Stablecoins as Dry Powder: A Copula-Based Risk Analysis of Cryptocurrency Markets
This addresses the under-explored structural role of stablecoins in systemic risk for cryptocurrency markets, providing incremental insights into risk management.
This study tackled the problem of stablecoins transmitting systemic risk to cryptocurrency markets by using copula-based approaches to quantify volatility and activity transmission, showing that incorporating stablecoin factors reduces Mean Squared Error in forecasting and lowers risk in volatility targeting models.
Stablecoins serve as the fundamental infrastructure for Decentralised Finance (DeFi), acting as the primary bridge between fiat currencies and the digital asset ecosystem. While peg stability is well-documented, the structural role stablecoins play in transmitting systemic risk to the broader market remains under-explored. This study uses copula-based approaches to quantify the transmission of volatility and activity from stablecoin to cryptocurrency markets. We demonstrate in-sample causality across daily, weekly, and monthly horizons. Furthermore, we show that incorporating stablecoin factors significantly reduces Mean Squared Error in cryptocurrency forecasting. Specifically, we link stablecoin volume and upside volatility to broader market volatility, indicating its role as dry powder. Finally, we establish economic value by demonstrating reduced risk in a cryptocurrency volatility targeting model when stablecoin factors are employed.