---
title: Fintech Lending Impact on Small Business Credit
url: https://www.ml-quant.com/papers/repec/eee-finsta-v-73-y-2024-i-c-s1572308924000755/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:finsta:v:73:y:2024:i:c:s1572308924000755
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1572308924000755%3Bh%3Drepec%3Aeee%3Afinsta%3Av%3A73%3Ay%3A2024%3Ai%3Ac%3As1572308924000755
featured: 2024-08-07
citations: unknown
topic: Risk, Credit & Banking
---


# Fintech Lending Impact on Small Business Credit

Fintech lenders are using alternative data and complex models to provide loans to small businesses in high-risk areas, potentially filling the credit void left by traditional lenders.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1572308924000755%3Bh%3Drepec%3Aeee%3Afinsta%3Av%3A73%3Ay%3A2024%3Ai%3Ac%3As1572308924000755
- Identifier: RePEc:eee:finsta:v:73:y:2024:i:c:s1572308924000755
- Released: 2024-08-07
- First featured: Quant Letter No. 60 (2024-08-07): https://www.ml-quant.com/issues/2024-08-07/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

## Related

- [Satellite Data for Climate Finance](https://www.ml-quant.com/papers/ssrn/4948587/): Satellite data from Earth Observation systems could aid in creating green financial products by filling data gaps, as per a central banking viewpoint.
- [Alternative Data for Credit Scoring](https://www.ml-quant.com/papers/ssrn/4852032/): The study shows that retail transaction data can be used to generate credit scores for unbanked individuals, leading to higher credit card approval rates.
- [Alternative Data and Trade Credit Financing](https://www.ml-quant.com/papers/repec/eee-finlet-v-58-y-2023-i-pb-s1544612323008413/): The research reveals that the use of alternative data, specifically online sales data, boosts trade credit financing for firms in China.
- [Risk sharing with lambda value-at-risk under heterogeneous beliefs](https://www.ml-quant.com/papers/arxiv/2408.03147/): The research investigates risk distribution among multiple parties using Lambda value at risk, offering formulas for optimal allocations under differing beliefs.
- [Adaptive Multilevel Stochastic Approximation of the Value-at-Risk](https://www.ml-quant.com/papers/arxiv/2408.06531/): The paper introduces a multilevel stochastic approximation algorithm that adaptively selects the number of inner samples to compute the value-at-risk of a financial loss, improving the previous scheme's complexity.
- [Global balance and systemic risk in financial correlation networks](https://www.ml-quant.com/papers/arxiv/2407.14272/): The study proves that the global balance index of financial correlation networks can effectively measure systemic risk, as confirmed by its application to real financial data.
