate type, and IO period details
- Tranche structure: Capital stack showing class designations, credit enhancement percentages, coupon rates, and expected maturities
- Servicer reports: Monthly trustee/remittance reports, watchlist reports, specially serviced loan updates
- Property-level financials: NOI, occupancy, rent rolls, cap rate comps for top-10 or top-20 loans
- Rating agency presales: Moody's, DBRS Morningstar, Fitch, or KBRA presale reports with loss expectations
- Market data: CMBX index levels, spread benchmarks, delinquency rate trends by vintage and property type
Workflow
Map the capital structure
- Chart each tranche: class, original/current balance, credit enhancement, coupon, WAL, and rating
- Identify the credit-risk transfer point (where losses attach) for the target tranche
- Note any interest-only classes, rake bonds, or companion classes with distinct risk profiles
Analyze the loan pool
- Calculate pool-level metrics: weighted-average DSCR, DLTV, coupon, remaining term, and IO percentage
- Assess concentration risk by property type, geography, single-borrower exposure, and loan size (top-10 loan %)
- Flag loans with DSCR < 1.20x, DLTV > 70%, near-term maturities (< 24 months), or upcoming IO-to-amortizing transitions
- Review underwriting assumptions vs. in-place financials — identify aggressive NOI or cap rate inputs [VERIFY]
Evaluate subordination and credit enhancement
- Compare credit enhancement levels to rating agency expected loss estimates
- Stress-test subordination under adverse scenarios (e.g., 20% NOI decline, 150bp cap rate expansion)
- Benchmark CE levels against comparable vintage deals and current spread pricing
- Assess whether defeasance, prepayment, or amortization has increased CE since issuance
Monitor special servicing and watchlist
- Track loans transferred to special servicing: transfer date, reason, current workout status, appraised value
- Categorize workout strategies: modification, extension, foreclosure/REO, DPO, or note sale
- Calculate realized and projected losses on resolved and pending dispositions
- Review watchlist triggers: declining occupancy, tenant rollover, DSCR deterioration, environmental/structural issues
- Track cumulative loss rate vs. original deal loss projections and rating agency scenarios
Assess ongoing deal performance
- Compare current delinquency rates (30/60/90+/FC/REO) against benchmark indices and prior periods
- Evaluate cash flow waterfall mechanics: sequential vs. pro-rata pay, trigger events, and reserve fund levels [VERIFY against PSA]
- Note any appraisal reductions, interest shortfalls (ASER), or principal writedowns affecting target tranches
- Review servicer advancing obligations and any advancing facility constraints
Synthesize findings and report
- Compile tranche-level risk assessment with key metrics dashboard
- Highlight material risks: concentration, maturity wall, declining collateral quality, servicer performance
- Provide loss-adjusted yield analysis for target tranches under base and stress scenarios
- Recommend hold/sell/increase position with supporting rationale
Output
- Deal summary table: Tranche map with current balances, CE levels, ratings, and spreads
- Loan pool analysis: Pool composition breakdown with concentration charts and flagged risk loans
- Special servicing report: Status of all specially serviced and watchlist loans with loss estimates
- Performance dashboard: Delinquency trends, loss rates, and CE migration since issuance
- Risk assessment narrative: Material findings, stress scenario outcomes, and actionable recommendations
- Data gaps log: Items requiring updated servicer data, property financials, or third-party verification
Quality Checks
- Confirm all loan-level data ties to the most recent trustee report date — flag stale data older than 60 days
- Verify credit enhancement calculations match trustee factor files, not just prospectus-level originals
- Cross-check DSCR and DLTV figures against both servicer-reported and independently calculated values
- Ensure loss projections account for advancing, liquidation expenses, and special servicing fees
- Validate that waterfall mechanics and trigger tests reflect the governing PSA terms [VERIFY]
- Confirm property type and geographic classifications align with standard CRE taxonomy (office, retail, multifamily, industrial, hospitality, self-storage, mixed-use)
- Flag any discrepancies between rating agency reports and servicer data on the same loans