Sökning: "prissätta risk"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden prissätta risk.

  1. 1. Pricing and Modeling Heavy Tailed Reinsurance Treaties - A Pricing Application to Risk XL Contracts

    Master-uppsats, KTH/Matematisk statistik

    Författare :Ormia Abdullah Mohamad; Anna Westin; [2023]
    Nyckelord :Reinsurance; Extreme Value Theory; POT-model; Hill estimator; Risk XL contracts; Generalized Pareto distribution; Method of Moments.; Återförsäkring; Extremevärdesteori; POT-modellen; Hill estimatorn; Risk XL kontrakt; generella Paretofördelningen; Momentmetoden.;

    Sammanfattning : To estimate the risk of a loss occurring for insurance takers is a difficult task in the insurance industry. It is an even more difficult task to price the risk for reinsurance companies which insures the primary insurers. LÄS MER

  3. 2. Credit Exposure Modelling Using Differential Machine Learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Måns Karp; Samuel Wagner; [2023]
    Nyckelord :Counterparty credit risk; Differential machine learning; Exposure modelling; Heston model; Option pricing; Mathematics and Statistics;

    Sammanfattning : 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. LÄS MER

  4. 3. Using Gradient Boosting to Identify Pricing Errors in GLM-Based Tariffs for Non-life Insurance

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Felix Greberg; Andreas Rylander; [2022]
    Nyckelord :GLM; Gradient Boosting; XGBoost; Non-life insurance; Property Casualty; Rate making; Insurance Tariff; MTPL insurance; Machine learning; Regression trees; Tweedie regression; Credit risk; GLM; Gradient Boosting; XGBoost; Skadeförsäkring; Prissättning; Försäkringstariff; Trafikförsäkring; Regressionsträd; Maskininlärning; Tweedie-regression; Kreditrisk;

    Sammanfattning : Most non-life insurers and many creditors use regressions, more specifically Generalized Linear Models (GLM), to price their liabilities. One limitation with GLMs is that interactions between predictors are handled manually, which makes finding interactions a tedious and time-consuming task. LÄS MER

  5. 4. 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

  7. 5. Valuation of Additional Tier-1 Contingent Convertible Bonds (AT1 CoCo) : Modelling trigger risk in a practical investment setting

    Master-uppsats, KTH/Matematisk statistik

    Författare :Adrian Djerf; [2020]
    Nyckelord :AT1; CoCo; Contingent Convertible; Trigger Risk; Bonds; Valuation; Financial Mathematics; Hybrid Capital; AT1; CoCo; Contingent Convertible; Trigger risk; Obligationer; Värdering; Finansiell matematik; Hybridkapital;

    Sammanfattning : Contingent convertible bonds (often referred to as CoCo bonds, or simply CoCos) are a relatively new financial instrument designed to absorb unexpected losses. This instrument became increasingly more common after the financial crisis of 2008, as a way to decrease the risk of insolvency among banks and other financial institutions. LÄS MER