Essays about: "credit portfolio"

Showing result 6 - 10 of 86 essays containing the words credit portfolio.

1. 6. The Development of Debt Policies : A Case Study of Investor’s and Industrivärden’s Portfolio Companies

   University essay from Uppsala universitet/Företagsekonomiska institutionen

   Author : Alma Karlsson; Jenny Olsson; [2023]
   Keywords : debt; debt policies; ownership; investment companies; time series; content analysis;

   Abstract : Debt financing can be seen as both an opportunity to increase profits as well as a financial risk and is thus an important issue for company owners to consider. This study examines the portfolio companies of the investment firms Investor and Indsutrivärden, and how their debt policies have developed from 2004 to 2022. READ MORE

3. 7. 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

4. 8. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Elias Hadad; Angus Wigton; [2023]
   Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

   Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE

5. 9. Economic Capital Models : Methods for fitting loss distributions

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : William Fritzell; [2023]
   Keywords : Economic Capital; Distribution fitting; MCMC;

   Abstract : The thesis provides a well-researched classical approach to fit and predict the losses (extreme) for Lloyds Bank’s Dutch mortgage portfolio, their defaulted Dutch mortgage portfolio, and their German personal and car loan portfolio. This is a crucial piece for quantification of the economic loss, required for effective credit risk management by the Bank. READ MORE

6. 10. A multi-gene symbolic regression approach for predicting LGD : A benchmark comparative study

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Hanna Tuoremaa; [2023]
   Keywords : Symbolic regression; loss given default; credit risk; logit transformed regression; beta regression; multi-gene genetic programming; regression tree;

   Abstract : Under the Basel accords for measuring regulatory capital requirements, the set of credit risk parameters probability of default (PD), exposure at default (EAD) and loss given default (LGD) are measured with own estimates by the internal rating based approach. The estimated parameters are also the foundation of understanding the actual risk in a banks credit portfolio. READ MORE