The demand for life insurance : dynamic ecological systemic theory using machine learning techniques

Wookjae Heo

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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Year of publication:	[2020]
Authors:	Heo, Wookjae
Publisher:	Cham, Switzerland : Palgrave Macmillan
Subject:	Lebensversicherung \| Life insurance \| Kaufentscheidung \| Purchase decision \| Anlageverhalten \| Behavioural finance \| Versicherungsmarkt \| Insurance market \| Dynamisches System \| Dynamical system \| Künstliche Intelligenz \| Artificial intelligence
Description of contents:	Table of Contents [gbv.de]

Extent:	xii, 163 Seiten
Series:	Palgrave pivot
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-36902-6 ; 978-3-030-36903-3 ; 978-3-030-36904-0 ; 978-3-030-36905-7
Other identifiers:	10.1007/978-3-030-36903-3 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012171465