This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds—ecological systemic theory and artificial intellectual methodology—this book explores a better estimation and a prediction of the demand for life insurance and will be of interest to academics and students of insurance, financial planning, and risk management.

Abstract: Insurance market activity, both as a financial intermediary and a provider of risk transfer and indemnification, may contribute to economic growth by allowing different risks to be managed more efficiently and by mobilizing domestic savings. During the past decade, there has been faster growth in insurance market activity, particularly in emerging markets given the process of liberalization and financial integration, which raises questions about its impact on economic growth. The author tests whether there is a causal relationship between insurance market activity (life and nonlife insurance) and economic growth. Using the generalized method of moments for dynamic models of panel data for 56 countries and for the 1976-2004 period, he finds robust evidence of a causal relationship between insurance market activity and economic growth. Both life and nonlife insurance have a positive and significant causal effect on economic growth. High-income countries drive the results in the case of life insurance. On the other hand, both high-income and developing countries drive the results in the case of nonlife insurance.

This book explains investing in the life insurance market. It explains what the market for used life insurance is and where it came from, and the steps to take through the entire process of a policy sale.

The importance of life insurance companies as part of the financial sector has significantly increased over the past decades, both as provider of important financial services to consumers and as a major investor in the capital market. However, the authors still observe a large variance in life insurance consumption across countries, which raises the question of its determinants. The authors use a greatly expanded data set on life insurance consumption to examine the determinants of the demand and supply of life insurance products across countries and over time. Using a cross-sectional sample of 63 countries averaged over 1980-96, the authors find that educational attainment, banking sector development, and inflation are the most robust predictors of life insurance consumption, while income is only a weak predictor. The results on educational attainment and inflation are confirmed in a panel of 23 countries over the period 1960-96. The results strengthen the case for promoting price stability, financial sector reform, and an efficient education system if life insurance and its many benefits are to be fully realized in an economy.