Digital Finance - Call for Papers: Deep Learning in Finance

Overview:

Compared to traditional methods, deep learning, as a powerful tool of possibly overcoming the curse of dimensionality, has brought many benefits in the applications to finance, including but not limited to risk management, fraud detection, algorithm trading, and underwriting. However, there are still quite a few crucial problems needed to be understood, for example, theories on why deep learning algorithms work in financial problems, interpretability and instability of the outputs by deep learning, and risks brought by deep learning into finance. The special issue invites original research papers on the interdisciplinary works of deep learning and financial applications, with emphasis on deep learning algorithms, applications in finance, and fundamental theories. 

Editors of the Special Issue:

Weinan E, Professor, Department of Mathematics and PACM, Princeton University, USA; Director of Beijing Institute of Big Data Research, China.

Ruimeng Hu, Assistant Professor, Department of Mathematics, Department of Statistics and Applied Probability, University of California, Santa Barbara, USA.

Shige Peng, Professor of 1st class, School of Mathematics, Shandong University, China. 

Instructions for Submission:

For submission, authors are requested to access the Editorial Manager at the following URL: https://www.editorialmanager.com/dfin/default.aspx (this opens in a new tab). Please answer ``YES'' when asked if your manuscript belongs to a special issue and select the special issue in the list that will pop up.

Potential authors are reminded that all papers that are finally accepted for this special issue will be subject to format restrictions complying with the publisher's standards. To speed up publication, and to ensure a unified layout throughout the special issue, authors are likely advised to use a LaTex. Springer's LaTex package (Download zip, 188 kB) (this opens in a new tab) can be used to prepare source files (please choose the formatting option "smallextended'"). The authors are highly recommended not to modify the class file by introducing personal settings and/or definitions. Word files are also accepted.

Important Dates:

Deadline for paper submission: 15 June 2022

The first round of review: about three months after submission