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Predicting Credit Bond Default with Deep Learning:Evidence from China

Ning Zhang Wenhe Li Haoxiang Chen Binshu Jia Pei Deng

社会系统计算科学(英文)2024,Vol.5Issue(1):36-45,10.
社会系统计算科学(英文)2024,Vol.5Issue(1):36-45,10.DOI:10.23919/JSC.2024.0005

Predicting Credit Bond Default with Deep Learning:Evidence from China

Predicting Credit Bond Default with Deep Learning:Evidence from China

Ning Zhang 1Wenhe Li 1Haoxiang Chen 1Binshu Jia 2Pei Deng1

作者信息

  • 1. School of Information,Central University of Finance and Economics,Beijing 100081,China
  • 2. SDIC Taikang Trust Co.,Ltd.,Beijing 100034,China
  • 折叠

摘要

关键词

credit bond default/prediction/convolutional neural network/imbalanced data processing/generative adversarial network

Key words

credit bond default/prediction/convolutional neural network/imbalanced data processing/generative adversarial network

引用本文复制引用

Ning Zhang,Wenhe Li,Haoxiang Chen,Binshu Jia,Pei Deng..Predicting Credit Bond Default with Deep Learning:Evidence from China[J].社会系统计算科学(英文),2024,5(1):36-45,10.

社会系统计算科学(英文)

2688-5255

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