共 50 条
- [11] FINANCIAL DISTRESS OF ROMANIAN LISTED COMPANIES UNDER SYSTEMIC EVENTS: ANALYSIS AND ACCURACY OF PREDICTION MODELS [J]. TRANSFORMATIONS IN BUSINESS & ECONOMICS, 2024, 23 (01): : 305 - 324
- [12] A revision of Altman Z-Score model and a comparative analysis of Turkish companies' financial distress prediction [J]. NATIONAL ACCOUNTING REVIEW, 2021, 3 (02): : 237 - 255
- [13] Prediction of financial distress of companies with artificial neural networks and decision trees models [J]. Machine Learning with Applications, 2022, 10
- [14] Evaluating the efficacy of financial distress prediction models in Malaysian public listed companies [J]. INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 2024, 11 (02): : 1 - 7
- [15] Modelling bankruptcy prediction models in Slovak companies [J]. INNOVATIVE ECONOMIC SYMPOSIUM 2017 (IES2017): STRATEGIC PARTNERSHIP IN INTERNATIONAL TRADE, 2017, 39
- [17] Predicting financial distress in Latin American companies: A comparative analysis of logistic regression and random forest models [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2024, 72
- [18] MODELING THE FINANCIAL DISTRESS OF SLOVAK COMPANIES USING VARIOUS DECISION TREES [J]. 12TH INTERNATIONAL SCIENTIFIC CONFERENCE BUSINESS AND MANAGEMENT 2022, 2022, : 845 - 851
- [19] Predicting Financial Distress of Slovak Companies Using Fuzzy Set Theory [J]. APPLICATIONS OF MATHEMATICS AND STATISTICS IN ECONOMY: AMSE 2009, 2009, : 247 - 255
- [20] Comparative Study on Models of Financial Distress Prediction Based on Neural Networks [J]. ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 1, 2008, : 414 - 418