Effect of affordability on insurance purchase in Hong Kong

Frankie Yeung, Kin Keung Lai, Yan Pui Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

According to various studies conducted by the Hong Kong Special Administrative Region Government, the penetration of self-purchased insurance is rather low. But scholars revealed an ever growing trend in demand for life-insurance from various indicators, this together with the continuous reforms in the health protection system provide a potential development for the industry. To turn the desires into practice, comprehensive and accurate customer analysis is crucial. From time to time, income has been used as one of the major factors in explaining the insurance behaviour. However, the definition should not be limited to traditional context. With the use of a series of logistic regression models, it is revealed that new variables like personal finance consideration and the age of first policy purchase can act as the rationale of insurance purchase and provide different perspectives for affordability.

Original languageEnglish
Title of host publicationProceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013
EditorsLean Yu, Rongda Chen, Shouyang Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages324-328
Number of pages5
ISBN (Electronic)9781479947775
DOIs
Publication statusPublished - 18 Nov 2014
Event6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 - Hangzhou, Zhejiang, China
Duration: 14 Nov 201316 Nov 2013

Publication series

NameProceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013

Conference

Conference6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013
Country/TerritoryChina
CityHangzhou, Zhejiang
Period14/11/1316/11/13

Keywords

  • Affordability
  • Insurance behaviour
  • Insurance customer analysis
  • Insurance purchase
  • Life insurance

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