Multi-agent hybrid mechanism for financial risk management | Zendy

Jianyuan Yan | Zendy; JuiJung Liao | Zendy; Ching-Hui Shih | Zendy

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Multi-agent hybrid mechanism for financial risk management

Author(s) -

Jianyuan 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.

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