Essays about: "försäkringsprissättning"

Showing result 1 - 5 of 7 essays containing the word försäkringsprissättning.

1. 1. 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

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

   University essay from KTH/Matematik (Avd.)

   Author : Felix Greberg; Andreas Rylander; [2022]
   Keywords : 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;

   Abstract : 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. READ MORE

4. 3. Combined Actuarial Neural Networks in Actuarial Rate Making

   University essay from KTH/Matematisk statistik

   Author : Axel Gustafsson; Jacob Hansén; [2021]
   Keywords : Insurance; insurance pricing; rate making; pure premium modelling; generalised linear model; neural network; combined actuarial neural network; black box model interpretability; Försäkring; försäkringsprissättning; tariffanalys; pure premium modellering; generalised linear model; neurala nätverk; kombinerat aktuariskt neurala nätverk; black box modelltolkning;

   Abstract : Insurance is built on the principle that a group of people contributes to a common pool of money which will be used to cover the costs for individuals who suffer from the insured event. In a competitive market, an insurance company will only be profitable if their pricing reflects the covered risks as good as possible. READ MORE

5. 4. Technical Support and Self-Service Troubleshooting: An Insurance Approach

   University essay from KTH/Matematik (Avd.)

   Author : Jakob Sundblad; [2021]
   Keywords : ;

   Abstract : Technical support and services are growing more and more competitive and have become a selling point for many companies. One way companies differentiate themselves is through extensive self-service solutions as a part of the support structure. However, the underlying cost drivers are not well understood. READ MORE

6. 5. Combined Actuarial Neural Networks in Actuarial Rate Making

   University essay from KTH/Matematisk statistik

   Author : Axel Gustafsson; Jacob Hansen; [2021]
   Keywords : Insurance; insurance pricing; rate making; pure premium modelling; generalised linear model; neural network; combined actuarial neural network; black box model interpretability; Försäkring; försäkringsprissättning; tariffanalys; pure premium modellering; generalised linear model; neurala nätverk; kombinerat aktuariskt neurala nätverk; black box modelltolkning;

   Abstract : Insurance is built on the principle that a group of people contributes to a common pool of money which will be used to cover the costs for individuals who suffer from the insured event. In a competitive market, an insurance company will only be profitable if their pricing reflects the covered risks as good as possible. READ MORE