Essays about: "measuring credit risk"

Showing result 1 - 5 of 14 essays containing the words measuring credit risk.

1. 1. 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

3. 2. A multi-gene symbolic regression approach for predicting LGD : A benchmark comparative study

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Hanna Tuoremaa; [2023]
   Keywords : Symbolic regression; loss given default; credit risk; logit transformed regression; beta regression; multi-gene genetic programming; regression tree;

   Abstract : Under the Basel accords for measuring regulatory capital requirements, the set of credit risk parameters probability of default (PD), exposure at default (EAD) and loss given default (LGD) are measured with own estimates by the internal rating based approach. The estimated parameters are also the foundation of understanding the actual risk in a banks credit portfolio. READ MORE

4. 3. Expect the Unexpected: Measuring Noise & Bias in the Credit Assessment Process

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Jacob Skoglund; Leonard Ekberg; Pontus Govenius; [2022]
   Keywords : mortgage; credit assessment; loan officer; decision-making; bias; noise; kreditgivningsprocess; kredithandläggare; beslutsfattande; Business and Economics;

   Abstract : The purpose of the thesis is to measure how bias impacts loan officers’ decision-making upon assessing mortgage applications and the level of noise embedded within the process. Quantitative data were collected from 15 loan officers working at three different branches at Handelsbanken answering a questionnaire based on fictional mortgage applications. READ MORE

5. 4. Modern Credit Value Adjustment

   University essay from KTH/Matematik (Avd.)

   Author : Wojciech Ratusznik; [2021]
   Keywords : Credit Value Adjustment; Monte Carlo simulations; Artificial neural networks; Financial risk management; Stochastic calculus; Kreditvärdejustering; Monte Carlo simuleringar; Artificiella neurala nätverk; Riskvärdering; Stokastisk analys;

   Abstract : Counterparty risk calculations have gained importance after the latest financial crisis. The bankruptcy of Lehman Brothers showed that even large financial institutiones face a risk of default. Hence, it is important to measure the risk of default for all the contracts written between financial institutions. READ MORE

6. 5. The Relationship between United Nations’ 17 Sustainable Development Goals and Swedish Banks’ Credit Rating of Manufacturing Customers

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : MARTIN GUSTAFSSON; PATRIK ZYTOMIERSKI; [2020]
   Keywords : Sustainability; ESG; Credit Rating; Sustainable Development Goals; SDG; Sustainable Risk; Manufacturing Industry; Hållbarhet; ESG; företags kreditvärdighet; SDG; Globala målen för hållbar utveckling; hållbar risk; tillverkningsindustri;

   Abstract : The sustainable development of the section providing financing within Swedish banks are going through major challenges and changes. The United Nations is constantly working on improving sustainable directives within all industries to ultimately reach all 17 sustainable development goals that have been set up for a more sustainable world. READ MORE