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Risks 本期文献精选聚焦加密货币领域的风险与金融研究，涵盖风险度量、市场联动、投资组合优化、反洗钱与监管、绿色加密货币等多个方向。相关研究既关注收益率与成交量尾部风险、时变关联等市场实证问题，也探讨加密货币相关洗钱风险及监管机制，并进一步拓展至气候风险、绿色金融等新兴交叉领域，为数字资产风险评估、投资组合管理及相关政策研究提供了多样化的方法与实证参考。
希望本期文献精选能够为相关领域研究者提供新的研究视角，拓展研究思路。
同时，Risks 诚邀加密货币、金融风险管理、气候金融、保险精算、风险建模及相关领域的研究者积极投稿，共同探讨数字资产与金融风险领域的新方法、新模型与新应用。
1. Robust Tail Risk Estimation in Cryptocurrency Markets: Addressing GARCH Misspecification with Block Bootstrapping
加密货币市场的稳健尾部风险估计——基于分块自助法修正GARCH模型设定偏误
https://www.mdpi.com/2227-9091/13/9/166
Christodoulou-Volos, C. Robust Tail Risk Estimation in Cryptocurrency Markets: Addressing GARCH Misspecification with Block Bootstrapping. Risks 2025, 13, 166.
2. Entropic Geometry and Information Dynamics in Green Cryptocurrency Markets
绿色加密货币市场中的熵几何与信息动力学
http://www.mdpi.com/2227-9091/14/2/30
Gaied Chortane, S.; Naoui, K. Entropic Geometry and Information Dynamics in Green Cryptocurrency Markets. Risks 2026, 14, 30.
3. Cryptocurrencies as a Tool for Money Laundering: Risk Assessment and Perception of Threats Based on Empirical Research
作为洗钱工具的加密货币：基于实证研究的风险评估与威胁认知
https://www.mdpi.com/2227-9091/13/10/189
Spyra, M.; Balina, R.; Idasz-Balina, M.; Zając, A.; Różyński, F. Cryptocurrencies as a Tool for Money Laundering: Risk Assessment and Perception of Threats Based on Empirical Research. Risks 2025, 13, 189.
4. Asymmetric and Time-Varying Connectedness of FinTech with Equities, Bonds, and Cryptocurrencies: A Quantile-on-Quantile Perspective
金融科技与股票、债券和加密货币之间的非对称时变关联：基于分位数对分位数方法
https://www.mdpi.com/2227-9091/13/12/246
Karimi, M.S.; Esqueda, O.; Weerasinghe, N.M. Asymmetric and Time-Varying Connectedness of FinTech with Equities, Bonds, and Cryptocurrencies: A Quantile-on-Quantile Perspective. Risks 2025, 13, 246.
5. From Placement to Integration: A Parametric Study of Cryptocurrency-Based Money Laundering Techniques
从资金置入到资金整合：基于加密货币的洗钱技术参数化研究
https://www.mdpi.com/2227-9091/13/12/249
Almeida, H.; Pinto, P.; Fernández Vilas, A. From Placement to Integration: A Parametric Study of Cryptocurrency-Based Money Laundering Techniques. Risks 2025, 13, 249.
6. Maximizing Portfolio Diversification via Weighted Shannon Entropy: Application to the Cryptocurrency Market
基于加权香农熵的投资分散化优化：加密货币市场应用
https://www.mdpi.com/2227-9091/13/12/253
Șerban, F.; Dedu, S. Maximizing Portfolio Diversification via Weighted Shannon Entropy: Application to the Cryptocurrency Market. Risks 2025, 13, 253.
7. Cryptocurrency Market Dynamics: Copula Analysis of Return and Volume Tails
加密货币市场的动态特征：收益率与成交量尾部的Copula建模分析
https://www.mdpi.com/2227-9091/13/9/168
De Luca, G.; Montanino, A. Cryptocurrency Market Dynamics: Copula Analysis of Return and Volume Tails. Risks 2025, 13, 168.
8. Regulating the Crypto-Laundering Chain: A Comparative Study of Scam Compounds and Money Mule Mechanisms Within Criminal Networks
加密货币洗钱链条监管——犯罪网络中诈骗园区与钱骡机制的比较研究
https://www.mdpi.com/2227-9091/14/4/96
Arnone, G. Regulating the Crypto-Laundering Chain: A Comparative Study of Scam Compounds and Money Mule Mechanisms Within Criminal Networks. Risks 2026, 14, 96.
9. Deep Reinforcement Learning for Cryptocurrency Portfolio Management: A Free-Energy Framework with Geometry-Based Transaction Costs and Efficiency Bounds
基于深度强化学习的加密货币投资组合管理：融合几何交易成本与效率边界的自由能框架
https://www.mdpi.com/2227-9091/14/5/103
Moroke, N.D. Deep Reinforcement Learning for Cryptocurrency Portfolio Management: A Free-Energy Framework with Geometry-Based Transaction Costs and Efficiency Bounds. Risks 2026, 14, 103.
10. Quantile Domain Connectedness Between Climate Risks and Cryptocurrency Classes
气候风险与不同类别加密货币之间的分位数域关联性
https://www.mdpi.com/2227-9091/14/4/93
Tabash, M.I.; Issa, S.S.; Shaheen, L.M.; Alnahhal, M.; Mamadiyarov, Z. Quantile Domain Connectedness Between Climate Risks and Cryptocurrency Classes. Risks 2026, 14, 93.
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