Essays about: "default prediction"
Showing result 1 - 5 of 48 essays containing the words default prediction.
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1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE
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2. A Dual-Lens Approach to Loss Given Default Estimation: Traditional Methods and Variable Analysis
University essay from KTH/Matematik (Avd.)Abstract : This report seeks to thoroughly examine different approaches to estimating Loss Given Default through a comparison of traditional estimation methods, as well as a deeper variable analysis on micro, small, and medium-sized companies using primarily regression decision trees. The comparative study concluded that estimating loss given default depends heavily on business-specific factors and data variety. READ MORE
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3. Bankruptcy determinants among Swedish SMEs : - The predictive power of financial measures
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : The main purpose of this paper is to provide evidence of financial leverage, liquidity, profitability, and firm size ability to predict bankruptcy of Swedish small and medium-sized enterprises (SMEs), and to create a bankruptcy prediction model for Swedish SMEs. The sample consists of 1086 Swedish SMEs, among which 543 did go bankrupt between 2015 and 2019. READ MORE
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4. Deep Learning Approach for Time- to-Event Modeling of Credit Risk
University essay from KTH/Matematisk statistikAbstract : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. READ MORE
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5. A comparison of the Basel III capital requirement models for financial institutions
University essay from Lunds universitet/Matematisk statistikAbstract : 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). READ MORE