Essays about: "insurance company thesis"

Showing result 11 - 15 of 92 essays containing the words insurance company thesis.

  1. 11. Exploring the Dynamics of Damage Costs Inflation on Insurance Matters : An In-depth Regression Analysis on Macroeconomic Variables

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

    Author : Jacob Liljestrand; Fredrik Nyberg; [2023]
    Keywords : Inflation; Time lag; Regression; Macroeconomic variables; Insurance;

    Abstract : The aim of this thesis consist of three parts. Firstly, the aim was to developan accurate historical inflation index suitable for the insurance business, usinginformation about insurance matters. The calculated inflation index was compared to an in-house benchmark at the insurance company Gjensidige, it wasfound to be a good match. READ MORE

  3. 12. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

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

    Author : Klara Larsson; Freja Ling; [2023]
    Keywords : Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

    Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE

  4. 13. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Anton Hansson; Hugo Cedervall; [2022]
    Keywords : Insurance Fraud Detection; Anomaly Detection; Long Short-Term Memory Networks LSTM ; Unsupervised Learning; Autoencoder AE ; Variational Autoencoder VAE ; Interpretable Machine Learning; Feature Engineering; Feature Selection; Feature Importance;

    Abstract : Fraud is a common crime within the insurance industry, and insurance companies want to quickly identify fraudulent claimants as they often result in higher premiums for honest customers. Due to the digital transformation where the sheer volume and complexity of available data has grown, manual fraud detection is no longer suitable. READ MORE

  5. 14. Interactive Network Visualization of Insurance Portfolios

    University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Author : Gustavo Lemos Borba; Stella Sofia Sologaistoa Betancourt; [2022]
    Keywords : Networks; Interactive Visualizations; Insurance Cases; Data; Analytics; Business and Economics;

    Abstract : Companies are seeking new ways to analyse data, and network visualizations are a great tool to enhance the ability to understand relational data. The objective of this thesis project was to build an interactive network visualization of an insurance company’s portfolio. READ MORE

  6. 15. 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