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Predictive Bankruptcy of European e-Commerce: Credit Underwriters Inexperience and Self-assessment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F17%3A10365696" target="_blank" >RIV/00216208:11230/17:10365696 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-49559-0_9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-49559-0_9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-49559-0_9" target="_blank" >10.1007/978-3-319-49559-0_9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive Bankruptcy of European e-Commerce: Credit Underwriters Inexperience and Self-assessment

  • Original language description

    In the current competitive and uncertain e-commerce environment, businesses have the need to predict in advance their likelihood of falling into bankruptcy. The central focus of this paper is to statistically model through different approaches the bankruptcy probability of e-commerce companies in Europe. The authors examine the econometric techniques, two-step cluster, logistic regression, discriminant analysis, data mining tree, and ROC curves, to classify these companies into &quot;bankrupt&quot; and &quot;not bankrupt&quot;. This paper finds also evidences about the current credit underwriting inexperience among several financial institutions. The classification approaches included in this paper may be applied in real working practice whether by credit underwriters or by business decision-makers. The research was developed using financial and accounting information available in the Bureau van Dijk database. This paper suggests further analytical developments in the field of predictive bankruptcies and recommends improvements on the credit evaluation scorecards such as the inclusion of advanced online metrics to increase the accuracy of the creditworthiness evaluation of an e-commerce company.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    New Trends in Finance and Accounting

  • ISBN

    978-3-319-49559-0

  • ISSN

    2198-7246

  • e-ISSN

    neuvedeno

  • Number of pages

    12

  • Pages from-to

    93-104

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Prague

  • Event date

    May 27, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000416113500009