Bankruptcy Prediction Models Based on Value Measures
| Autor: | Wojciech Ćwięk, Andrzej Jaki |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
050208 finance
business.industry Computer science lcsh:Risk in industry. Risk management 05 social sciences Sample (statistics) Shareholder value risk management discrimination analysis lcsh:HD61 bankruptcy risk Set (abstract data type) Discriminant Discriminant function analysis Bankruptcy value measures lcsh:Finance lcsh:HG1-9999 0502 economics and business Econometrics Bankruptcy prediction ddc:330 business 050203 business & management Risk management |
| Zdroj: | Journal of Risk and Financial Management Volume 14 Issue 1 Journal of Risk and Financial Management, Vol 14, Iss 6, p 6 (2021) |
| ISSN: | 1911-8074 |
| DOI: | 10.3390/jrfm14010006 |
| Popis: | In the existing studies devoted to predicting bankruptcy, the authors of such models only used book measures. Considering the fact that the evolution of corporate measure efficiency (in addition to book measures) brought into existence and exposed the importance of cash measures, market measures, and measures based on the economic profit concept, it is justified to carry out research into the possibility of using these measures as variables within the discriminant function. The studied dataset was divided into a training set and a testing set based on two variants of the sample division. The assessment of the statistical significance of the built discriminant functions as well as the diagnostic variables was conducted using the STATISTICA package. The research was conducted separately for each variant. In the first step, a total of 30 discriminant models were created. This enabled us to select 20 diagnostic variables that were considered within the two models that were characterised by the highest predictive abilities&mdash one for each variant. The discriminant function that was estimated for the first variant was based on the use of eight diagnostic variables, and 13 diagnostic variables were used in the function that was estimated for the second variant. The conducted analysis has proven that shareholder value measures are a useful tool that can be applied for the needs of corporate risk management in the area of the assessment of a firm&rsquo s bankruptcy risk. Using two variants of the division of the research sample into the training and testing sets, it turned out that the division affects the predictive efficiency of the discriminant functions. At the same time, the obtained findings tend to claim that the presence of the value measures from all four of the studied groups in the output set of the diagnostic variables is necessary for possibly building the most efficient tool for the early warning signs of bankruptcy risk. |
| Databáze: | OpenAIRE |
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