Tomas Kliestik
Accounting · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Accounting — 17 citations into it
- Artificial Intelligence — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Tomas Kliestik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tomas Kliestik's perspective
Ordered by how strongly the researchers Tomas Kliestik trusts endorse each paper. Same corpus, a different order for every researcher.
- Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review
- Management of financial risks in Slovak enterprises using regression analysis
- A Generalized Extreme Value Approach to Financial Risk Measurement
- Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset
- Variable selection and corporate bankruptcy forecasts
- A FORM OF MULTIVARIATE PARETO DISTRIBUTION WITH APPLICATIONS TO FINANCIAL RISK MEASUREMENT (ASTIN Bulletin: The Journal of the International Actuarial Association)
- Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model
- Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy
- BUSINESS ENVIRONMENT QUALITY INDEX IN THE SME SEGMENT (Journal of Competitiveness)
- The Dependence of Perceived Business Risks on the Size of SMEs (Journal of Competitiveness)
Their papers
- Management of financial risks in Slovak enterprises using regression analysis (2018) — 140 citations
- Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020) — 170 citations
- Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries (2019) — 146 citations
- Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis (2018) — 129 citations