Essays about: "Insurance Industry"
Showing result 1 - 5 of 118 essays containing the words Insurance Industry.
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1. Insuring the Future: Managing Risks and Disruptions within the Insurance Value Chain - A multiple case study on the commercial insurance industry
University essay from Göteborgs universitet/Graduate SchoolAbstract : Globalization has resulted in the fragmentation of business activities and participation in cross-border networks, giving rise to Global Value Chains, thus increasing vulnerability to risks and disruptions. While there is existing research on risk management in tangible product production within GVCs, there is a scarcity of literature on risk management in service industries, particularly on the Insurance Value Chain. READ MORE
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2. Double Machine Learning for Insurance Price Optimization
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. READ MORE
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3. Mapping of prevalence, diagnostics and treatments of orthopedic injuries in Swedish trotting horses
University essay from SLU/Dept. of Clinical SciencesAbstract : Equine sport is the third largest sport in Sweden with an estimated number of 350,000 horses in the country. Trotting racing is the biggest branch in the Swedish equine industry, around 80,000 out of the horse population are trotting horses. Sweden is ranked to be among the top three leading countries in the world holding trotting races. READ MORE
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4. A Predictive Analysis of Customer Churn
University essay from KTH/Matematisk statistikAbstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE
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5. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. READ MORE