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Intelligent Classification and Ranking Analyses Using CARBS: Bank Rating Applications

Intelligent Classification and Ranking Analyses Using CARBS: Bank Rating Applications
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Author(s): Malcolm J. Beynon (Cardiff University, UK)
Copyright: 2009
Pages: 18
Source title: Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery
Source Author(s)/Editor(s): Hsiao-Fan Wang (National Tsing Hua University, ROC)
DOI: 10.4018/978-1-59904-982-3.ch014

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Abstract

This chapter demonstrates intelligent data analysis, within the environment of uncertain reasoning, using the recently introduced CaRBS technique that has its mathematical rudiments in Dempster-Shafer theory. A series of classification and ranking analyses are undertaken on a bank rating application, looking at Moody’s bank financial strength rating (BFSR). The results presented involve the association of each bank to being low or high BFSR, with emphasis is on the graphical exposition of the results including the use of a series of simplex plots. Throughout the analysis there is discussion on how the present of ignorance in the results should be handled, whether it should be excluded (belief) or included (plausibility) in the evidence supporting the classification or ranking of the banks.

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