SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Surviving the Pandemic: Financial Distress Prediction for Slovak SME Manufacturers
16 references·0 citing·42 second hopsampled
Surviving the Pandemic: Financial Distress Prediction for Slovak SME Manufacturers (2025)Surviving the Pandemic: Financial Distres…Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries (2023)Bankruptcy prediction in the …Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction (2022)Cost-Sensitive Metaheuristic …Market reaction to the COVID-19 pandemic: evidence from emerging markets (2021)Market reaction to the COVID-…Impact of covid-19 pandemic on the Youth unemployment in the European Union (2021)Impact of covid-19 pandemic o…Unmasking the Impact of COVID-19 on Businesses : Firm Level Evidence from across the World (2020)Unmasking the Impact of COVID…The Slovak Spa Industry and Spa Companies: Financial and Economic Situation (2020)The Slovak Spa Industry and S…Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020)Remaining Financially Healthy…Business Failure Prediction for Slovak Small and Medium-Sized Companies (2020)Business Failure Prediction f…Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis (2018)Bankruptcy prediction in Vise…Predicting Corporate Financial Failure Using Macroeconomic Variables and Accounting Data (2017)Predicting Corporate Financia…Logit and Probit application for the prediction of bankruptcy in Slovak companies (2017)Logit and Probit application …THE PORTABILITY OF ALTMAN’S Z-SCORE MODEL TO PREDICTING CORPORATE FINANCIAL DISTRESS OF SLOVAK COMPANIES (2016)THE PORTABILITY OF ALTMAN’S Z…Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction (2016)Performance Comparison of Mul…Forecasting Financial Failure of Firms via Genetic Algorithms (2013)Forecasting Financial Failure…A genetic algorithm application in bankruptcy prediction modeling (2002)A genetic algorithm applicati…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Machine Learning in Financial Crisis Prediction: A Survey (2011)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Frontier stock market integration and the global financial crisis (2014)Dynamic Bankruptcy Prediction Models for European Enterprises (2019)Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers (2000)PREDICTIVE POTENTIAL AND RISKS OF SELECTED BANKRUPTCY PREDICTION MODELS IN THE SLOVAK BUSINESS ENVIRONMENT (2017)Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries (2018)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)An empirical evaluation of the performance of binary classifiers in the prediction of credit ratings changes (2015)Financial Compass for Slovak Enterprises: Modeling Economic Stability of Agricultural Entities (2020)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Decision tree based model of business failure prediction for Polish companies (2019)Bankruptcy or Success? The Effective Prediction of a Company’s Financial Development Using LSTM (2020)COVID-Induced Economic Uncertainty (2020)Inequality in the impact of the coronavirus shock: Evidence from real time surveys (2020)The impact of COVID-19 on small business outcomes and expectations (2020)Bridging the Technological Divide: Technology Adoption by Firms in Developing Countries (2022)Sustainable Development Goals (SDGs) as a Framework for Corporate Social Responsibility (CSR) (2022)Impact of digital technology usage on firm resilience: a dynamic capability perspective (2023)Corporate financing and investment decisions when firms have information that investors do not have (1984)Generalized autoregressive conditional heteroskedasticity (1986)On Persistence in Mutual Fund Performance (1997)Identifying and analysis of key flexible sustainable supply chain management strategies toward overcoming the post-COVID-19 impacts (2022)What do border disputes cost? Evidence from an emerging market (2022)Market Shocks and Stock Volatility: Evidence from Emerging and Developed Markets (2024)COVID‐19 and the immediate impact on young people and employment in Australia: A gendered analysis (2020)Tackling Youth Unemployment: Evidence From a Labor Market Experiment in Uganda (2020)Unemployment and Psychological Distress among Young People during the COVID-19 Pandemic: Psychological Resources and Risk Factors (2020)The Deterioration of Financial Ratios During the Covid-19 Pandemic: Does Corporate Governance Matter? (2022)Risk Factors of Being a Youth Not in Education, Employment or Training (NEET): A Scoping Review (2023)The European Union’s post-pandemic strategies for public health, economic recovery, and social resilience (2023)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Distinctive determinants of financial indebtedness: evidence from Slovak and Czech enterprises (2021)Factors Affecting Adaptability of Cryptocurrency: An Application of Technology Acceptance Model (2022)Big data management algorithms in artificial Internet of Things-based fintech (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 2020Remaining Financially Healthy and Competitive: The Role of Financial Predictors192 cited
  • 2020Unmasking the Impact of COVID-19 on Businesses : Firm Level Evidence from across the World182 cited
  • 2021Impact of covid-19 pandemic on the Youth unemployment in the European Union91 cited
  • 2021Market reaction to the COVID-19 pandemic: evidence from emerging markets88 cited
  • 2016Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction86 cited
  • 2017Logit and Probit application for the prediction of bankruptcy in Slovak companies85 cited
  • 2018Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis63 cited
  • 2013Forecasting Financial Failure of Firms via Genetic Algorithms54 cited
  • 2020Business Failure Prediction for Slovak Small and Medium-Sized Companies52 cited
  • 2016THE PORTABILITY OF ALTMAN’S Z-SCORE MODEL TO PREDICTING CORPORATE FINANCIAL DISTRESS OF SLOVAK COMPANIES49 cited
  • 2020The Slovak Spa Industry and Spa Companies: Financial and Economic Situation46 cited
  • 2017Predicting Corporate Financial Failure Using Macroeconomic Variables and Accounting Data

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

43 cited
  • 2023Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries37 cited
  • 2022Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction27 cited
  • Cited by

    No citing works inside the corpus for this window.