What is reference data? Uses, Types & Dataset Examples
What is Reference Data?
Reference Data is a fundamental asset that is used in credit derivatives to protect debt holders from risky borrowers. It is usually in the form of bonds, treasury notes, or other debt-supporting collaterals stated by borrowers. The purpose of reference data is to assign the risk of default to a third party in order to cushion lenders against the possibility of the borrower defaulting on the debt.
Examples of reference data include country codes, currency codes, industry classifications, and product codes. Reference data is used to provide standardized and consistent values for specific attributes or characteristics. It helps in ensuring data integrity, facilitating data integration, and enabling accurate analysis and reporting. In this page, you’ll find the best data sources for reference data sets.
Best Reference Datasets & APIs
Cbonds: Reference stocks data API - Global Coverage, 80K stocks
EDI Derivatives Reference Data (>30 fields covered)
Cryptocurrency Data - Kaiko Reference Rates. | Benchmark Rates | Derivatives Settlement | BMR-Complaint | Daily Fixings
CoinAPI: Exchange Rate Crypto Data | Crypto-to-Fiat | Real-Time Feeds | VWAP | Reference Prices | Exchange Rates Crypto | Price and Volume
GPI pulse™ - Global Pricing Innovations, International Reference Pricing - Pharma Data
Webautomation Reddit Data | Web Scraping Data | Uncover Trends, Sentiments and User Preferences | GDPR compliant
PREDIK Data-Driven I Places Data, Foot Traffic and POI Data I Enriched Dataset to Analyze User Patterns & Preferences For USA & Mexico I +3B records
Cbonds: Reference ETF data API - Global Coverage, 8K ETF
EDI Worldwide Fixed Income Terms and Conditions | Fixed Income Data | Fixed Income Reference Data | Bond Data
Monetize data on Datarade Marketplace
Reference Data Use Cases
- Overview
- Datasets
- Use Cases