Essays about: "insurance model thesis"

Showing result 1 - 5 of 103 essays containing the words insurance model thesis.

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

    University essay from Göteborgs universitet/Graduate School

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

    Abstract : 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. READ MORE

  3. 2. Double Machine Learning for Insurance Price Optimization

    University essay from KTH/Skolan för industriell teknik och management (ITM)

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

    Abstract : 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. READ MORE

  4. 3. Detection of insurance fraud using NLP and ML

    University essay from Lunds universitet/Matematisk statistik

    Author : Rasmus Bäcklund; Hampus Öhman; [2023]
    Keywords : Technology and Engineering;

    Abstract : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. READ MORE

  5. 4. A Predictive Analysis of Customer Churn

    University essay from KTH/Matematisk statistik

    Author : Olivia Eskils; Anna Backman; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from KTH/Matematisk statistik

    Author : Ormia Abdullah Mohamad; Anna Westin; [2023]
    Keywords : 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.;

    Abstract : 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. READ MORE