multi-agent hybrid mechanism for financial risk management

Clicks: 212
ID: 150416
2015
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #31 of 58 articles by views in research journal of environmental toxicology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract

Purpose: The goal of this study was to propose the multi-agent mechanism to forecast the corporate financial distress.

Design/methodology/approach: This study utilized numerous methods, namely random subspace method, discriminant analysis and decision tree to construct the multi-agent forecasting model.

Findings and Originality/value: The study shows a superior forecasting performance.

Originality/value: The use of multi-agent model to predict the corporate financial distress.

Reference Key
yan2015journalmulti-agent Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jianyuan Yan;Jui-Jung Liao;Ching-Hui Shih
Journal research journal of environmental toxicology
Year 2015
DOI
10.3926/jiem.1313
URL
http://www.jiem.org/index.php/jiem/article/view/1313
Keywords
hybrid model risk managementindustrial engineering

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.