Sökning: "bankruptcies"

Visar resultat 6 - 10 av 63 uppsatser innehållade ordet bankruptcies.

  1. 6. Konsekvenser av hushållens höga skuldsättning : Bostadslån ur banktjänstemäns perspektiv

    Kandidat-uppsats, KTH/Fastighetsföretagande och finansiella system

    Författare :Filippa Bothin; Filippa Fourén; [2023]
    Nyckelord :Housing Loan; Debt Ratio; Financial Stability; Household Economy; Interest Rate Sensitivity; Bostadslån; Skuldkvot; Finansiell stabilitet; Hushållsekonomi; Räntekänslighet;

    Sammanfattning : Bostadspriserna har stigit markant under de senaste åren och till följd av detta har hushållen varit tvungna att ta på sig stora skulder. Svenska hushåll tar därför ständigt större lån och fler bostadslåntagare uppvisar högre skuldkvot och belåningsgrad än tidigare. LÄS MER

  3. 7. Predicting bankruptcies in Swedish manufacturing firms A comparison between traditional statistical and machine learning methods

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Dennis Akgün Dehiller; Milan Arif; [2022-06-29]
    Nyckelord :;

    Sammanfattning : The purposeofthispaperistoexaminewhetherwecanpredictbankruptciesinSwedish industrial andmanufacturingSMEsbeforetheyoccur.Toconductthepredictionsweuse a traditionalstatisticalmodel,multiplediscriminantanalysis(MDA)andamoremodern machinelearningapproachinwhichweutilizesupportvectormachines(SVM). LÄS MER

  4. 8. Bankruptcy determinants among Swedish SMEs : - The predictive power of financial measures

    Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Oliver Andersson; Henning Kihlberg; [2022]
    Nyckelord :bankruptcy; default; probability of default; bankruptcy prediction; bankruptcy determinants; SMEs; financial measures; logistic regression;

    Sammanfattning : 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

  5. 9. 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

  7. 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)

    Författare :Simon Heinke; [2022]
    Nyckelord :Bankruptcy prediction; Credit risk analysis; Abnormal credit risk behaviour; Gradient boosted decision trees; SHAP-values.; Konkurs förutsägelse; Kredit riskanalys; Abnomralt kreditbeteende; Gradient baserat beslutsträd; SHAP-värden.;

    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