Sökning: "Sannolikhet för Fallissemang"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Sannolikhet för Fallissemang.
1. Applying the Shadow Rating Approach: A Practical Review
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. LÄS MER
2. Deep Learning Approach for Time- to-Event Modeling of Credit Risk
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. LÄS MER
3. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis aims to predict the probability of default (PD) of non-performing loan (NPL) customers using transaction and debt data, as a part of developing credit scoring model for Hoist Finance. Many NPL customers face financial exclusion due to default and therefore are considered as bad customers. LÄS MER
4. Estimation of Probability of Default in Low Default Portfolios
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Estimation of probability of default (PD) is a fundamental part of credit risk modeling, and estimation of PD in low default portfolios is a common issue for banks and financial institutions. The Basel Committee on Banking Supervision requires banks and financial institutions to add an additional margin of conservatism to its PD estimates in the case of insufficient data, as in low default portfolios with few default observations. LÄS MER
5. Modeling credit risk for an SME loan portfolio: An Error Correction Model approach
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : Sedan den globala finanskrisen 2008 har flera stora regelverk införts för att säkerställa att banker hanterar risker på sunt sätt. Bland dessa regelverk är Basel II som infört kapitalkrav för kreditrisk som baseras på Sannolikhet för Fallissemang och Förlust Givet Fallissemang. LÄS MER
