Stablecoins as Dry Powder: A Copula-Based Risk Analysis of Cryptocurrency Markets
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| author | Jones, Elliot Matsui, Toshiko Knottenbelt, William |
| author_facet | Jones, Elliot Matsui, Toshiko Knottenbelt, William |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_23480 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Stablecoins as Dry Powder: A Copula-Based Risk Analysis of Cryptocurrency Markets Jones, Elliot Matsui, Toshiko Knottenbelt, William Computational Engineering, Finance, and Science 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. |
| title | Stablecoins as Dry Powder: A Copula-Based Risk Analysis of Cryptocurrency Markets |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2603.23480 |