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Deep learning in finance and banking: A literature review and classification
Frontiers of Business Research in China Pub Date : 2020-06-08 , DOI: 10.1186/s11782-020-00082-6
Jian Huang , Junyi Chai , Stella Cho

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.

中文翻译:

金融和银行业的深度学习:文献综述和分类

深度学习已广泛应用于计算机视觉、自然语言处理和视听识别等领域。深度学习作为一种数据处理技术的巨大成功引起了研究界的兴趣。鉴于近年来金融科技的普及,深度学习在金融和银行服务中的使用变得普遍。然而,现有文献中缺乏对深度学习在金融和银行业中应用的详细调查。本研究调查并分析了深度学习模型在关键金融和银行领域应用的文献,以对模型预处理、输入数据和模型评估进行系统评估。最后,我们讨论了可能影响金融深度学习模型结果的三个方面。
更新日期:2020-06-08
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