The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques

Author:   Wookjae Heo
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030369057


Pages:   163
Publication Date:   28 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques


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Overview

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.

Full Product Details

Author:   Wookjae Heo
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030369057


ISBN 10:   3030369056
Pages:   163
Publication Date:   28 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

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.

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