Table 1 FinTech and bank performance literature summary.
Authors | Period | Approach to analyze | Findings |
|---|---|---|---|
Cheng and Qu 2020) | 2008–2017 | Analysis by regression | (−) Credit risk |
Phan et al. (2020) | 1998–2017 | Analysis by regression | (−) Bank performance |
Katsiampa et al. (2022) | 2013–2019 | Analysis by regression | (−) Bank performance |
Zhao et al. (2022) | 2003–2018 | Dynamic GMM estimator (Two-step system), | (+) Bank CAR (−) EPS & Asset quality |
Wang et al. (2021) | 2008–2017 | Analysis by regression | (+) Total productivity |
Keliuotytė-Staniulėnienė & Smolskytė (2019) | 2010–2017 | Panel data fixed effects regression | (+) Bank performance |
Nguyen et al. (2022) | 2013–2018 | Analysis by regression | (−) ROE (+) ROE & RAROA |
Chen et al. (2019) | 2003–2017 | Machine learning regression analysis | (+) Financial sector |
Lee et al. (2021) | 2003–2017 | Dynamic panel GMM | (+) Cost efficiency |
Tang (2019) | 2009–2012 | Analysis by regression | P2P systems complement and replace banks. |
Li et al. (2022) | 2003–2019 | FinTech textual analysis, regression analysis | (−) Bank performance |
