| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w30160 |
| 来源ID | Working Paper 30160 |
| The Big Tech Lending Model | |
| Lei Liu; Guangli Lu; Wei Xiong | |
| 发表日期 | 2022-06-20 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | By comparing uncollateralized business loans made by a big tech lending program with conventional bank loans, we find that big tech loans tend to be smaller and have higher interest rates and that borrowers of big tech loans tend to repay far before maturity and borrow more frequently. These patterns remain for borrowers with access to bank credit. Our findings highlight the big tech lender’s roles in serving borrowers’ short-term liquidity rather than their long-term financing needs. Through this model, big tech lending facilitates credit to borrowers underserved by banks without experiencing more-severe adverse selection or incurring greater risks than banks (even during the COVID-19 crisis). |
| 主题 | Financial Economics ; Financial Institutions |
| URL | https://www.nber.org/papers/w30160 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/587834 |
| 推荐引用方式 GB/T 7714 | Lei Liu,Guangli Lu,Wei Xiong. The Big Tech Lending Model. 2022. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w30160.pdf（573KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
