Essays about: "banking loan performance"

Showing result 1 - 5 of 13 essays containing the words banking loan performance.

1. 1. ESG and Financial Stability in the Banking Sector

   University essay from Uppsala universitet/Företagsekonomiska institutionen

   Author : Zohreh Asgari; Jovita Molyte; [2023]
   Keywords : ESG; Sustainability; Financial Stability; Z-score; Tobin’s Q; Non-performing loans; Banks; Financial Sector; Economic Distress; Covid-19;

   Abstract : The banking sector is experiencing an increasing interest in evaluating environmental performance, social responsibility, and corporate governance (ESG), since the internationalcontext aroused discussions on advantages of incorporating ESG-related policies. Therefore,significant relationships between ESG engagement and financial performance and stabilityare expected. READ MORE

3. 2. Credit Risk Analysis with Machine Learning for Peer-to-Peer Lending

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : Lingzhi Huang; Wanlin Hu; [2021]
   Keywords : Credit Risk; Default; Machine Learning; Peer-to-Peer Lending; Predictive Modelling;

   Abstract : In the past decade, the scale and scope of fintech credit have snowballed. The peer-to-peer lending industry can be seen as a complement to the traditional banking system. Improving the performance of lending platforms by increasing the accuracy of credit default predictions can help these platforms establish a decisive advantage in the market. READ MORE

4. 3. Machine Learning in Banking : Exploring the feasibility of using consumer level bank transaction data for credit risk evaluation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Thim Lohse; [2019]
   Keywords : ;

   Abstract : The financial industry is changing rapidly as a result of the increasing digitization of financial and economic resources and services. With a continuous increase in online payments and decrease in the usage of physical currency a new data source of fine-grained payment activities describing consumer behaviour has emerged. READ MORE

5. 4. High-risk Consumer Credit Scoring using Machine Learning Classification

   University essay from Lunds universitet/Matematisk statistik

   Author : Max Mjörnell; Ludvig Levay; [2019]
   Keywords : Machine learning; Scorecard modelling; Logistic regression; Support Vector Machine; Decision Tree; Random Forest; k-Nearest Neighbors; Artificial Neural Network; Voting ensemble; SHAP; LIME; Average Precision score; Feature engineering; Mathematics and Statistics;

   Abstract : The use of statistical models in credit rating and application scorecard modelling is a thoroughly explored field within the financial sector and a central component in a credit institution’s underlying business model. The aim of this report was to apply and compare six different machine learning models in predicting credit defaults for high-risk consumer credits, using a data set provided by a Swedish consumer credit institute. READ MORE

6. 5. Comparison of Performance Between Social and Conventional Banks : An Empirical Study of Banks in Europe

   University essay from Umeå universitet/Företagsekonomi

   Author : Anna Koivusalo; Mouaz Mansour; [2018]
   Keywords : social banks; bank performance; financial crisis;

   Abstract : Banks as financial institutions play an important role in the lives of people by facilitating the flow of funds and ensuring the stability of the global economy. Recently, the world economy witnessed various financial shocks that escalated into a financial crisis between 2007 and 2009. READ MORE