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Credit Scoring and the Creation of a Generic Predictive Model Using Countries’ Similarities Based on European Values Study

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Enterprise Applications, Markets and Services in the Finance Industry (FinanceCom 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 276))

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Abstract

Starting with a new product in a new market brings companies a lot of risks and costs. There are companies, who can provide generic scoring models, but usually the accuracy of generic models is not sufficient and they are expensive. The possibility to create a generic predictive model based on a similar country model has been studied. The European Values Study and GESIS Data Archive have been used for research and the similarity coefficient has been calculated and used in the model. The results show that it is possible to build a new model using data from another, similar country and thus minimize costs and risks.

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Notes

  1. 1.

    http://www.gesis.org/en/services/publications/gesis-papers/.

  2. 2.

    https://www.bisnode.com/international/.

  3. 3.

    https://www.instantor.com/.

  4. 4.

    EVS (2011): European Values Study 2008: Integrated Dataset (EVS 2008). GESIS Data Archive, Cologne. ZA4800 Data file Version 3.0.0, doi:10.4232/1.11004.

  5. 5.

    http://www.gesis.org/en/services/data-analysis/survey-data/european-values-study/.

  6. 6.

    https://dbk.gesis.org/EVS/Variables/compview.asp?db=QEVSLF&id=&add=ZA4800&var=&lang=&id2=&var2=&lang2=&vsearch=&vsearch2=&s1=1&s2=1&s3=1&bool=.

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Author information

Authors and Affiliations

  1. Estonian Business School, Lauteri 3, 10114, Tallinn, Estonia

    Erika Matsak

Authors
  1. Erika Matsak
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Correspondence to Erika Matsak .

Editor information

Editors and Affiliations

  1. University of Freiburg, Freiburg, Germany

    Stefan Feuerriegel

  2. University of Freiburg, Freiburg, Germany

    Dirk Neumann

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Matsak, E. (2017). Credit Scoring and the Creation of a Generic Predictive Model Using Countries’ Similarities Based on European Values Study. In: Feuerriegel, S., Neumann, D. (eds) Enterprise Applications, Markets and Services in the Finance Industry. FinanceCom 2016. Lecture Notes in Business Information Processing, vol 276. Springer, Cham. https://doi.org/10.1007/978-3-319-52764-2_9

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