Essays about: "thesis on credit risk management"
Showing result 1 - 5 of 41 essays containing the words thesis on credit risk management.
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1. 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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2. The Development of Debt Policies : A Case Study of Investor’s and Industrivärden’s Portfolio Companies
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : 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
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3. Loan Loss Provisions and Lending Activity in Banks : A quantitative study comparing the effects of loan loss provisions on lending activity in banks applying IFRS 9 and ASC 326
University essay from Umeå universitet/FöretagsekonomiAbstract : As a response to the financial crisis of 2008 the IASB and the FASB developed IFRS 9 and ASC 326, respectively. These accounting regulations are supposed to increase reporting transparency and promote financial stability by determining the calculation and recognition of loan loss provisions. READ MORE
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4. 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 statistikAbstract : 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
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5. Capabilities and Processes to Mitigate Risks Associated with Machine Learning in Credit Scoring Systems : A Case Study at a Financial Technology Firm
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Artificial intelligence and machine learning has become an important part of society and today businesses compete in a new digital environment. However, scholars and regulators are concerned with these technologies' societal impact as their use does not come without risks, such as those stemming from transparency and accountability issues. READ MORE