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Showing result 1 - 5 of 166 essays matching the above criteria.

1. 1. ON THE CVA OF CREDIT DEFAULT SWAPS: THE IMPLICATION OF DEPENDENCE USING A COPULA APPROACH

   University essay from Göteborgs universitet/Graduate School

   Author : Sebastian Alm; Joel Fredriksson Pregmark; [2023-06-29]
   Keywords : Credit Value Adjustment; Counterparty Credit Risk; Wrong Way Risk; Credit Default Swap; Semi-Analytical Model; Interest Rate Swap;

   Abstract : This study examines the nature and background to the Credit Value Adjustment(CVA), a concept that has gained focus due the it’s heightened importance for financial institutions subsequent to the 2008 financial crisis. CVA can be defined as the the price that should be added to the bilateral defaultable contract to adjust for the existing Counterparty Credit Risk (CCR) so that the contract will have the same value as a corresponding risk-free contract. READ MORE

3. 2. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Robert Iain Salter; [2023]
   Keywords : Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

   Abstract : 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

4. 3. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

   University essay from KTH/Matematisk statistik

   Author : Lucas Fageräng; Hugo Thoursie; [2023]
   Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

   Abstract : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. READ MORE

5. 4. Increasing explainability of neural network based retail credit risk models

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

   Author : Anton Evilevitch; [2023]
   Keywords : Explainability; Artificial Neural Network; Mortgage Credit Risk Modeling; Förklarbarhet; Artificiella Neurala Nätverk; Modellering av Hypotekskreditrisk;

   Abstract : Due to their ’black box’ nature, Artificial Neural Networks (ANN) are not permitted for use in various applications. One such application is mortgage credit risk modeling. READ MORE

6. 5. Portfolio Risk Modelling in Venture Debt

   University essay from KTH/Matematisk statistik

   Author : John Eriksson; Jacob Holmberg; [2023]
   Keywords : Startup Default Probability; Venture Debt; Gaussian Copula; Value-at-Risk; Expected Shortfall; Exposure at Default; Loss Given Default; Forecast; Linear Dynamic System; ARIMA Time Series; Monte Carlo Simulation; Linear Regression; Central Limit Theorem;

   Abstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE