Essays about: "credit derivatives"

Showing result 1 - 5 of 35 essays containing the words credit derivatives.

  1. 1. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

    University essay from KTH/Matematisk statistik

    Author : Lucas Fageräng; Hugo Thoursie; [2023]
    Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

    Abstract : 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

  2. 2. Pricing of Embedded Options: Implementing Stochastic Interest Rates & Stochastic Spread

    University essay from Lunds universitet/Matematisk statistik

    Author : Jan Müller; [2022]
    Keywords : Option pricing; Callable bonds; Affine term structure models; Hull-White one-factor; Hull White two-factor; Trinomial trees; Short rate; Default intensity; Swaption volatilities; Black-76; Credit derivatives; Calibration; Optimisation.; Mathematics and Statistics;

    Abstract : 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. READ MORE

  3. 3. On the Proxy Modelling of Risk-Neutral Default Probabilities

    University essay from KTH/Matematisk statistik

    Author : Edvin Lundström; [2020]
    Keywords : Counterparty Credit Risk; Credit Valuation Adjustment; CVA; Credit modelling; Reduced form model; Proxy model; Hazard rate; Cross-section model; Nomura model; Motpartsrisk; Kreditvärderingsjustering; CVA; Kreditmodellering; Proxymodellering; Nomuramodellen;

    Abstract : 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). READ MORE

  4. 4. Backtesting of simulated method for Counterparty Credit Risk

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Love Lundström; Oscar Öhman; [2020]
    Keywords : Counterparty Credit Risk; Risk Factor; Monte Carlo Simulation; Quantitative Backtesting; Statistical Backtesting; OTC Derivative;

    Abstract : 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. READ MORE

  5. 5. Efficient Monte Carlo Simulation for Counterparty Credit Risk Modeling

    University essay from KTH/Matematisk statistik

    Author : Sam Johansson; [2019]
    Keywords : CCR; OTC derivatives; European option; Bermudan option; CVA; jump-diffusion model; stochastic intensity model; Monte Carlo; variance reduction; importance sampling; least squares Monte Carlo; CCR; OTC-derivat; europeisk option; Bermuda-option; CVA; jump-diffusion-modell; stokastisk intensitetsmodell; Monte Carlo; variansreduktion; importance sampling; least squares Monte Carlo;

    Abstract : 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. READ MORE