Essays about: "Credit risk management"

Showing result 11 - 15 of 105 essays containing the words Credit risk management.

  1. 11. 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)

    Author : Jakob Pehrson; Sara Lindstrand; [2022]
    Keywords : Trustworthy AI; Credit Scoring; Digital Capabilities; Fintech; Etisk AI; Kreditvärdighet; Digitala Förmågor; Fintech;

    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

  3. 12. The influence of macroenvironmental factors on online shopping and the use of BNPL

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Maria Hardin; Moira Twengström; [2022]
    Keywords : ‘Buy now; pay later’; consumer credit; online shopping; e-commerce; culture; ‘Buy now; pay later’; konsumentkredit; näthandel; e-handel; kultur;

    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

  4. 13. Optimization of Collateral Allocation for Corporate Loans : A nonlinear network problem minimizing the expected loss in case of default

    University essay from KTH/Matematik (Avd.)

    Author : Sofia Grägg; Paula Isacson; [2022]
    Keywords : Nonlinear optimization; network problem; transportation problem; Markowitz; credit risk; Loss Given Default; Loan to Value; collateral management; many-to-many relations; modern portfolio theory; expected loss; risk management; optimization; allocation; portfolio; modeling; Icke-linjär optimering; nätverksproblem; transportproblem; Markowitz; kreditrisk; förlust givet fallisemang; belåningsgrad; säkerhetshantering; många-till-många relationer; modern portföljteori; förväntad förlust; riskhantering; optimering; allokering; portfölj; modellering.;

    Abstract : Collateral management has become an increasingly valuable aspect of credit risk. Managing collaterals and constructing accurate models for decision making can give any lender a competitive advantage and decrease overall risks. READ MORE

  5. 14. The value of detailed product information in credit risk prediction : A case study applied to Klarna’s Pay Later orders in Sweden

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Mimmi Andersson; Louise von Sydow Yllenius; [2022]
    Keywords : Credit Risk Management; Consumer Credit; BNPL; Credit Scoring; Alternative Data; Product Category; Product Type; Responsible Lending; e-commerce; Kreditriskbedömning; BNPL; konsumenkredit; alternativ data; produktkategori; produkttyp; hållbar kreditgivning; onlinehandel;

    Abstract : In this study we propose to enhance the predictive power of a Buy Now, Pay Later (BNPL) consumer credit scorecard by leveraging detailed product information. The object of analys is in this study is Klarna Bank AB, which is the largest retail finance provider in Sweden. READ MORE

  6. 15. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : 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