Essays about: "Credit Method"

Showing result 1 - 5 of 206 essays containing the words Credit Method.

  1. 1. The Power of Credit Scoring: Evaluating Machine Learning and Traditional Models in Swedish Retail Banking

    University essay from Göteborgs universitet/Graduate School

    Author : Emma von der Burg; Saga Strömberg; [2023-06-29]
    Keywords : ;

    Abstract : In this paper, we investigate and compare different credit scoring models, with special attention paid to machine learning approaches outperforming traditional models. We explore a recently proposed method called the PLTR model, which is a combination of machine learning and traditional logistic regression. READ MORE

  3. 2. Credit Card Fraud Detection by Nearest Neighbor Algorithms

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Ramin Maghsood; [2023-04-13]
    Keywords : Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

    Abstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE

  4. 3. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

    University essay from KTH/Matematisk statistik

    Author : Lucas Fageräng; Hugo Thoursie; [2023]
    Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

    Abstract : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. READ MORE

  5. 4. An Analysis of the Swedish Real  Estate Bond Market:  Characteristics, Opportunities, and  Risks : A combination of a qualitative and quantitative study

    University essay from KTH/Fastighetsföretagande och finansiella system

    Author : Hanna Landstedt; Mikaela Kulti; [2023]
    Keywords : Real Estate Bond; Bond Issuance; Bond Maturities; Credit Risk; Investment Grade; High Yield; Corporate Bond Market; Real Estate Bond Market; Fastighetsobligation; Utställande av obligationer; Obligationslöptid; Kreditrisk; Högränteobligationer; Företagsobligationsmarknaden; Fastighetsobligationsmarknaden;

    Abstract : In the aftermath of the 2008 financial crisis, the debt capital market in Sweden experienced rapid growth, resulting in a doubling of its size. In recent years, real estate companies have become increasingly dependent on financing through the capital markets. READ MORE

  6. 5. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Keywords : Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Abstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE