Essays about: "credit risk and banks performance"

Showing result 1 - 5 of 21 essays containing the words credit risk and banks performance.

1. 1. Credit Card Fraud Detection by Nearest Neighbor Algorithms

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

   Author : Ramin Maghsood; [2023-04-13]
   Keywords : Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

   Abstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE

3. 2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Robert Iain Salter; [2023]
   Keywords : Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

   Abstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE

4. 3. Credit Exposure Modelling Using Differential Machine Learning

   University essay from Lunds universitet/Matematisk statistik

   Author : Måns Karp; Samuel Wagner; [2023]
   Keywords : Counterparty credit risk; Differential machine learning; Exposure modelling; Heston model; Option pricing; Mathematics and Statistics;

   Abstract : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. READ MORE

5. 4. 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

6. 5. 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