Impact of fintech's development on bank performance: An empirical study from Vietnam
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F24%3A63581758" target="_blank" >RIV/70883521:28120/24:63581758 - isvavai.cz</a>
Result on the web
<a href="https://journal.ugm.ac.id/gamaijb/article/view/71040/38338" target="_blank" >https://journal.ugm.ac.id/gamaijb/article/view/71040/38338</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22146/gamaijb.71040" target="_blank" >10.22146/gamaijb.71040</a>
Alternative languages
Result language
angličtina
Original language name
Impact of fintech's development on bank performance: An empirical study from Vietnam
Original language description
In recent years, fintech has exploded in popularity and importance in the financial industry. Its impacts have spread widely throughout the world, including Vietnam. This study aims to investigate the effect of fintech’s development on bank performance in Vietnam. Based on the unstructured data about fintech on the financial expert websites from Vietnam, the word frequency statistic technique of the text mining approach is applied for measuring fintech’s development under the support of Python-based solutions. The bank-level data of 15 Vietnamese banks for the period from the first quarter of 2019 to the second quarter of 2021 are collected from the quarterly financial statements in the Vietstock organization. Python programming and text mining techniques are used to compile this dataset by gathering information from popular and relevant websites. The generalized least squares method is used for estimating the panel models. The estimation result shows the significant impact of fintech’s development on bank profitability, but the net interest margin does not associate with the fintech variable. Besides, some interesting findings are revealed: The slow banking transformation to adapt to the rise of fintech and the COVID-19 pandemic increased bank profitability. Furthermore, suggestions for the banks and fintech companies are recommended, and the limitations and directions for further research are also proposed.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Gadjah Mada International Journal of Business
ISSN
1411-1128
e-ISSN
2338-7238
Volume of the periodical
26
Issue of the periodical within the volume
1
Country of publishing house
ID - INDONESIA
Number of pages
22
Pages from-to
1-22
UT code for WoS article
001143868100004
EID of the result in the Scopus database
2-s2.0-85182491654