Wookjae Heo
Springer International Publishing
e druk, 2020
9783030369057
The Demand for Life Insurance
Dynamic Ecological Systemic Theory Using Machine Learning Techniques
Specificaties
Paperback, blz.
|
Engels
Springer International Publishing |
2020
ISBN13: 9783030369057
Rubricering
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783030369057
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Inhoudsopgave
Introduction: A Need of New Framework in Financial Planning with the Case of Life Insurance Demand.- Theoretical Background: A New Theoretical Framework for Financial Planning with the Case of Life Insurance Demand.- Literature Review: Previous Literature for Understanding Life Insurance and Behavioral Demand for Life Insurance.- Practical Approach: Practical Approach to Personal Needs of Life Insurance with Dynamic Systemic Framework.- Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework.- Empirical Analysis Part 2 Result and Findings: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework.- Implications and Conclusion: Implications and Conclusion from the Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework.