CMBS Tenant Names

**Overview**
The purpose of this dataset is to provide the fields necessary to train a machine learning model to normalize\classify commercial real estate tenant names.

The full list of 250+ deals used to derive this dataset can be seen here: https://dealcharts.org/capitalmarkets/abs/cmbs/

This dataset contains Schedule AL data from Edgar Form ABS-EE filings for 250+ CMBS deals across 9,500+ filings (monthly). The earliest reported period is 2016-11-07. The dataset is updated daily to capture all future ABS-EE filings as they are published in Edgar.

The Schedule AL is a statement of disclosure of assets and liabilities and is part of Reg AB II Asset-level Requirements Compliance that went into effect on November 23, 2016.

Form ABS-EE is a form that issuers of asset-backed securities use to file exhibits EX-102 (Asset Data File) and EX-103 (Asset Related Document). More information can be found at https://www.sec.gov/oit/announcement/regabii-asset-level-requirements-compliance and https://www.sec.gov/divisions/corpfin/guidance/form-abs-ee-interps.

All Conduits since 2018 are represented in this dataset along with information about their loans and properties. This dataset contains the original XML submission, no processing has been done whatsoever to the data submitted.

**Use cases**
Tenant name inconsistencies across datasets can hinder CRE analysis. A machine learning model can normalize variations and misspellings, e.g., recognizing "McDonald's Corp." as "McDonald's Corporation." Normalized tenant names enable diverse analyses:

- Retail Collateral: Including brand vulnerability analysis to assess tenant financial health; tenant mix review to gauge retail center appeal; lease expiry scheduling to predict vacancy rates; and space efficiency analysis to determine property usage.

- Office Collateral: Including tenant credit risk assessment for loan decisions; lease expiry and escalation review for predicting income streams; and market comparison analysis to assess competitiveness.

Such insights help in lending decisions, risk assessment, and strategic planning.

**Product details**
The schema is devoid of CMBS deal information however contains the property address and tenant information:

PROPERTYNAME: Name of the property, typically for identification.
PROPERTYADDRESS: Full address of the property location.
PROPERTYCITY: City where the property is located.
PROPERTYSTATE: U.S. state of the property's location.
PROPERTYZIP: Zip code for the property's location.
PROPERTYTYPECODE: Code for the property type (e.g., "OF" for Office).
TENANTNAME: Name of the tenant occupying the space.
TENANTSIZE: Size of the tenant's occupied space.
TENANTLEASEEXPIRATION: Expiration date of the tenant's lease.

For more details, refer to the embedded notebook.