Semantic Scholar Open Access 2020 218 sitasi

Deep learning in finance and banking: A literature review and classification

Jian Huang J. Chai Stella Cho

Abstrak

Deep learning has been widely applied in computer vision, natural language processing, and audio-visual recognition. The overwhelming success of deep learning as a data processing technique has sparked the interest of the research community. Given the proliferation of Fintech in recent years, the use of deep learning in finance and banking services has become prevalent. However, a detailed survey of the applications of deep learning in finance and banking is lacking in the existing literature. This study surveys and analyzes the literature on the application of deep learning models in the key finance and banking domains to provide a systematic evaluation of the model preprocessing, input data, and model evaluation. Finally, we discuss three aspects that could affect the outcomes of financial deep learning models. This study provides academics and practitioners with insight and direction on the state-of-the-art of the application of deep learning models in finance and banking.

Topik & Kata Kunci

Penulis (3)

J

Jian Huang

J

J. Chai

S

Stella Cho

Format Sitasi

Huang, J., Chai, J., Cho, S. (2020). Deep learning in finance and banking: A literature review and classification. https://doi.org/10.1186/s11782-020-00082-6

Akses Cepat

Lihat di Sumber doi.org/10.1186/s11782-020-00082-6
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
218×
Sumber Database
Semantic Scholar
DOI
10.1186/s11782-020-00082-6
Akses
Open Access ✓