DocumentCode
142240
Title
Optimal investments strategy for whole life insurance policies
Author
Yi-Wen Wu ; Hsu, William W. Y. ; Mu-En Wu ; Cheng-Yu Lu
Author_Institution
Dept. of Comput. Sci. & Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Volume
3
fYear
2014
fDate
26-28 April 2014
Firstpage
1951
Lastpage
1955
Abstract
Life insurances have become a necessity in our daily life. The United States government census data shows that insurance premiums totaled approximately 8.18% of the GDP. As for Taiwan, the government statistics data indicates that each person holds 2.23 life insurance policies on average and the money spent in life insurances measure up to 18.19% of the GDP, ranking first in the world. However, most people make investments in life insurances with a buy-and-forget strategy, not knowing how much this insurance is worth to them. In this paper, we focus on providing a valuation method for both annuity and non-annuity style life insurances, including fixed-term and whole life policies. Based of the FinancialCloud architecture, we designed a system to compute how much an insurance policy is worth. We reveal the knowledge on what did the insurer pay for the insurance, what does the insurer get from the insurance, and enable the comparison on different policies to provide suggestions for optimal investments.
Keywords
cloud computing; cost accounting; insurance data processing; investment; FinancialCloud architecture; GDP; Taiwan government statistics data; United States government census data; buy-and-forget strategy; fixed-term insurance policies; insurance premiums; nonannuity style life insurances; optimal investment strategy; valuation method; whole life insurance policies; Computer architecture; Contracts; Economic indicators; Government; Insurance; Investment; Pricing; Annuity; Beneficiary; Cloud computing; Life insurance; Optimal investment;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6946264
Filename
6946264
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