Essays about: "thesis on insurance industry"

Showing result 1 - 5 of 53 essays containing the words thesis on insurance industry.

1. 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 School

   Author : Ezabella Kwok; Sarah Pramle; [2023-07-19]
   Keywords : Risk; Risk Management; Commercial Insurance; Insurance Value Chain; Global Disruption; Covid-19 Pandemic;

   Abstract : 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

3. 2. Double Machine Learning for Insurance Price Optimization

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

   Author : Jakob Kristiansson; [2023]
   Keywords : DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

   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

4. 3. A Predictive Analysis of Customer Churn

   University essay from KTH/Matematisk statistik

   Author : Olivia Eskils; Anna Backman; [2023]
   Keywords : Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

   Abstract : 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

5. 4. 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 datavetenskap

   Author : Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Keywords : Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Abstract : 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

6. 5. Rapid expansion of roof mounted PV systems in commercial facilities - How can they be insured?

   University essay from Lunds universitet/Riskhantering (CI); Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

   Author : Erik Lindén; [2023]
   Keywords : PV system fires; PV component failures; PV regulations; future PV regulations; PV risk assessment; PV risk evaluation; PV insurance price; Technology and Engineering;

   Abstract : PV system components that are exposed to unmanageable strain can be overheated, which subsequently results in a fire ignition. Common failure factors are poor component quality, mechanical exposure due to natural phenomena and poor craftmanship. The underlying problem is that PV regulations are lacking in quality or are non-existent. READ MORE