Explainable artificial intelligence for digital finance and consumption upgrading

Linjiang Zhou, Xiaochuan Shi, Yaxiong Bao, Lihua Gao and Chao Ma

Finance Research Letters, 2023, vol. 58, issue PC

Abstract: Recently, the role of digital finance in promoting consumer upgrades has become increasingly evident. By applying boosting trees and Shapley values, we proposed an explainable artificial intelligence method to obtain more effective analysis results than those obtained using linear regression models.

Keywords: Explainable artificial intelligence; Machine learning; Shapley values; Digital finance; Consumption upgrading (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (25)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323008619

DOI: 10.1016/j.frl.2023.104489

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