Essays about: "credit risk in banks"
Showing result 1 - 5 of 139 essays containing the words credit risk in banks.
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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. Moral Hazard and Banking Risk, a Euro Area Analysis
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : The study investigates the effects of capital regulations on risk-taking within the Euro- zone banking sector from 2013 to 2019, specifically focusing on the impact of moral hazard stemming from bank charter value and ownership influence. Previous research suggests both bank charters and ownership influence can prompt different risk behaviours and po- tentially influence the effectiveness of capital regulations. READ MORE
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4. Risky Business: The Intersection of Sustainability and Credit Risk Assessment – a Strategic Perspective
University essay from Blekinge Tekniska Högskola/Institutionen för strategisk hållbar utvecklingAbstract : The imminent consequences of the deteriorating state of the socio-ecological systems pose significant challenges to the well-being of society and societal functioning. The financial sector, specifically banks, plays a crucial role in the transition toward sustainable development because they hold the financial resources and the power to allocate these resources. READ MORE
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5. Credit Exposure Modelling Using Differential Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : 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