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Showing result 1 - 5 of 10 essays matching the above criteria.

  1. 1. 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

  3. 2. 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

  4. 3. 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

  5. 4. Enterprise Risk Management Implementation and Default Risk: Evidence of Bank Industry in China and Nordic Countries

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Jiabao Yan; Junyu Wang; [2020]
    Keywords : Enterprise Risk Management; chief risk officer; bank performance; text-based method; LASSO; Business and Economics;

    Abstract : With the development of the global economy in the 21st century, enterprise risk management (ERM) has been more impactfully implemented by firms. Academics have studied the relationship between ERM and firms’ performance, yet few studies have covered the relationship between ERM and default risk, let alone the comparison study between banks in China and banks in Nordic countries, the two important markets in Asia and Europe. READ MORE

  6. 5. Risk Control Systems in the Bankning Sector : A Case of Intercontinental Bank Ghana LTD

    University essay from Blekinge Tekniska Högskola/Sektionen för management

    Author : Julliet Amponsah; Ben Kofi Nyarko Williams; [2012]
    Keywords : Risk control; risk management;

    Abstract : Risk management as a component of the internal control mechanism of any organisation is as important as the reason for the existence of that organisation. This is because any organisation without a risk management system in place may as well not be in existence since they may lose the profit and the whole capital together. READ MORE