Open AccessMulti-agent hybrid mechanism for financial risk management
Author(s) -
Jiang Yan,
JuiJung Liao,
Ching-Hui Shih
Publication year - 2015
Publication title -
journal of industrial engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 29
eISSN - 2013-8423
pISSN - 2013-0953
DOI - 10.3926/jiem.1313
Subject(s) - originality , financial distress , construct (python library) , mechanism (biology) , subspace topology , value (mathematics) , decision tree , computer science , tree (set theory) , artificial intelligence , risk analysis (engineering) , business , machine learning , mathematics , psychology , creativity , social psychology , philosophy , epistemology , programming language , financial system , mathematical analysis
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.