Publication Type

Journal Article

Version

publishedVersion

Publication Date

8-2023

Abstract

This paper provides new evidence on the effects of entry on incumbents’ incentives to innovate by examining the rise of FinTech innovations over the period 2000-2016. We employ machine learning algorithms to classify a large sample of patent applications into five types of FinTech innovations. We then show that greater competition from innovators outside the financial sector increases the probability that incumbent financial firms will innovate. Our identification strategy exploits the variation over time in the share of FinTech patent applications by non-financial start-ups relative to incumbent financial firms, as a proxy for competitive pressures from outside the financial industry. We also find that this increased competition results in a higher number of FinTech patent applications by financial incumbents relative to non-financial ones, especially when the FinTech innovations are more important, as proxied by the number of their future patent citations.

Keywords

FinTech, Patents, Machine learning, Financial incumbents, Innovation

Discipline

Finance and Financial Management | Technology and Innovation

Research Areas

Integrative Research Areas

Publication

Journal of Financial Services Research

Volume

65

Issue

1

First Page

103

Last Page

140

ISSN

0920-8550

Identifier

10.1007/s10693-023-00413-7

Publisher

Springer

Additional URL

https://doi.org/10.1007/s10693-023-00413-7

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