This paper introduces a statistical technique, Support Vector Machines (SVM), which is considered by the Deutsche Bundesbank as an alternative for company rating. A special attention is paid to the features of the SVM which provide a higher accuracy of company classification into solvent and...

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...

Diese Arbeit untersucht die Anwendung von Support Vektor Machines (SVMs) zur Vorhersage der Insolvenz von deutschen Unternehmen. Die Vorhersage basiert auf 24 finanziellen Kennzahlen, die in vier Kategorien unterteilt sind: Profitabilität, Fremdfinanzierung, Liquidität und Aktivität. SVMs...

This thesis presents and compares the performance of two recently developed classification methods namely the Spatial Stagewise Aggregation procedure and Support Vector Machines. Both techniques are convenient for the application to corporate bankruptcy analysis, in terms of calculation of...

In this study, a new discriminative learning framework, called soft margin estimation (SME), is proposed for estimating the parameters of continuous density hidden Markov models (HMMs). The proposed method makes direct use of the successful ideas of margin in support vector machines to improve...

In regression, the desired estimate of y|x is not always given by a conditional mean, althoughthis is most common. Sometimes one wants to obtain a good estimate that satisfies the propertythat a proportion, t, of y|x, will be below the estimate. For t = 0.5 this is an estimate of themedian. What...

We present a novel approach for measuring democracy based on Support Vector Machines, a mathematical algorithm for pattern recognition. The Support Vector Machines Democracy Index (SVMDI) is continuously on the 0-1-interval and enables a very detailed measurement of democracy for 188 countries...

Institutional settings play a key role in shaping land cover and land use. Our goal was to understand the effects of institutional changes on agricultural land abandonment in different countries of Eastern Europe and the former Soviet Union after the collapse of socialism. We studied ∼273 800...

The aim of this study is to forecast credit ratings of E.U. banking institutions, as dictated by Credit Rating Agencies (CRAs). To do so, we developed alternative forecasting models that determine the non-disclosed criteria used in rating. We compiled a sample of 112 E.U. banking institutions,...

We propose a hybrid classical-quantum approach for modeling transition probabilities in health and disability insurance. The modeling of logistic disability inception probabilities is formulated as a support vector regression problem. Using a quantum feature map, the data are mapped to quantum...