Sökning: "Bankruptcy prediction model"
Visar resultat 36 - 40 av 51 uppsatser innehållade orden Bankruptcy prediction model.
36. On a new logistic regression model for bankruptcy prediction in the IT branch
Master-uppsats, Uppsala universitet/Analys och sannolikhetsteoriSammanfattning : .... LÄS MER
37. Variables Important for Bankruptcy Prediction - A Logit Binary Approach
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : The purpose of this bachelor thesis is to estimate our own bankruptcy prediction model using logit binary data. Our choice of variables is based on Altman’s Z-score model 1968. A comparison is then done between results in Altman and our findings. LÄS MER
38. Bankruptcy Prediction with Financial Ratios - Examining Differences across Industries and Time
Magister-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : The purpose of this study is to examine how well different financial ratios can predict bankruptcy across industries and time. The study also examine whether including industry differences in a prediction model can increase its accuracy. LÄS MER
39. Konkursprediktion på tjänsteföretag i Sverige
Magister-uppsats, Ekonomihögskolan, ELNUSammanfattning : Problem: Konkurser drar med sig höga kostnader på olika sätt, och genom åren har många försök gjorts att finna modeller som kan förutse konkurser och därigenom undvika dem. Några av de mest beprövade modellerna är Altmans olika Z-scoremodeller, som genom åren visat olika resultat. LÄS MER
40. Prediction of Financial Distress among Swedish Listed Companies - A Study of Ohlson's O-score and an alteration of the model using Swedish data
C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : The prediction of bankruptcy and financial distress related to companies has interested many researchers and two of the more notable published contributions are attributable to Altman (1968) and Ohlson (1980). As the studies within this field of research are many, few can be been related to Swedish listed companies. LÄS MER