Essays about: "Credit Risk"
Showing result 16 - 20 of 437 essays containing the words Credit Risk.
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16. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. READ MORE
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17. Financial Frontlines: Assessing the impact of the Russia-Ukraine conflict on the European corporate bond market
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This paper investigates how European firms accessed the corporate bond market during the Russia-Ukraine war. Using a comprehensive dataset of European bond issues from 2017-2023, we find that fewer bonds were issued during the war than in previous periods, particularly Russian bonds and those denominated in Rubles. READ MORE
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18. 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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19. Simulation Based Methods for Credit Risk Management in Payment Service Provider Portfolios
University essay from KTH/Matematik (Avd.)Abstract : Payment service providers have unique credit portfolios with different characteristics than many other credit providers. It is therefore important to study if common credit risk estimation methods are applicable to their setting. READ MORE
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20. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE