Resource title

Rating Companies with Support Vector Machines

Resource image

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Resource description

The goal of this work is to introduce one of the most successful among recently developed statistical techniques – the support vector machine (SVM) – to the field of corporate bankruptcy analysis. The main emphasis is done on implementing SVMs for analysing predictors in the form of financial ratios. A method is proposed of adapting SVMs to default probability estimation. A survey of practically and commercially applied methods is given. This work proves that support vector machines are capable of extracting useful information from financial data although extensive data sets are required in order to fully utilise their classification power.

Resource author

Dirk Schäfer, R. A. Moro, Wolfgang Karl Härdle

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/18111

Resource license

Adapt according to the presented license agreement and reference the original author.