Year 2024

• Personal bankruptcy prediction using machine learning techniques

  Publication

  • M. Brygała
  • T. Korol

  - Economics and Business Review - Year 2024

  Full text to download in external service

• Personal bankruptcy prediction using machine learning techniques

  Publication

  • M. Brygała
  • T. Korol

  - Economics and Business Review - Year 2024

  It has become crucial to have an early prediction model that provides accurate assurance for users about the financial situation of consumers. Recent studies have focused on predicting corporate bankruptcies and credit defaults, not personal bankruptcies. Due to this situation, the present study fills the literature gap by comparing different machine learning algorithms to predict personal bankruptcy. The main objective of the...

  Full text available to download

Year 2022

• Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data

  Publication

  • M. Brygała

  - Risks - Year 2022

  This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...

  Full text to download in external service

• Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data

  Publication

  • M. Brygała

  - Risks - Year 2022

  This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...