Essays about: "Non-life insurance"

Showing result 1 - 5 of 15 essays containing the words Non-life insurance.

  1. 1. Spatial Statistical Modelling of Insurance Claim Frequency

    University essay from Lunds universitet/Matematisk statistik

    Author : Daniel Faller; [2022]
    Keywords : Insurance risk; claim frequency; Markov chain Monte Carlo MCMC ; Riemann manifold Metropolis adjusted Langevin algorithm MMALA ; spatial statistics; Gaussian Markov random field GMRF ; preconditioned Crank Nicolson Langevin algorithm pCNL ; Gibbs sampling; Bayesian hierarchical modelling; high dimensional; shrinkage prior; horseshoe prior; regularisation.; Mathematics and Statistics;

    Abstract : In this thesis a fully Bayesian hierarchical model that estimates the number of aggregated insurance claims per year for non-life insurances is constructed using Markov chain Monte Carlo based inference with Riemannian Langevin diffusion. Some versions of the model incorporate a spatial effect, viewed as the relative spatial insurance risk that originates from a policyholder's geographical location and where the relative spatial insurance risk is modelled as a continuous spatial field. READ MORE

  2. 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

  3. 3. Evaluation of the Variance in the Premium Provision Estimate : Handling Inhomogeneous and Decreasing Risk in Premium Provision Purposes

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik; Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Eric Egelius; Anna Methander; [2021]
    Keywords : Premium Provision; Reserves; Insurance; Claim Frequency; Inhomogeneous Risk; Claim Severity; Hidden Fault; Title Transfer Insurance; Premiereserv; Reserv; Försäkring; Skadefrekvens; Inhomogen Risk; Skadekostnad; Dolda Fel; Säljaransvarsförsäkring;

    Abstract : The costs related to events of losses within non-life insurance are stochastic and a prerequisite of running a successful insurance business is to predict risks and future costs. From both a business- and regulatory perspective, it is of high interest to have a genuine understanding of the precision and the sensitivity of the estimated costs and future risks. READ MORE

  4. 4. Increasing Retention in Insurtechs Through Churn Prediction

    University essay from Lunds universitet/Innovationsteknik

    Author : John Rapp Farnes; Oskar Christiansen; [2021]
    Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

    Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE

  5. 5. Application of the Ordered Lorenz Curve in the Analysis of a Non-Life Insurance Portfolio

    University essay from KTH/Matematisk statistik

    Author : Fredrik Ahlberg; [2019]
    Keywords : ;

    Abstract : Insurance analysts have a great variety of assessment tools at their disposal in order to ensure a healthy insurance portfolio. To describe the financial income and loss distribution of the insurance portfolio one of the more fundamental mathematical instrument is the Lorenz curve. A measure developed in the early 19th centrury by Max O. READ MORE