Loan portfolio dataset from MakerDAO blockchain project
Decentralized finance (DeFi) offers a range of financial instruments and services that leverage the capabilities of web3 technology. Maker protocol, which enables users to obtain loans backed by cryptocurrencies, is one of them. Unlike traditional banks, Maker's data is transparently recorded o...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Online Access: | https://hdl.handle.net/10356/178559 |
| _version_ | 1811679118986575872 |
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| author | Chaleenutthawut, Yatipa Davydov, Vyacheslav Evdokimov, Michael Kasemsuk, Sudarut Kruglik, Stanislav Melnikov, Grigorii Yanovich, Yury |
| author2 | School of Physical and Mathematical Sciences |
| author_facet | School of Physical and Mathematical Sciences Chaleenutthawut, Yatipa Davydov, Vyacheslav Evdokimov, Michael Kasemsuk, Sudarut Kruglik, Stanislav Melnikov, Grigorii Yanovich, Yury |
| author_sort | Chaleenutthawut, Yatipa |
| collection | NTU |
| description | Decentralized finance (DeFi) offers a range of financial instruments and services that leverage the capabilities of web3 technology. Maker protocol, which enables users to obtain loans backed by cryptocurrencies, is one of them. Unlike traditional banks, Maker's data is transparently recorded on the Ethereum blockchain. In this research paper, we focus on analyzing the lending aspect of Maker from a traditional finance perspective. To achieve this, we create a unique dataset with loan portfolios from the MakerDAO project, making it the first dataset of its kind in the DeFi field. This publicly available dataset contains essential financial characteristics related to borrowing, including balance, loss given default, annual equivalent rate, and probability of default. Additionally, we develop a specialized mathematical model tailored specifically to this project. This model allows us to estimate the probability of default by considering the presence of crypto-collateral and utilizing Brownian motion passage levels. The results of this study provide valuable insights into lending practices in DeFi projects. They also help bridge the gap between traditional finance and blockchain-based financial services. |
| first_indexed | 2024-10-01T03:04:05Z |
| format | Journal Article |
| id | ntu-10356/178559 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:04:05Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1785592024-07-01T15:34:40Z Loan portfolio dataset from MakerDAO blockchain project Chaleenutthawut, Yatipa Davydov, Vyacheslav Evdokimov, Michael Kasemsuk, Sudarut Kruglik, Stanislav Melnikov, Grigorii Yanovich, Yury School of Physical and Mathematical Sciences Mathematical Sciences Blockchain Decentralized finance Decentralized finance (DeFi) offers a range of financial instruments and services that leverage the capabilities of web3 technology. Maker protocol, which enables users to obtain loans backed by cryptocurrencies, is one of them. Unlike traditional banks, Maker's data is transparently recorded on the Ethereum blockchain. In this research paper, we focus on analyzing the lending aspect of Maker from a traditional finance perspective. To achieve this, we create a unique dataset with loan portfolios from the MakerDAO project, making it the first dataset of its kind in the DeFi field. This publicly available dataset contains essential financial characteristics related to borrowing, including balance, loss given default, annual equivalent rate, and probability of default. Additionally, we develop a specialized mathematical model tailored specifically to this project. This model allows us to estimate the probability of default by considering the presence of crypto-collateral and utilizing Brownian motion passage levels. The results of this study provide valuable insights into lending practices in DeFi projects. They also help bridge the gap between traditional finance and blockchain-based financial services. Published version The work of Vyacheslav Davydov was supported by the Basic Research Program at HSE University. 2024-06-26T02:10:55Z 2024-06-26T02:10:55Z 2024 Journal Article Chaleenutthawut, Y., Davydov, V., Evdokimov, M., Kasemsuk, S., Kruglik, S., Melnikov, G. & Yanovich, Y. (2024). Loan portfolio dataset from MakerDAO blockchain project. IEEE Access, 12, 24843-24854. https://dx.doi.org/10.1109/ACCESS.2024.3363225 2169-3536 https://hdl.handle.net/10356/178559 10.1109/ACCESS.2024.3363225 2-s2.0-85184831460 12 24843 24854 en IEEE Access © 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ application/pdf |
| spellingShingle | Mathematical Sciences Blockchain Decentralized finance Chaleenutthawut, Yatipa Davydov, Vyacheslav Evdokimov, Michael Kasemsuk, Sudarut Kruglik, Stanislav Melnikov, Grigorii Yanovich, Yury Loan portfolio dataset from MakerDAO blockchain project |
| title | Loan portfolio dataset from MakerDAO blockchain project |
| title_full | Loan portfolio dataset from MakerDAO blockchain project |
| title_fullStr | Loan portfolio dataset from MakerDAO blockchain project |
| title_full_unstemmed | Loan portfolio dataset from MakerDAO blockchain project |
| title_short | Loan portfolio dataset from MakerDAO blockchain project |
| title_sort | loan portfolio dataset from makerdao blockchain project |
| topic | Mathematical Sciences Blockchain Decentralized finance |
| url | https://hdl.handle.net/10356/178559 |
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