Sökning: "Credit Valuation Adjustment"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Credit Valuation Adjustment.

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

    Master-uppsats, KTH/Matematisk statistik

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

    Sammanfattning : 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

  3. 2. Modeling Credit Default Swap Spreads with Transformers : A Thesis in collaboration with Handelsbanken

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan Luhr; [2023]
    Nyckelord :Machine Learning; Transformer; Finance; Credit Default Swap; Credit Valuation Adjustment; Time Series Data; Maskininlärning; Transformer; Finance; Kreditswapp; Kredit Värderings Justering; Tidsserie data;

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, KTH/Matematisk statistik

    Författare :Edvin Lundström; [2020]
    Nyckelord :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;

    Sammanfattning : 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

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

    Master-uppsats, KTH/Matematisk statistik

    Författare :Sam Johansson; [2019]
    Nyckelord :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;

    Sammanfattning : 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

  7. 5. An Extreme Value Approach To Pricing Credit Risk

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Sofia Landin; [2018]
    Nyckelord :Credit Risk; Credit Default Swap; Credit Valuation Adjustment; Extreme Value Theory; Generalized Extreme Value Distribution; Gumbel Distribution; Generalized Pareto Distribution; Block Maxima; Peak-over-Threshold; Probable Maximum Loss; Mathematics and Statistics;

    Sammanfattning : An Extreme Value Approach To Pricing Credit Risk will outline the possibility to investigate a company’s price of risk over different time periods given a pre-defined risk level. With help of credit default swap (CDS) prices and extreme value theory the credit risk can be estimated for different return levels. LÄS MER