Essays about: "credit card risk"
Showing result 1 - 5 of 12 essays containing the words credit card risk.
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1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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
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2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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
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3. The influence of macroenvironmental factors on online shopping and the use of BNPL
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In the early days of e-commerce, countries took to the phenomenon at very different speeds. Researchers proved the most important factors for this to be propensity for trust and the perceived risk of online purchases. READ MORE
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4. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data
University essay from KTH/Matematisk statistikAbstract : 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
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5. The impact of distance, feature weighting and selection for KNN in credit default prediction
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : With the rapid spread of credit card business around the world, credit risk has also expanded dramatically. The occurrence of a large number of credit cardcustomer defaults has caused huge losses to financial institutions such as banks. Therefore, it is particularly important to accurately identify default customers. READ MORE