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This thesis examines the added value of modern approaches of balance sheet analysis for the external analyst. When talking about modern approaches of balance sheet analysis, scoring models, qualitative analysis, discriminant analysis and artificial neural networks are meant. On the basis of an extensive literature research, it is examined to what extent these approaches can overcome the weaknesses of the traditional balance sheet analysis.