Cross-sectional data on stablecoin characteristics.

Area of Science:

• Digital currencies and financial technology.
• Cryptocurrency market analysis.
• Data science and database development.

Background:

• Stablecoins are a rapidly growing segment of the cryptocurrency market.
• Despite a common goal of maintaining stable value, stablecoins exhibit significant heterogeneity.
• Key differentiating factors include collateral, stabilization mechanisms, peg type, documentation, exchange presence, and age.

Purpose of the Study:

• To present a novel, comprehensive dataset on stablecoin characteristics.
• To provide a foundational resource for analyzing the stablecoin market.
• To facilitate research into the relationship between market trends and stablecoin features.

Main Methods:

• Cross-sectional data collection through extensive internet research.
• Information gathered from stablecoin project websites, a crypto-data aggregator, and financial/crypto resources.
• Dataset compilation focusing on diverse stablecoin attributes.

Main Results:

• A unique, publicly unavailable database of stablecoin features has been created.
• The dataset captures heterogeneity in collateral, stabilization mechanisms, peg, documentation, exchange listings, and age.
• Provides a structured overview of the stablecoin landscape.

Conclusions:

• The dataset serves as a valuable tool for stablecoin research and analysis.
• Enables characterization of individual stablecoins and broader market trends.
• Supports investigations into the dynamics between cryptocurrency markets and stablecoin attributes.