Essays about: "credit risk management for bank"

Showing result 1 - 5 of 27 essays containing the words credit risk management for bank.

  1. 1. The Impact of the Recession on Swedish Real Estate Companies : A Study of Financial Strategy and Risk Management of Companies with Different Credit Ratings

    University essay from KTH/Fastighetsföretagande och finansiella system

    Author : Greta Aronsson; Elsa Johannessen; [2023]
    Keywords : Credit Rating; Financial Strategy; Risk Management; Capital Structure; Capital Market Financing; Bank Financing; Real Estate Market; Kreditbetyg; Finansiell strategi; Riskhantering; Kapitalstruktur; Kapitalmarknadsfinansiering; Bankfinansiering; Fastighetsmarknaden;

    Abstract : The world's economies are in a turbulent phase where rising inflation has hit the global and Swedish economy hard. The Central Bank of Sweden has raised the policy rate expansively in recent months, with the intention of curbing inflation. READ MORE

  2. 2. 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. 3. Economic Capital Models : Methods for fitting loss distributions

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : William Fritzell; [2023]
    Keywords : Economic Capital; Distribution fitting; MCMC;

    Abstract : The thesis provides a well-researched classical approach to fit and predict the losses (extreme) for Lloyds Bank’s Dutch mortgage portfolio, their defaulted Dutch mortgage portfolio, and their German personal and car loan portfolio. This is a crucial piece for quantification of the economic loss, required for effective credit risk management by the Bank. READ MORE

  4. 4. 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

  5. 5. 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