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), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 …
Persistent link: https://www.econbiz.de/10012814176
While there is increasing interest in crypto assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we considered a unique dataset of 144 exchanges, active from the first quarter of 2018 to the first quarter of 2021. We analyzed the determinants surrounding...
Persistent link: https://www.econbiz.de/10012794905
The paper deals with methods of predicting bankruptcy of a business with the aim of choosing a prediction method which … will have exact results. Existing bankruptcy prediction models are a suitable tool for predicting the financial …
Persistent link: https://www.econbiz.de/10012384409
Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly … affected by various external and internal factors that may influence a company in insolvency and lead to bankruptcy. It is … to create a model for predicting potential bankruptcy of companies using suitable classification methods, namely Support …
Persistent link: https://www.econbiz.de/10012302458
Any critical analysis of the corporate financial distress of listed firms in international exchange would be incomplete without a serious dissection at the industry level, because of the different levels of risks concerned. This paper considers the financial distress of listed firms at the...
Persistent link: https://www.econbiz.de/10012173012
measures. For this, sample data consisted of 82 companies that had filed for bankruptcy under the Insolvency and Bankruptcy … sample size was 164 companies. Data for five years immediately preceding the bankruptcy filing was collected for the sample …
Persistent link: https://www.econbiz.de/10012626240
Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing … deep learning models for corporate bankruptcy forecasting using textual disclosures. The study constructed a comprehensive … study model for predicting bankruptcy based on listed companies in Kenya. The study population included all 64 listed …
Persistent link: https://www.econbiz.de/10012174130
Persistent link: https://www.econbiz.de/10003348579
We consider a system where the asset values of firms are correlated with the default thresholds. We first evaluate the probability of default of a single firm under the correlated assets assumptions. This extends Merton’s probability of default of a single firm under the independent asset...
Persistent link: https://www.econbiz.de/10011543135
The impact of a stress scenario of default events on the loss distribution of a credit portfolio can be assessed by determining the loss distribution conditional on these events. While it is conceptually easy to estimate loss distributions conditional on default events by means of Monte Carlo...
Persistent link: https://www.econbiz.de/10011544020