Essays about: "Trade Credit"

Showing result 6 - 10 of 60 essays containing the words Trade Credit.

  1. 6. Trends in the Capital Structure and Risk Assessment of Swedish Real Estate Companies : A Study on the Impact of the 2022-2023 Shift in Interest Rates

    University essay from KTH/Fastighetsföretagande och finansiella system

    Author : Karolina Landgärds; Hanna Lövgren; [2023]
    Keywords : Real estate; Capital structure; Financial risk; Interest rate risk; Fastigheter; Kapitalstruktur; Finansiell risk; Ränterisk;

    Abstract : This study aims to analyse the changes in the capital structure of Swedish real estate companies over the past five years, with a particular focus on the period 2022-2023, characterised by the policy interest rate increasing from zero to 3.5 percent. READ MORE

  3. 7. Neural Networks for Credit Risk and xVA in a Front Office Pricing Environment

    University essay from Lunds universitet/Matematisk statistik

    Author : Isabelle Frodé; Viktor Sambergs; [2022]
    Keywords : xVA; CVA; OTC; Counterparty Credit Risk; Interest Rate Swaps; Hull-White Model; Machine Learning; Artificial Neural Networks; Gated Recurrent Units; Mathematics and Statistics;

    Abstract : We present a data-driven proof of concept model capable of reproducing expected counterparty credit exposures from market and trade data. The model has its greatest advantages in quick single-contract exposure evaluations that could be used in front office xVA solutions. The data was generated using short rates from the Hull-White One-Factor model. READ MORE

  4. 8. Using Gradient Boosting to Identify Pricing Errors in GLM-Based Tariffs for Non-life Insurance

    University essay from KTH/Matematik (Avd.)

    Author : Felix Greberg; Andreas Rylander; [2022]
    Keywords : GLM; Gradient Boosting; XGBoost; Non-life insurance; Property Casualty; Rate making; Insurance Tariff; MTPL insurance; Machine learning; Regression trees; Tweedie regression; Credit risk; GLM; Gradient Boosting; XGBoost; Skadeförsäkring; Prissättning; Försäkringstariff; Trafikförsäkring; Regressionsträd; Maskininlärning; Tweedie-regression; Kreditrisk;

    Abstract : Most non-life insurers and many creditors use regressions, more specifically Generalized Linear Models (GLM), to price their liabilities. One limitation with GLMs is that interactions between predictors are handled manually, which makes finding interactions a tedious and time-consuming task. READ MORE

  5. 9. 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

  6. 10. Macroprudential Policy Activity and Financial Inclusion: Cross-country analysis of macroprudential tool use

    University essay from Lunds universitet/Ekonomisk-historiska institutionen

    Author : Marinó Örn Ólafsson; [2022]
    Keywords : Macroprudential Policy; Financial Inclusion; Financial Stability; Financial Development; Financial Systems; Financial Institutions; Banking Crises; Financial Policy; Business and Economics;

    Abstract : Research suggests that multiple trade-offs and synergies characterise the relationship between financial inclusion and financial stability. For example, expanding access to financial services can lead to a more stable banking system but also excessive credit growth and decreased stability. READ MORE