Big Data Analytics in Bankruptcy Prediction

A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management".

Deadline for manuscript submissions: closed (30 October 2021) | Viewed by 3708

Special Issue Editors


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Guest Editor
Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic
Interests: business ethics; human resource management; Industry 4.0; entrepreneurial competencies

E-Mail Website
Guest Editor
Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic
Interests: corporate finance; business failure; timeseries; artificial neural networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We would like to offer a valuable and potential topic related to corporate finance and big data analytics. We think that the topic in itself is very wide and can be understood in connection with company valuation, various aspects of corporate finance (working capital management, long-term asset management, capital structure optimization, cost management, liquidity management, financial analysis, financial planning, securities valuation, etc.). It is our belief that there are many fields that can be included in scientific and expert discussion. We hope that the topic of “Big Data Analytics in Bankruptcy Prediction” in the Data journal is the right platform to meet other researchers and experts interested in your topic.

We look forward to your contributions.

Dr. Zdeněk Caha
Dr. Marek Vochozka
Guest Editors

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Keywords

  • bankruptcy
  • working capital management
  • long-term asset management
  • capital structure optimization
  • cost management
  • liquidity management
  • financial analysis
  • financial planning
  • securities’ valuation

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Published Papers (1 paper)

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Research

12 pages, 2383 KiB  
Article
Neglected Theories of Business Cycle—Alternative Ways of Explaining Economic Fluctuations
by Klára Čermáková, Michal Bejček, Jan Vorlíček and Helena Mitwallyová
Data 2021, 6(11), 109; https://doi.org/10.3390/data6110109 - 20 Oct 2021
Cited by 11 | Viewed by 2688
Abstract
The business cycle is a frequent topic in economic research; however, the approach based on individual strategies often remains neglected. The aspiration of this study is to prove that the behavior of individuals can originate and fuel an economic cycle. For this purpose, [...] Read more.
The business cycle is a frequent topic in economic research; however, the approach based on individual strategies often remains neglected. The aspiration of this study is to prove that the behavior of individuals can originate and fuel an economic cycle. For this purpose, we are using an algorithm based on a repeated dove–hawk game. The results reveal that the sum of output in a society is affected by the ratio of individual strategies. Cyclical changes in this ratio will be translated into fluctuations of the total product of society. We present game theory modelling of a strategic behavioral approach as a valid theoretical foundation for explaining economic fluctuations. This article offers an unusual insight into the business cycle’s causes and growth theories. Full article
(This article belongs to the Special Issue Big Data Analytics in Bankruptcy Prediction)
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