Essays about: "thesis on bankruptcy"

Showing result 1 - 5 of 52 essays containing the words thesis on bankruptcy.

  1. 1. Evaluating a LSTM model for bankruptcy prediction with feature selection

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Emma Carlsson; [2023]
    Keywords : Feature selection; Bankruptcy prediction; Neural networks; LSTM; Chi-squared; t-test; Stepwise regression; Lasso regression; Random forest;

    Abstract : Bankruptcy prediction is an important research topic. The cost of incorrect decision making in companies and financial institutions can be great and could affect large parts of society. But while it is indeed a major research area, there are few studies which consider the effects of feature selection. READ MORE

  2. 2. Pre-restructuring Capital Structures, Financial Restructurings and Recovery Prospects: Assessment of Their Interdependence

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Andrea Salamini; [2023]
    Keywords : Restructuring; Distress; Chapter 11;

    Abstract : The purpose of this thesis is to analyse whether financial restructurings produce improvements in the performances of distressed businesses, and whether pre-restructuring capital structures have any influence on the recovery prospects of the restructured businesses. This work is split into two main sections. READ MORE

  3. 3. The Tale of Two Techniques - The comparative accuracy of machine learning and statistical techniques in predicting corporate bankruptcy for Swedish industrial firms

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Edvin Lindhout; Hampus Ljunglöf; [2023]
    Keywords : Bankruptcy prediction; Machine learning; XGBoost; Probit analysis; Swedish firms;

    Abstract : Bankruptcy prediction has long been an important area of study, yet the evolution of these predictive models in the context of modern machine learning techniques remains underexplored. Our thesis addresses this by comparing the effectiveness of probit analysis - a time-tested statistical approach - with XGBoost - a new-era machine learning technique - in predicting corporate bankruptcy among Swedish firms. READ MORE

  4. 4. Delving into the acquisitive nature of distressed firms

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Saiyara Naoshin Meem; Mykola Shylin; [2022]
    Keywords : Financial Distress; Distressed Acquisitions; Diversification; Distressed Acquirers; Diversifying Acquisitions; Cross-border; Cross-Industry; Business and Economics;

    Abstract : After observing cases of financially distressed firms engaging in diversifying acquisitions, the motivation for this thesis was found. The purpose of this thesis is to investigate the role played by diversification through cross-border and/or cross-industry acquisition in change in financial distress of the acquirer. READ MORE

  5. 5. Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Arooba Ghaffar; [2022]
    Keywords : Bankruptcy prediction; Earnings Calls; Machine Learnings; Deep Learnings; Corporate failures; Web Scraping; Financial Data; Extracted Data;

    Abstract : This study investigates the prediction of firms’ health in terms of bankruptcy and non-bankruptcy based on the sentiments extracted from the earnings calls. Bankruptcy prediction has long been a critical topic in the world of accounting and finance. READ MORE