Sökning: "Default risk"

Visar resultat 11 - 15 av 282 uppsatser innehållade orden Default risk.

1. 11. The Impact of the Recession on Swedish Real Estate Companies : A Study of Financial Strategy and Risk Management of Companies with Different Credit Ratings

   Master-uppsats, KTH/Fastighetsföretagande och finansiella system

   Författare :Greta Aronsson; Elsa Johannessen; [2023]
   Nyckelord :Credit Rating; Financial Strategy; Risk Management; Capital Structure; Capital Market Financing; Bank Financing; Real Estate Market; Kreditbetyg; Finansiell strategi; Riskhantering; Kapitalstruktur; Kapitalmarknadsfinansiering; Bankfinansiering; Fastighetsmarknaden;

   Sammanfattning : The world's economies are in a turbulent phase where rising inflation has hit the global and Swedish economy hard. The Central Bank of Sweden has raised the policy rate expansively in recent months, with the intention of curbing inflation. LÄS MER

3. 12. Credit scoring using Logistic regression

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

   Författare :Iftho Hara Khanam; [2023]
   Nyckelord :Kurtosis; Skewness; Winsorization; Logistic regression analysis; Maximum likelihood estimation; Newton–Raphson method; T–ratio test; P-value; LR test;

   Sammanfattning : In this thesis, we present the use of logistic regression method to develop a credit scoring modelusing the raw data of 4447 customers of a bank. The data of customers is collected under 14independent explanatory variables and 1 default indicator. The objective of this thesis is toidentify optimal coefficients. LÄS MER

4. 13. Applying the Shadow Rating Approach: A Practical Review

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Viktor Barry; Carl Stenfelt; [2023]
   Nyckelord :Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

   Sammanfattning : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. LÄS MER

5. 14. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

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

   Författare :Elias Hadad; Angus Wigton; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

7. 15. A Correlation Study on the Relationship between Credit Default Swap (CDS) Spreads and ESG Sentiment in the Banking Sector

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

   Författare :Mattias Olsson; Shabier Stanakzai; [2023]
   Nyckelord :ESG; Sentiment; CDS spreads.; Business and Economics;

   Sammanfattning : This study examines the influence of online ESG sentiment on credit market price movement in the banking sector. By employing a panel regression model with fixed effect for firms and time, the study’s findings indicate an inverse relationship between online ESG sentiment and CDS spread in accordance, to some extent, with previous literature. LÄS MER