Sökning: "consumer credit"

Visar resultat 11 - 15 av 89 uppsatser innehållade orden consumer credit.

1. 11. The Usefulness Of Modern Management Accounting Techniques On Management’S Decision Making: Case Of The Nigerian Manufacturing Industry

   Master-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)

   Författare :Ugochukwu Kingsley Ebinaso; Chinedu Francis Ukwunna; [2022]
   Nyckelord :;

   Sammanfattning : ABSTRACT Purpose: This thesis examines the adoption and usage of modern management accounting techniques among the listed consumer goods manufacturing firms in Nigeria. Research Questions: This thesis addressed three research questions. LÄS MER

3. 12. Credit Scoring using Machine Learning Approaches

   Master-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Författare :Bornvalue Chitambira; [2022]
   Nyckelord :Credit Scoring; Logistic Regression; Decision Trees; Artificial Neural Networks; Random forests; Support Vector Machine; k-nearest neighbour; cross validation; imbalanced dataset;

   Sammanfattning : This project will explore machine learning approaches that are used in creditscoring. In this study we consider consumer credit scoring instead of corporatecredit scoring and our focus is on methods that are currently used in practiceby banks such as logistic regression and decision trees and also compare theirperformance against machine learning approaches such as support vector machines (SVM), neural networks and random forests. LÄS MER

4. 13. The influence of macroenvironmental factors on online shopping and the use of BNPL

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Maria Hardin; Moira Twengström; [2022]
   Nyckelord :‘Buy now; pay later’; consumer credit; online shopping; e-commerce; culture; ‘Buy now; pay later’; konsumentkredit; näthandel; e-handel; kultur;

   Sammanfattning : In the early days of e-commerce, countries took to the phenomenon at very different speeds. Researchers proved the most important factors for this to be propensity for trust and the perceived risk of online purchases. LÄS MER

5. 14. The value of detailed product information in credit risk prediction : A case study applied to Klarna’s Pay Later orders in Sweden

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Mimmi Andersson; Louise von Sydow Yllenius; [2022]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

7. 15. Probability of Default Term Structure Modeling : A Comparison Between Machine Learning and Markov Chains

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Hugo Englund; Viktor Mostberg; [2022]
   Nyckelord :Machine Learning; Deep Neural Networks; XGBoost; Probability of Default; Term Structure Modeling; IFRS 9; Maskininlärning; Djupa neuronnät; XGBoost; Fallisemangsrisk; Terminsstruktursmodellering; IFRS 9;

   Sammanfattning : During the recent years, numerous so-called Buy Now, Pay Later companies have emerged. A type of financial institution offering short term consumer credit contracts. As these institutions have gained popularity, their undertaken credit risk has increased vastly. Simultaneously, the IFRS 9 regulatory requirements must be complied with. LÄS MER