Special Issue "Modern Methods of Bankruptcy Prediction"
Deadline for manuscript submissions: 30 January 2022.
A printed edition of this Special Issue is available here.
Interests: corporate bankruptcy prediction; institutional aspects of corporate bankruptcy; risk management; business valuation
Special Issues and Collections in MDPI journals
Successes and failures are constant elements of the functioning of markets and have accompanied them from their very beginning. In many countries, not only is corporate bankruptcy provided for by law, but it is also possible to declare the bankruptcy of a natural person (so-called personal or consumer bankruptcy). The consequences of financial failure are enormous for creditors, shareholders, investors, employees and even a country’s economy. Hence, research has been conducted for decades to develop more effective models of bankruptcy prediction. Despite growing interest in bankruptcy forecasting models, many questions remain unanswered. Moreover, the current global coronavirus pandemic has dramatically increased the risk of insolvencies throughout the world. Thus, the issue of forecasting bankruptcy is still a very important problem in the area of finance. With the development of new statistical methods and IT tools, bankruptcy prediction has become more effective, but scientists are still looking for more sophisticated solutions.
This Special Issue aims at collecting a number of new contributions, both at the theoretical level and in terms of applications. We expect publications of a theoretical and empirical nature, which will be an important contribution to the development of literature on this issue.
The topics covered in this Special Issue will include (but are not limited to) the following areas: the search for new tools in forecasting business and personal bankruptcy, the development of bankruptcy prediction models for specific organizations such as e.g.: small and medium sized enterprises, banks, social entities, insurance companies, tourism enterprises, football clubs etc., the problem of selecting a learning sample and explanatory variables to bankruptcy models, the search for macroeconomic, governance and sectoral factors in the process of bankruptcy forecasting, the dynamization of models and the problem of prolonging the forecasting horizon, the impact of differences between national and international accounting standards on the accuracy and correctness of analyses in the field of bankruptcy prediction, the impact of specific local factors on the selection of explanatory variables to models, advantages and limitations of bankruptcy prediction models, and the comparison of the effectiveness of expert assessments with the results obtained using models.Dr. Błażej Prusak
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- New tools in corporate bankruptcy prediction
- Comparative analysis of corporate bankruptcy prediction methods
- Local versus global and sectoral versus universal business failure prediction models
- Symptoms of business failure
- Bankruptcy trajectories