Chance discovery in credit risk management - Time order method and directed KeyGraph for estimation of chain reaction bankruptcy structure

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Abstract

In this article, chance discovery method is applied to estimate chain reaction bankruptcy structure. Risk of default can be better forecasted by taking chain reaction effect into accont. Time order method and directed KeyGraph are newly introduced to distinguish and express the time order among defaults that is essential information for the analysis of chain reaction bankruptcy. The steps for the data analysis are introduced and result of example analysis with default data in Kyushu, Japan, 2005 is presented. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Goda, S., & Ohsawa, Y. (2008). Chance discovery in credit risk management - Time order method and directed KeyGraph for estimation of chain reaction bankruptcy structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4914 LNAI, pp. 247–254). https://doi.org/10.1007/978-3-540-78197-4_23

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