JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Automatic classification according to risk to the corporate performance contained in timely disclosures of company information
Daisuke YANOHiroyuki SAKAIRyozo KITAJIMAYasuo HIROITsutomu MURAYAMAKei KAWAINoboru NISHIYAMA
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2018 Volume 2018 Issue FIN-021 Pages 66-

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Abstract

In this paper, we propose a method for classifying timely disclosures of company information with risk to the corporate performance by using deep learning. For example, our method classifies a timely disclosure "A notice of recording a extraordinary loss" as "Including risk". Moreover, our method classifies the timely disclosure as "Extraordinary loss". Our method makes timely disclosures of company information easy to see and investors will be useful to make investment decisions. We evaluate our method and it attained 87.4% accuracy.

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