Financial market monitoring by case-based reasoning

Kyong Joo Oh, Tae Yoon Kim

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


This paper shows that case-based reasoning (CBR), an artificial intelligence technique, is a quite efficient tool in monitoring financial market against its possible collapse. For this purpose, daily financial condition indicator (DFCI) monitoring financial market is built on CBR and its performance is compared to DFCI on neural network. This study is empirically done for the Korean financial market.

Original languageEnglish
Pages (from-to)789-800
Number of pages12
JournalExpert Systems with Applications
Issue number3
Publication statusPublished - 2007 Apr

Bibliographical note

Funding Information:
This research was supported by the Program for the Training of Graduate Students in Regional Innovation which was conducted by the Ministry of Commerce Industry and Energy of the Korean Government.

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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