Cap rate trends, NOI modeling, CMBS data analysis, and institutional CRE underwriting practice — written for analysts, not hobbyists.
Cap rates in Atlanta, Phoenix, and Miami multifamily have compressed 40–70bps over 18 months. We unpack the rent-roll dynamics and cap rate comp signals that matter for underwriting today.
Most AVM models use sales comps or hedonic regression. We explain why NOI-adjusted comp stacking produces tighter confidence intervals for commercial assets above $5M.
A triple-net lease on a shaky tenant is not the same as one on an investment-grade anchor. Here is how we pull public-entity filings and map D&B ratings to stabilized NOI adjustments.
Miami's off-market deal volume exceeds 35% for sub-$20M commercial. We document the data sources we combine to recover blind spots in broker-reported comp pools.
Quarterly appraisals cost $2,000–$12,000 per asset and lag market conditions by 60–90 days. We examine how automated continuous valuation changes the economics for portfolio-sized holdings.
Miami-Dade and Broward industrial vacancy tightened to 3.4% as Amazon and third-party logistics tenants drove speculative fill-up. Cap rate spread vs. multifamily narrows to near parity.
A model that outputs $14.2M with a ±$800K confidence band is more useful than one that outputs $14.2M with no uncertainty disclosure. We explain our interval derivation approach.
Conversion projects require a probability-weighted entitlement haircut. Here is the framework we use to estimate conditional NOI and translate it to a risk-adjusted cap rate.
CRE bridge lenders now target 10-business-day close windows. We look at how automated valuation and market intelligence shortens the diligence cycle without cutting corners on rigor.
Ground lease escalator terms, reversion clauses, and CPI adjustments all interact with the leasehold NOI in ways that standard comp stacking misses. Here is how we handle the residual.
Deals, distress, and cap rate movement across Miami-Dade, Broward, Palm Beach, and Orange County in Q4 2025. Data drawn from recorded deed transfers, CMBS remittance reports, and tenant-vacancy indices.
Portfolio-level regression sacrifices precision on tails for speed. Asset-by-asset models scale poorly past 300 properties. We present a hybrid approach that addresses both failure modes.
CMBS servicer remittance data contains property-level occupancy, DSCR, and NOI — updated monthly. We explain how we integrate EDGAR and CMBS servicer feeds to anchor valuations beyond desk-appraisal comps.