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EN
Fintech Applications in the Financial System: Risks and Opportunities
Abstract
Recent technological innovations in the financial markets in the world and Turkish economy have increased the determining power in both individual and corporate economic decisions. Rapid transformations in financial technologies in both domestic and international markets have become an important determinant in competition among firms. In market economies that can keep pace with financial technological innovations, financing diversity has increased and the barriers to accessing financial resources have decreased. Increasing financial depth and international competition further increase the importance of financial technologies and the economic determinant role of Fintechs is becoming more important day by day. In this context, this study analyses the recent transformations in financial technologies (Fintech), financial technological innovations and instruments, and discusses the opportunities and risks offered to economic actors by the developments in the related instruments.
Keywords
Etik Beyan
This study has been prepared in accordance with scientific research and publication ethics.
Kaynakça
- Akın, F. (2020). Dijital Dönüşümün Bankacılık Sektörü Üzerindeki Etkileri. Balkan & Near Eastern Journal of Social Sciences (BNEJSS), 6(2).
- Alpaydın, E. (2020). Introduction to Machine Learning. Birleşik Krallık: MIT Press.
- Altunbaş, C. (2021). Derin öğrenme ile hisse senedi piyasası tahmini (Master's thesis, Aydın Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü).
- Apple Support ‘’IPv6 güvenliği’’ (son erişim tarihi:30/11/2023). https://support.apple.com/tr-tr/guide/security/seccb625dcd9/web
- Arner, D., Barberis, J., Buckley, R. (2016). The evolution of fintech: a new post -crisis paradigm? Sidney, Australia: University of New South Wales - Hong Kong Faculty of Law)
- Ashton, K. (2009). That ‘internet of things’ thing. RFID journal, 22(7), 97-114.
- Baker, M., & Wurgler, J. (2002). Market timing and capital structure. The journal of finance, 57(1), 1-32.
- Barboza, F., Kımura, H., Altman, E. (2017). Machine learning models and bankruptcy prediction. Expert Systems with Applications, 83, 405-417.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Finansal Ekonomi
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
11 Mart 2024
Yayımlanma Tarihi
31 Aralık 2023
Gönderilme Tarihi
25 Kasım 2023
Kabul Tarihi
1 Aralık 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 1 Sayı: 2