Sökning: "Credit institute"
Visar resultat 1 - 5 av 25 uppsatser innehållade orden Credit institute.
1. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. LÄS MER
2. A comparison of the Basel III capital requirement models for financial institutions
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The purpose of this report is to implement and compare the two Basel III standard methods on how to calculate the capital requirement for finan- cial institutions, related to counterparty credit risk. The models being the Standardized Approach for Counterparty Credit Risk (SA-CCR) and the Internal Model Method (IMM). LÄS MER
3. Invandrare som företagare i Sverige
Kandidat-uppsats, Malmö universitet/Malmö Institute for Studies of Migration, Diversity and Welfare (MIM)Sammanfattning : Discussions about and interest in small businesses are important for our public debates when it comes to internationalization of trade and economics and the number of immigrant companies, i.e. companies run by people with a foreign background.To start and run a business, access to resources is a central starting point. LÄS MER
4. Climate-neutral buildings – Impact of existing definitions on building design
Master-uppsats, Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljöSammanfattning : Climate change poses one of the most substantial threats to humanity today global greenhouse gas emissions are not reduced drastically in the near future, it can lead to severe consequences worldwide. To address this issue, global and national goals have been developed which aim to foster climate-neutral societies and industries. LÄS MER
5. Bank risk analysis with machine learning
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Nowadays, the time and resources needed to get an accurate estima-tion of a client’s ability to pay back a loan has gone up. With theamount of data complexity it involves to do the credit risk analysis, the machine learning technique has been used to ease the process. LÄS MER