Quantitative Methods in Digital Finance

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 67

Special Issue Editors


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Guest Editor
School of Statistics, Renmin University of China, Beijing 100872, China
Interests: statistics and distribution theory with financial applications; cryptocurrencies; blockchain and social networks
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mathematics and Statistics, American University of Sharjah, Sharjah 26666, United Arab Emirates
Interests: extreme value analysis and distribution theory in analyzing financial commodities; data and cryptocurrency data; and financial risk models
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This special issue aims to explore the intersection of quantitative methods and digital finance, addressing how traditional financial mathematics can adapt to emerging FinTech applications. The rapid development of cryptocurrencies, blockchain technology, and decentralized finance (DeFi) has created new opportunities for applying techniques such as machine learning and optimization, while presenting novel challenges requiring innovative quantitative approaches. We invite original research papers that advance theoretical understanding and practical implementation of quantitative methods in digital finance contexts, including machine learning applications, cryptocurrency modeling, DeFi protocols, robo-advisory systems, and regulatory technology. We encourage contributions from diverse disciplines including finance, mathematics, computer science, and economics. The topics covered in this special issue will include, but are not limited to: behavioral finance in digital contexts, blockchain-based financial instruments, automated market makers, risk management in decentralized systems, and novel computational techniques for digital asset pricing and portfolio optimization.

Dr. Jeffrey Chu
Dr. Stephen Chan
Dr. Yuanyuan Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • digital finance
  • fintech
  • quantitative methods
  • cryptocurrency modeling
  • blockchain technology
  • decentralized finance
  • machine learning
  • automated market makers
  • portfolio optimization

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Published Papers

This special issue is now open for submission.
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