Essays about: "Credit modeling"
Showing result 1 - 5 of 39 essays containing the words Credit modeling.
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1. Increasing explainability of neural network based retail credit risk models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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2. Predicting the Unpredictable – Using Language Models to Assess Literary Quality
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : People read for various purposes like learning specific skills, acquiring foreign languages, and enjoying the pure reading experience, etc. This kind of pure enjoyment may credit to many aspects, such as the aesthetics of languages, the beauty of rhyme, and the entertainment of being surprised by what will happen next, the last of which is typically featured in fictional narratives and is also the main topic of this project. READ MORE
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3. Modeling Credit Default Swap Spreads with Transformers : A Thesis in collaboration with Handelsbanken
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the aftermath of the credit crisis in 2007, the importance of Credit Valuation Adjustment (CVA) rose in the Over The Counter (OTC) derivative pricing process. One important part of the pricing process is to determine Probability of Defaults (PDs) of the counterparty in question. READ MORE
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4. Credit Index Forecasting: Stability of an Autoregressive Model
University essay from KTH/Matematik (Avd.)Abstract : This thesis investigates the robustness and stability of total return series for credit bond index investments. Dueto the challenges which arise for financial institutes and investors in achieving these objectives, we aim to createa forecasting model which matches the statistical properties of historical data, while remaining robust, stable andeasy to calibrate. READ MORE
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5. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness
University essay from KTH/Matematisk statistikAbstract : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. READ MORE