Sökning: "Corporate Bankruptcy Prediction"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Corporate Bankruptcy Prediction.

1. 1. Predicting Corporate Bankruptcy With Personality Traits

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Författare :Marko Ivanovic; Tom Schreiber; [2023]
   Nyckelord :Corporate Bankruptcy Prediction; Big Five Personality Traits; Behavioural Finance;

   Sammanfattning : This study aims to research whether incumbent corporate bankruptcy prediction models that are based on solely financial variables can be augmented with personality traits variables to increase their performance. For this purpose, a data set consisting of active and bankrupt small and medium enterprises in 13 European countries is studied. LÄS MER

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

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

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

   Sammanfattning : 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. LÄS MER

4. 3. Using the advanced methods of financial analysis to predict the bankruptcy of companies

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Ahmad Haitham Meslemani; Pai Peng; [2022-06-30]
   Nyckelord :Bankruptcy; predict financial analysis; Corporate evaluation; credit risk management; financial ratio; Failure determinants;

   Sammanfattning : Due to the increase in corporate bankruptcy cases worldwide, the need has increased to find a way to protect companies from bankruptcy by finding a scientific model that enables business owners to predict it before it occurs. Therefore, the interest in predicting bankruptcy has recently become one of the most critical topics in accounting, finance, and finance. LÄS MER

5. 4. Predicting corporate financial distress- A deep neural network approach

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Adam Eklund; Petter Lundgren; [2022-06-29]
   Nyckelord :;

   Sammanfattning : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. LÄS MER

7. 5. Predicting company bankruptcy using artificial neural networks. : Visualization and ranking of key features

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jacob Wirgård WIklund; [2022]
   Nyckelord :;

   Sammanfattning : This paper presents a deep learning model that challenges what is known in the financial field of company bankruptcy. Specifically, a Multilayer Perceptron (MLP) model for predicting corporate bankruptcies is constructed and analyzed to visualize which input parameters that are most important for the accuracy of the model. LÄS MER