Essays about: "Trade Credit Management"

Showing result 1 - 5 of 13 essays containing the words Trade Credit Management.

  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. 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

  4. 3. 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

  5. 4. Explaining Automated Decisions in Practice : Insights from the Swedish Credit Scoring Industry

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

    Author : Filip Matz; Yuxiang Luo; [2021]
    Keywords : Explainable Artificial Intelligence; XAI implementation; Automated Decisions; Understandability; Interpretability; Practical Framework; Credit Scoring; Förklarbar artificiell intelligens; XAI implementation; automatiserade beslut; förklarbarhet; praktiskt ramverk; kreditupplysning;

    Abstract : The field of explainable artificial intelligence (XAI) has gained momentum in recent years following the increased use of AI systems across industries leading to bias, discrimination, and data security concerns. Several conceptual frameworks for how to reach AI systems that are fair, transparent, and understandable have been proposed, as well as a number of technical solutions improving some of these aspects in a research context. READ MORE

  6. 5. Managerial Ability, Market Competition and Trade Credit

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Yao Cai; Danyang Liu; [2020]
    Keywords : Management Heterogeneity; Managerial Ability; Market Competition; Trade Creidt;

    Abstract : This thesis aims to first estimate the relationship between managerial ability and trade credit and then examine the moderating effect of market competition on this relationship. We construct a sample consisting of 24,081 firm-year observations within 4,259 US firms and employ two-dimensional fixed effects regression models to test them. READ MORE