Limitations of knowledge-based systems for financial analysis in banking

摘要

Financial analysis is considered to be a knowledge-intensive task, involving knowledge from several areas. Nowadays, banking is exploring knowledge-based systems to improve operational efficiency and customer relations while currently reducing costs. Financial analysis is one of the promising areas for these kinds of applications. This article discusses limitations of the utilization of knowledge-based systems within financial analysis (i.e., the lack of a theoretical framework for such analysis). Furthermore, we show how some of these limitations have been met in the design and implementation of the KABAL system, which is a knowledge-based system for financial analysis. (Kabal is the Norwegian word for patience.)