Sökning: "Bankruptcy prediction model"
Visar resultat 6 - 10 av 51 uppsatser innehållade orden Bankruptcy prediction model.
6. Using the advanced methods of financial analysis to predict the bankruptcy of companies
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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
7. Predicting corporate financial distress- A deep neural network approach
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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
8. Bankruptcy determinants among Swedish SMEs : - The predictive power of financial measures
Master-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : The main purpose of this paper is to provide evidence of financial leverage, liquidity, profitability, and firm size ability to predict bankruptcy of Swedish small and medium-sized enterprises (SMEs), and to create a bankruptcy prediction model for Swedish SMEs. The sample consists of 1086 Swedish SMEs, among which 543 did go bankrupt between 2015 and 2019. LÄS MER
9. Predicting company bankruptcy using artificial neural networks. : Visualization and ranking of key features
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
10. Anticipating bankruptcies among companies with abnormal credit risk behaviour : Acase study adopting a GBDT model for small Swedish companies
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The field of bankruptcy prediction has experienced a notable increase of interest in recent years. Machine Learning (ML) models have been an essential component of developing more sophisticated models. Previous studies within bankruptcy prediction have not evaluated how well ML techniques adopt for data sets of companies with higher credit risks. LÄS MER