Essays about: "Sannolikheten för Fallissemang"

Showing result 1 - 5 of 8 essays containing the words Sannolikheten för Fallissemang.

1. 1. Applying the Shadow Rating Approach: A Practical Review

   University essay from KTH/Matematik (Avd.)

   Author : Viktor Barry; Carl Stenfelt; [2023]
   Keywords : Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

   Abstract : 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. READ MORE

3. 2. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

   University essay from KTH/Matematisk statistik

   Author : Billy Lu; [2022]
   Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

   Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE

4. 3. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs

   University essay from KTH/Matematisk statistik

   Author : Lai-Yan Wong; [2021]
   Keywords : Credit Scoring Model; Probability of Default; Payment Behaviour; Subprime Customer; Non-performing Loan; Logistic Regression; Regularization; Feature Selection; Kreditvärdighetsmodell; Sannolikhet för Fallissemang; Betalningsbeteende; Högriskkunder; Nödlidandelån; Logistik Regression; Regularisering; Variabelselektion;

   Abstract : 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. READ MORE

5. 4. On the Proxy Modelling of Risk-Neutral Default Probabilities

   University essay from KTH/Matematisk statistik

   Author : Edvin Lundström; [2020]
   Keywords : Counterparty Credit Risk; Credit Valuation Adjustment; CVA; Credit modelling; Reduced form model; Proxy model; Hazard rate; Cross-section model; Nomura model; Motpartsrisk; Kreditvärderingsjustering; CVA; Kreditmodellering; Proxymodellering; Nomuramodellen;

   Abstract : Since the default of Lehman Brothers in 2008, it has become increasingly important to measure, manage and price the default risk in financial derivatives. Default risk in financial derivatives is referred to as counterparty credit risk (CCR). The price of CCR is captured in Credit Valuation Adjustment (CVA). READ MORE

6. 5. Macroeconomic factors in Probability of Default : A study applied to a Swedish credit portfolio

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Hermina Antonsson; [2018]
   Keywords : Macroeconomic factors; Probability of Default; IFRS 9; credit risk; mortgage loans; Makroekonomiska faktorer; Probability of Default; IFRS 9; kreditrisk; bolån;

   Abstract : Macroeconomic conditions can impact the payment capacity of individual mortgage holders' household loans. If the clients of a bank's retail credit portfolio experience deteriorating paymentcapacity it will reflect on the probability of default of the overall portfolio. READ MORE