In insurance rate-making, the use of statistical machine learning techniques such as artificial neural networks (ANN …) is an emerging approach, and many insurance companies have been using them for pricing. However, due to the complexity of … model specification and its implementation, model explainability may be essential to meet insurance pricing transparency for …

to secure insurance at a lower premium that does not match risk. Predictive genetic testing could lead to anti …-selection in insurance markets. The extent of this impact turns on how much individuals alter their insurance purchasing behavior …

these changes should have affected the equilibrium prices of property-casualty insurance policies, and explores the extent … insurance policy and industry data on premiums earned. Although the predicted impact of the changes in the tax rules enacted in … longest-tail line of insurance, in 1987), it is small relative to the variability of the actual loss experience …

In this article, we analyze the demand factors that affected the UK insurance companies. The demand for financial … services and new insurance products has documented fundamental changes in recent years that can be attributed to three major … changes is shaping the demand for insurance products have been acknowledged by a variety of researchers. Second, savings …

We show how to construct uniform pricing frameworks for various insurance products that have prespecified deductibles …. It is shown that the deductible insurance policies' indemnity payoff functions resemble those of distinctive derivative … numerically derive the actuarially fair insurance premium for each of the five most common deductible insurance policies, namely …