Sökning: "Credit derivatives"
Visar resultat 1 - 5 av 38 uppsatser innehållade orden Credit derivatives.
1. Modelling Proxy Credit Cruves Using Recurrent Neural Networks
Master-uppsats, KTH/Matematisk statistikSammanfattning : 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. LÄS MER
2. Pricing of Embedded Options: Implementing Stochastic Interest Rates & Stochastic Spread
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Given the current market climate, in an era of negative interest-rates, the Hull-White model has regained popularity in the eyes of investors. This thesis aims to extend this model to incorporate credit risk, to allow the modelling of credit derivatives such as diff swaps, defaultable corporate bonds and credit default swaps. LÄS MER
3. On the Proxy Modelling of Risk-Neutral Default Probabilities
Master-uppsats, KTH/Matematisk statistikSammanfattning : Since the default of Lehman Brothers in 2008, it has become increasingly important to measure, manage and price the default risk in financial derivatives. Default risk in financial derivatives is referred to as counterparty credit risk (CCR). The price of CCR is captured in Credit Valuation Adjustment (CVA). LÄS MER
4. Backtesting of simulated method for Counterparty Credit Risk
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : After the financial crisis of 2008 regulators found that the derivative market, where financial institutions traded OTC derivatives with each other, played a significantrole in triggering the crisis. This led to the emergence of Counterparty Credit Risk(CCR) which is used to measure the exposure banks have to their counterparties. LÄS MER
5. Efficient Monte Carlo Simulation for Counterparty Credit Risk Modeling
Master-uppsats, KTH/Matematisk statistikSammanfattning : In this paper, Monte Carlo simulation for CCR (Counterparty Credit Risk) modeling is investigated. A jump-diffusion model, Bates' model, is used to describe the price process of an asset, and the counterparty default probability is described by a stochastic intensity model with constant intensity. LÄS MER