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.
Highlights
Financial securities firms in Taiwan have developed quickly in recent years, with the ability to provide more information for decision makers to conduct financial investments
The prediction of corporate financial distress is an important and challenging issue that has served as an impetus for many academic research studies over the past decades
The objective of this study is to utilize the attributes of intangible assets as predictive variables and to propose a multi-agent hybrid mechanism, MAHM, to increase preciseness in the prediction of corporate financial distress
Summary
Financial securities firms in Taiwan have developed quickly in recent years, with the ability to provide more information for decision makers to conduct financial investments. Even 1% improvement in a mechanism’s forecasting performance will help prevent great losses to firms and individuals (Hand & Henley, 1997) For this reason, predicting financial distress has become much more important and caught numerous researchers’ attention due to economic markets slowing down or even going into a depression (Lin, 2009)
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