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The Big Tech Lending Model / Lei Liu, Guangli Lu, Wei Xiong.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Liu, Lei.
Contributor:
National Bureau of Economic Research.
Lu, Guangli.
Xiong, Wei.
Series:
Working Paper Series (National Bureau of Economic Research) no. w30160.
NBER working paper series no. w30160
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2022.
Summary:
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).
Notes:
Print version record
June 2022.

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