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 "bankrupt" and "not bankrupt". 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
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Czech description
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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