The Demand for Life Insurance
Springer International Publishing (Verlag)
978-3-030-36902-6 (ISBN)
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.
Wookjae Heo is an assistant professor of Consumer Affairs at the South Dakota State University, USA. Prior to earning a PhD from the University of Georgia, USA, he had worked for a marketing consulting firm and received a MA Degree in Consumer Sciences from Seoul National University, South Korea. His main research interest is broadly about consumer behavioral intervention, financial stress on consumer behavior, demand of life insurance, and data mining/data analysis in consumer research.
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.
| Erscheinungsdatum | 23.01.2020 |
|---|---|
| Zusatzinfo | XII, 163 p. 10 illus., 2 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 148 x 210 mm |
| Gewicht | 364 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung |
| Betriebswirtschaft / Management ► Spezielle Betriebswirtschaftslehre ► Versicherungsbetriebslehre | |
| Schlagworte | Ecological Systemic Theory • Financial Planning • Household finance • insurance • insurance planning • life insurance • machine learning • Prediction with Dynamic Approach |
| ISBN-10 | 3-030-36902-1 / 3030369021 |
| ISBN-13 | 978-3-030-36902-6 / 9783030369026 |
| Zustand | Neuware |
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