Essays about: "The use of life insurance"

Showing result 1 - 5 of 21 essays containing the words The use of life insurance.

  1. 1. Navigating the Happiness Economics Landscape: Mapping the Influences on Life Satisfaction and Possible Interventions

    University essay from Göteborgs universitet/Graduate School

    Author : Klendeta Bivolaku; Linn Hellqvist; [2023-06-29]
    Keywords : Happiness Economics; Personality traits; Life satisfaction; World Bank’s STEP survey; WVS; Double-lasso; Forward selection;

    Abstract : This study explores factors that influence subjective well-being in low- and middle-income countries by analysing unique individual- and country-level data. The study focuses on several unexplored determinants including personality traits, economic shocks and cultural differences. READ MORE

  2. 2. An Introduction to Premium Setting of Life Insurance Annuities

    University essay from Stockholms universitet/Matematiska institutionen

    Author : Viktor C. E. Ellerud; Leo G. Levenius; [2023]
    Keywords : Life insurance; annuity; premium setting; pension scheme;

    Abstract : This paper aims to introduce the reader to the premium setting of annuities within life insurance. This is done using a hypothetical annuity contract offered to 36-year-olds in Sweden. The contract provides an annual pension from age 65 until either the individual's death or age 90, after which payouts cease. READ MORE

  3. 3. Conditions for Circular Electric Vehicle Battery Value Chains : Exploring Opportunities for Circular Economy Implementation in the Value Chain of Electric Vehicle Batteries in Nairobi, Kenya

    University essay from Linköpings universitet/Industriell miljöteknik

    Author : Johanna Hegenbart; Sofie Rosmark; [2023]
    Keywords : Circular Economy; Electric Vehicle Batteries; Sustainability; Ecosystem;

    Abstract : To reduce the negative impacts of climate change, electric vehicles (EVs) have emerged as a viable solution in the mobility sector, leading to an increase in battery production and use. For electric vehicle batteries (EVBs) to be sustainable, the total impact of the supply and value chain has to be as low as possible, making the implementation of circular economy (CE) principles a key element in the transition. READ MORE

  4. 4. 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

  5. 5. 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