Paper: arXiv 2212.05734
Authors: Kanis Saengchote
Abstract
Permissionless blockchains offer an information environment where users can interact privately without fear of censorship. Financial services can be programmatically coded via smart contracts to automate transactions without the need for human intervention or knowing user identity. This new paradigm is known as decentralized finance (DeFi). We investigate Compound (a leading DeFi lending protocol) to show how it works in this novel information environment, who its users are, and what factors determine their participation. On-chain transaction data shows that loan durations are short (31 days on average), and many users borrow to support leveraged investment strategies (yield farming). We show that systemic risk in DeFi arises from concentration and interconnection, and how traditional risk management practices can be challenging for DeFi.
Complexity vs Empirical Score
- Math Complexity: 2.5/10
- Empirical Rigor: 7.5/10
- Quadrant: Street Traders — practical and empirical, lighter on theory
Why this score: The paper provides a strong empirical analysis of transaction data from the Compound protocol, uncovering key insights about user behavior, leverage, and systemic risk in DeFi. While it lacks complex mathematical derivations or advanced formal modeling, its granular data analysis and descriptive statistics offer significant novelty and practical clarity.
Research Flowchart
flowchart TD
A["Research Goal: Investigate Compound DeFi Protocol<br/>(User Behavior & Systemic Risk)"] --> B["Data Collection: On-Chain Compound Transactions"]
B --> C["Data Analysis: User Activity, Loan Duration & Collateral Connections"]
C --> D["Identify Primary Use Cases<br/>(Yield Farming & Leveraged Investment)"]
C --> E["Evaluate Risk Patterns<br/>(Concentration & Interconnection)"]
D --> F["Key Findings:<br/>- Short Average Loan Duration (31 Days)<br/>- High Systemic Risk from DeFi Interconnection<br/>- Traditional Risk Management Challenges"]
E --> F