Essays about: "Stress Testing Scenarios"
Showing result 1 - 5 of 17 essays containing the words Stress Testing Scenarios.
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1. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. READ MORE
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2. Credit Exposure Modelling Using Differential Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. READ MORE
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3. Hur upprätthålls livsmedelsproduktion under samhällskriser? : en studie om kvantifiering av resiliensaspekter inom REKO-ringsproduktion
University essay from SLU/Dept. of People and SocietyAbstract : Frågan om Sveriges självförsörjningsgrad har aktualiserats i samband med en ökad orosnivå i samhället, till följd av krig, pandemier, extremväder och efterföljande distributionskriser i samhället. Dagens globala och komplexa försörjningskedjor innebär att Sverige kan drabbas kraftigt av störningar som sker långt ifrån landets gränser. READ MORE
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4. Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Drought is projected to increase in frequency and intensity and impacts trees with increased water stress and increased mortality rate. Water stresses can cause hydraulic failure-related mortality or carbon starvation due to tree species having different strategies to deal with water stresses. READ MORE
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5. Scenario Generation for Stress Testing Using Generative Adversarial Networks : Deep Learning Approach to Generate Extreme but Plausible Scenarios
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Central Clearing Counterparties play a crucial role in financial markets, requiring robust risk management practices to ensure operational stability. A growing emphasis on risk analysis and stress testing from regulators has led to the need for sophisticated tools that can model extreme but plausible market scenarios. READ MORE