Innovative Risk Management Solutions in DeFi: A Study of Tracking Platforms

Imran Hussain Shah
International Journal of Economics and Business Administration, Volume XIII, Issue 2, 185-203, 2025
DOI: 10.35808/ijeba/890

Abstract:

Purpose: This study provides a user-prioritized, data-driven framework for evaluating DeFi risk management platforms and offers actionable insights for developers, investors, and regulators seeking to enhance the transparency, security, and sustainability of the DeFi ecosystem. Design/Methodology/Approach: This study investigates the effectiveness of six leading DeFi tracking platforms—Chainalysis, Elliptic, Nansen, Dune Analytics, DeBank, and Etherscan—in mitigating these risks. Employing a mixed-methods approach, the research integrates survey data (n = 138), expert interviews, and platform metrics, analyzed through advanced statistical techniques such as T-Test, MANOVA, Logistic Regression, Kruskal–Wallis H Test, Cohen’s D Effect Size, Survival Analysis, Cluster Analysis, and a Utility-Based Scoring Model. Findings: Results reveal significant differences in platform performance, with Chainalysis and Etherscan emerging as top performers in compliance and usability, respectively. Practical Implications: The rapid expansion of Decentralized Finance (DeFi) has revolutionized financial services by eliminating intermediaries and enabling peer-to-peer interactions through blockchain-based smart contracts. However, this innovation introduces significant risk management challenges, including smart contract vulnerabilities, transaction opacity, and compliance limitations. Originality value: The utility model highlights the importance of real-time alerts, trust, and compliance tools in platform adoption.


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