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Showing result 1 - 5 of 6 essays matching the above criteria.

  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. 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

    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

  3. 3. 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

  4. 4. Modelling Non-life Insurance Policyholder Price Sensitivity : A Statistical Analysis Performed with Logistic Regression

    University essay from KTH/Matematisk statistik

    Author : Patrik Hardin; Sam Tabari; [2017]
    Keywords : Mathematical Statistics; Regression Analysis; Logistic Regression; Generalized Linear Model; Insurance Pricing; Price Sensitivity; Data Analysis; Matematisk Statistik; Regression; Logistisk Regression; Försäkringsprissättning; Priskänslighet; Dataanalys;

    Abstract : This bachelor thesis within mathematical statistics studies the possibility of modelling the renewal probability for commercial non-life insurance policyholders. The project was carried out in collaboration with the non-life insurance company If P&C Insurance Ltd. at their headquarters in Stockholm, Sweden. READ MORE

  5. 5. How big is large? : A study of the limit for large insurance claims in case reserves

    University essay from KTH/Matematisk statistik

    Author : Kalle Lindblad; [2011]
    Keywords : Insurance claims; Monte Carlo simulation; large claims; small claims; case reserve; distributions for insurance claims; general insurance; non-life insurance;

    Abstract : A company issuing an insurance will provide, in return for a monetary premium, acceptance of the liability to make certain payments to the insured person or company if some beforehand specified event occurs. There will always be a delay between occurrence of this event and actual payment from the insurance company. READ MORE