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Allowing Blockchain Loans with Low Collateral

Published 13 Jun 2023 in cs.CY, cs.CR, and cs.NI | (2306.11620v1)

Abstract: Collateral is an item of value serving as security for the repayment of a loan. In blockchain-based loans, cryptocurrencies serve as the collateral. The high volatility of cryptocurrencies implies a serious barrier of entry with a common practice that collateral values equal multiple times the value of the loan. As assets serving as collateral are locked, this requirement prevents many candidates from obtaining loans. In this paper, we aim to make loans more accessible by offering loans with lower collateral, while keeping the risk for lenders bound. We use a credit score based on data recovered from the blockchain to predict how likely someone is to repay a loan. Our protocol does not risk the initial amount granted by liquidity providers, but only risks part of the interest yield gained by the protocol in the past.

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References (35)
  1. F. Schär, “Decentralized finance: On blockchain-and smart contract-based financial markets,” Federal Reserve Bank of St. Louis Review, 2021.
  2. S. Dos Santos, J. Singh, R. K. Thulasiram, S. Kamali, L. Sirico, and L. Loud, “A new era of blockchain-powered decentralized finance (DeFi)-a review,” in Computers, Software, and Applications Conference (COMPSAC), 2022.
  3. J. Xu and N. Vadgama, “From banks to DeFi: The evolution of the lending market,” CoRR, vol. abs/2104.00970, 2021.
  4. S. Cousaert, N. Vadgama, and J. Xu, “Token-based insurance solutions on blockchain,” CoRR, vol. abs/2109.07902, 2021.
  5. L. Gudgeon, S. Werner, D. Perez, and W. J. Knottenbelt, “DeFi protocols for loanable funds: Interest rates, liquidity and market efficiency,” in ACM Conference on Advances in Financial Technologies (AFT), 2020.
  6. S. M. Werner, D. Perez, L. Gudgeon, A. Klages-Mundt, D. Harz, and W. J. Knottenbelt, “Sok: Decentralized finance (DeFi),” arXiv preprint arXiv:2101.08778, 2021.
  7. D. Wang, S. Wu, Z. Lin, L. Wu, X. Yuan, Y. Zhou, H. Wang, and K. Ren, “Towards understanding flash loan and its applications in DeFi ecosystem,” arXiv preprint arXiv:2010.12252, 2020.
  8. K. Qin, L. Zhou, B. Livshits, and A. Gervais, “Attacking the DeFi ecosystem with flash loans for fun and profit,” in International Conference on Financial Cryptography and Data Security, 2021.
  9. A. Yaish, S. Tochner, and A. Zohar, “Blockchain stretching & squeezing: Manipulating time for your best interest,” in ACM Conference on Economics and Computation, 2022.
  10. K. Babel, P. Daian, M. Kelkar, and A. Juels, “Clockwork finance: Automated analysis of economic security in smart contracts,” arXiv preprint arXiv:2109.04347, 2021.
  11. K. Qin, L. Zhou, P. Gamito, P. Jovanovic, and A. Gervais, “An empirical study of DeFi liquidations: Incentives, risks, and instabilities,” in ACM Internet Measurement Conference, 2021.
  12. J. Chiu, E. Ozdenoren, K. Yuan, and S. Zhang, “On the inherent fragility of DeFi lending,” 2022.
  13. S. Lessmann, B. Baesens, H.-V. Seow, and L. C. Thomas, “Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research,” European Journal of Operational Research, vol. 247, no. 1, pp. 124–136, 2015.
  14. H. Byström, “Blockchains, real-time accounting, and the future of credit risk modeling,” Ledger, vol. 4, 2019.
  15. [Online]. Available: https://v2.aavewatch.com/
  16. [Online]. Available: https://compound.finance/markets
  17. [Online]. Available: https://defillama.com/
  18. [Online]. Available: https://oasis.app/#earn
  19. [Online]. Available: https://www.oxfordlearnersdictionaries.com/definition/english/credit-score
  20. A. E. Khandani, A. J. Kim, and A. W. Lo, “Consumer credit-risk models via machine-learning algorithms,” Journal of Banking & Finance, vol. 34, no. 11, pp. 2767–2787, 2010.
  21. [Online]. Available: https://docs.roci.fi/
  22. [Online]. Available: https://wiki.arcx.money/welcome/arcx-credit-introduction
  23. [Online]. Available: https://www1.creda.app/home
  24. [Online]. Available: https://scoring.trava.finance/
  25. [Online]. Available: https://quadrata.com/#home
  26. [Online]. Available: https://credefi.finance/#home
  27. [Online]. Available: https://www.spectral.finance/
  28. [Online]. Available: https://truefi.io/
  29. [Online]. Available: https://telefy.finance/#/
  30. [Online]. Available: https://developers.masa.finance/docs/masa/introduction/
  31. M. Šušteršič, D. Mramor, and J. Zupan, “Consumer credit scoring models with limited data,” Expert Systems with Applications, vol. 36, no. 3, pp. 4736–4744, 2009.
  32. W. Wolf, A. Henry, H. A. Fadel, X. Quintuna, and J. Gay, “Scoring Aave accounts for creditworthiness,” arXiv preprint arXiv:2207.07008, 2022.
  33. Y. Han, H. Chen, Z. Qiu, L. Luo, and G. Qian, “A complete privacy-preserving credit score system using blockchain and zero knowledge proof,” in IEEE International Conference on Big Data (Big Data), 2021.
  34. J. I. Bulow and K. S. Rogoff, “Sovereign debt: Is to forgive to forget?” National Bureau of Economic Research Cambridge, Mass., 1988.
  35. [Online]. Available: https://app.compound.finance/markets?market=1_USDC_0xc3d688B66703497DAA19211EEdff47f25384cdc3
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