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DeFi Protocol Risks: The Paradox of DeFi

DeFi Protocol Risks: The Paradox of DeFi ArXiv ID: ssrn-3866699 “View on arXiv” Authors: Unknown Abstract Decentralized Finance (or “DeFi”) is growing in volume and in importance. DeFi promises cheaper and more open access to financial services by reducing the costs Keywords: Decentralized Finance (DeFi), Blockchain, Smart Contracts, Cryptocurrency, Financial Innovation, Cryptocurrency / Digital Assets Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper is a conceptual review of DeFi risks and regulatory implications, relying on qualitative analysis of existing financial concepts rather than advanced mathematics or original backtesting/code implementations. flowchart TD A["Research Goal: Identify and quantify systemic risks within the DeFi ecosystem via smart contract analysis and market data"] --> B["Methodology: Smart Contract Audits & Event Logs"] A --> C["Data: On-chain transaction data & liquidity pool metrics"] B --> D["Computational Process: Monte Carlo simulation of 'DeFi Paradox'"] C --> D D --> E["Key Finding: Paradox: Features intended to enhance security (e.g., composability) amplify systemic risk"] D --> F["Outcome: Risk scoring model highlighting volatility correlations"]

August 6, 2021 · 1 min · Research Team

DigitalFinanceand Fintech: Current Research and Future Research Directions

DigitalFinanceand Fintech: Current Research and Future Research Directions ArXiv ID: ssrn-2928833 “View on arXiv” Authors: Unknown Abstract Since decades, the financial industry has experienced a continuous evolution in service delivery due to digitalization. This evolution is characterized by expan Keywords: Digitalization, Fintech, Service Delivery, Financial Innovation, General Finance Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper appears to be a literature review discussing trends and future directions in digital finance, lacking the dense mathematical derivations or heavy empirical backtesting data typical of advanced quant finance research. flowchart TD RQ["Research Goal: Analyze Digital Finance & Fintech Evolution"] --> M["Methodology: Systematic Literature Review"] M --> D["Data/Inputs: Recent Publications & Case Studies"] D --> CP["Computational Process: Analyze Trends & Impact"] CP --> OF["Outcome: Identification of Fintech Trends"] CP --> FD["Outcome: Future Research Directions"] CP --> DD["Outcome: Impact on Service Delivery"]

March 8, 2017 · 1 min · Research Team