Essays about: "Credit Modelling"
Showing result 1 - 5 of 49 essays containing the words Credit Modelling.
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1. Modelling Proxy Credit Cruves Using Recurrent Neural Networks
University essay from KTH/Matematisk statistikAbstract : 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
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2. Methods for local energy and climate planning : A Case stuudy on the Urban Community of Dunkirk
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Energy management concerns were raised in France after the oil crisis in the 1970s. From then, the local actors developed policies to better control the energy production and consumption on the territories. Climate considerations and the need to limit greenhouse gases (GHG) emissions were then added to these energy issues in the early 2000s. READ MORE
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3. A Study of Risk Factor Models: Theoretical Derivations and Practical Applications
University essay from KTH/Matematik (Avd.)Abstract : This thesis provides an end-to-end picture of the modelling of interest rates and Foreign Exchange (FX) rates. We start by defining the FX rates and the interest rates. After having a good understanding of the basics, we take a deep dive into the approaches commonly used to model interest rates and FX rates respectively. READ MORE
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4. Portfolio Risk Modelling in Venture Debt
University essay from KTH/Matematisk statistikAbstract : 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
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5. 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