Essays about: "insurance customer"

Showing result 6 - 10 of 63 essays containing the words insurance customer.

  1. 6. Lorenz Curve for Profitable Insurance Portfolio Management

    University essay from KTH/Matematik (Avd.)

    Author : Gustaf Törner; Erik Sävenäs; [2023]
    Keywords : Lorenz curve; Gini index; multi-linerar regression analysis; Box-Cox; Insurance; Lorenzkurva; Gini index; multi-linjär regressionsanalys; Box-Cox; Försäkring;

    Abstract : Since its introduction by Max Otto Lorenz, the Lorenz curve has been utilizedin several financial contexts. By using regression analysis to approximate theclaim cost of policyholders, a vector consisting of policyholder characteristics canbe obtained. READ MORE

  3. 7. Estimating the risk of insurance fraud based on tonal analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Henrik Steneld; [2022]
    Keywords : Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Abstract : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. READ MORE

  4. 8. 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

  5. 9. Hur påverkas långsiktiga kundrelationer av digital marknadsföring? : en studie av etablerade lantbrukskunders upplevelser av Länsförsäkringar Uppsalas digitala marknadsföring

    University essay from SLU/Dept. of Economics

    Author : Josefine Beckman; Elisabeth Granath; [2021]
    Keywords : digital marknadsföring; försäkringsbolad; lantbruk; relationsmarknadsföring;

    Abstract : Marknadsföring används för att nå ut på marknaden med syftet att sälja en produkt eller tjänst. Tidigare exponerades konsumenten för marknadsföring främst i tv, radio och tidningar. Denna traditionella marknadsföring finns fortfarande kvar, men en ny generation av digital marknadsföring har nu nått oss. READ MORE

  6. 10. 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