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Fintech, financial inclusion, digital currency, and CBDC

Cao, Huining; Huang, Yi; Huang, Yiping; Yeung, Bernard; … - In: The Journal of finance and data science : JFDS 9 (2023), pp. 1-8

Persistent link: https://www.econbiz.de/10014514188

Fintech development in the People's Republic of China and its macroeconomic implications

Huang, Yiping - 2020

FinTech has been transforming the financial landscape in the People’s Republic of China. Its leading FinTech businesses such as mobile payment services and big data-based online lending are at the frontier of global development. At the same time, it also creates new problems, illustrated by...

Persistent link: https://www.econbiz.de/10012262626

The digital financial revolution in China

Guo, Feng; Wang, Jingyi; Klein, Aaron; Wang, Xun; Shen, Yan - Brookings Institution - 2022

Persistent link: https://www.econbiz.de/10014022120

The use and disuse of FinTech credit : when buy-now-pay-later meets credit reporting

Dong, Yanfei; Hu, Jiayin; Huang, Yiping; Qiu, Han; … - 2025

Persistent link: https://www.econbiz.de/10015206733

Digital finance in Asia : editors' overview

Huang, Yiping; Itō, Takatoshi; Iwata, Kazumasa; … - In: Asian economic policy review : AEPR 17 (2022) 2, pp. 163-182

Persistent link: https://www.econbiz.de/10013326939

Chinese fintech innovation and regulation

Chorzempa, Martin; Huang, Yiping - In: Asian economic policy review : AEPR 17 (2022) 2, pp. 274-292

Persistent link: https://www.econbiz.de/10013326991

Comments on "Chinese fintech innovation and regulation"

Lee, Jong-Wha - In: Asian economic policy review : AEPR 17 (2022) 2, pp. 293-294

Persistent link: https://www.econbiz.de/10013326992

Comment on "Chinese fintech innovation and regulation"

Ehrentraud, Johannes - In: Asian economic policy review : AEPR 17 (2022) 2, pp. 295-296

Persistent link: https://www.econbiz.de/10013326993

Buy now, pay later as liquidity insurance : evidence from an early experiment in China

Ji, Yang; Wang, Xue; Huang, Yiping; Chen, Shu; Wang, Fang - In: China economic review : an international journal 80 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014337095

How Do Machine Learning and Non-Traditional Data Affect Credit Scoring? New Evidence from a Chinese Fintech Firm

Gambacorta, Leonardo - 2020

This paper compares the predictive power of credit scoring models based on machine learning techniques with that of traditional loss and default models. Using proprietary transaction-level data from a leading fintech company in China for the period between May and September 2017, we test the...

Persistent link: https://www.econbiz.de/10012845707