How the Economic Policy Uncertainty (EPU) impacts FinTech: The implication of P2P lending markets

Fuqin Zhou, Aichih (Jasmine) Chang, Jim Shi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study investigates the impact of state-level Economic Policy Uncertainty (EPU) on FinTech lending marketplace. Leveraging two large-scale Peer-to-Peer (P2P) datasets of LendingClub and Prosper from 2010 to 2019 alongside the news-based EPU index, we unveil a causal relationship between the EPU and both the interest rates and loan amounts. Economically, a one-standard-deviation increase in EPU causes 4.49 and 8.90 basis points change in P2P loan rates, and 1.56% and 1.28% variation in loan amounts, for LendingClub and Prosper, respectively. Furthermore, the national-sourced EPU has a relatively stronger effect on LendingClub, while the state-sourced EPU imposes more impacts on Prosper.

Original languageEnglish (US)
Article number106268
JournalFinance Research Letters
Volume70
DOIs
StatePublished - Dec 2024

All Science Journal Classification (ASJC) codes

  • Finance

Keywords

  • Economic policy uncertainty (EPU)
  • FinTech
  • LendingClub
  • P2P
  • Prosper

Fingerprint

Dive into the research topics of 'How the Economic Policy Uncertainty (EPU) impacts FinTech: The implication of P2P lending markets'. Together they form a unique fingerprint.

Cite this