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.
|Number of pages||12|
|Journal||Expert Systems with Applications|
|Publication status||Published - 2007 Apr|
Bibliographical noteFunding 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
- Computer Science Applications
- Artificial Intelligence