Deep Learning Solution to Various Issues of Finance, A Productive Research Approach

Raman R.; Buddhi D.; Gor M.; Ratnavalli B.; Saini D.; Luis Arias Gonzales J. · 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 (2023) · DOI: 10.1109/icacite57410.2023.10182850

Resumen

Natural language processing, audio-visual recognition and computer vision all make extensive use of deep learning. Research is becoming increasingly interested as a result of deep learning's resounding success as a computational tool. Deep learning is being used in financial and banking services as a result of Fintech's recent growth. The extant literature does not, however, provide a comprehensive overview of deep learning's uses in banking and finance. The goal of this study is to give a thorough review of the model preparation, input variables, and model evaluation by reviewing and analyzing the work on the use of deep models in the major financial and banking domains. Last but not least, we go through three factors that could influence how financial deep learning models perform. Insight and recommendations on the state-of-the-art of deep learning models' use in banking and finance are given to academics and practitioners by this study.

Instituciones: Pontificia Universidad Católica del Perú