Sökning: "Insurance Company"

Visar resultat 1 - 5 av 343 uppsatser innehållade orden Insurance Company.

  1. 1. ON THE CVA OF CREDIT DEFAULT SWAPS: THE IMPLICATION OF DEPENDENCE USING A COPULA APPROACH

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Sebastian Alm; Joel Fredriksson Pregmark; [2023-06-29]
    Nyckelord :Credit Value Adjustment; Counterparty Credit Risk; Wrong Way Risk; Credit Default Swap; Semi-Analytical Model; Interest Rate Swap;

    Sammanfattning : This study examines the nature and background to the Credit Value Adjustment(CVA), a concept that has gained focus due the it’s heightened importance for financial institutions subsequent to the 2008 financial crisis. CVA can be defined as the the price that should be added to the bilateral defaultable contract to adjust for the existing Counterparty Credit Risk (CCR) so that the contract will have the same value as a corresponding risk-free contract. LÄS MER

  3. 2. Undersökning av riskarbete i en beslutsprocess för säljkontrakt

    Uppsats för yrkesexamina på grundnivå, Linnéuniversitetet/Institutionen för maskinteknik (MT)

    Författare :Gabriel Brorsson; Henrik Nomark; [2023]
    Nyckelord :risk analysis; risk management; risk identification; data driven decisions; FDFMEA; riskanalys; riskarbete; riskhantering; riskidentifiering; datadrivna beslut; FDFMEA;

    Sammanfattning : Risks are something that occur daily for all individuals and can arise from a variety of activities. If we don't take these risks into account, we will likely eventually be affected by them. By identifying and analyzing risks, the most appropriate decision can be made to mitigate or avoid the risk completely. LÄS MER

  4. 3. Ömsesidiga livbolag, portföljstruktur och investeringsstrategi : En studie på generationella utfall i simulerade marknadsscenarion

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Zara Salimova; Erik Thysell; [2023]
    Nyckelord :investeringsstrategi; livbolag; ömsesidigt; portföljstruktur; generation; marknadskonsistenta scenarion;

    Sammanfattning : This thesis examines the issue of subsidization and returns in a mutual life insurance company in run-off, where policyholders share both profits and risks. The thesis analyzes how different portfolio structures, investment strategies, and market scenarios affect the various generations in the company and which approach provides the fairest outcome for all generations. LÄS MER

  5. 4. Double Machine Learning for Insurance Price Optimization

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Jakob Kristiansson; [2023]
    Nyckelord :DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

    Sammanfattning : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. LÄS MER

  7. 5. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER