Actuarial Mathematics. Time-Continuous Models for Life Insurance

2021 ◽  
Author(s):  
Ermanno Pitacco ◽  
Daniela Tabakova
Keyword(s):  
Life Insurance ◽  
Actuarial Mathematics ◽  
Continuous Models

scholarly journals PENGGUNAAN MODEL RASCH UNTUK ANALISIS INSTRUMEN TES PADA MATA KULIAH MATEMATIKA AKTUARIA

2020 ◽  
Vol 3 (1) ◽  
pp. 45-50
Author(s):  
Azizah Azizah ◽  
Sapti Wahyuningsih
Keyword(s):  
Life Insurance ◽  
Rasch Model ◽  
Multiple Choice ◽  
State University ◽  
Multiple Choice Questions ◽  
Mathematics Courses ◽  
Actuarial Mathematics ◽  
Premium Calculation ◽  
Program Output ◽  
The Rasch Model

This research was conducted to analyze the test instruments used to measure the ability of students in actuarial mathematics courses in mathematics department, State University of Malang. Participants in this course consist of 40 students. The form of questions given were  multiple choice questions totaling 50 items related to the premium calculation material on life insurance. The Rasch model is used to get fit items. This analysis is carried out with the help of Winsteps software. From the Winsteps program output, 25 items were obtained fit to the Rasch model with an average MNSQ Outfit score for person and item 0.98 and 0.98, respectively. While the Outfit ZSTD value for person and item are 0 and -0.01 respectively. While the reliability of the instrument stated in alpha cronbach is 0.85

scholarly journals PERHITUNGAN PREMI ASURANSI JIWA DWIGUNA PASUTRI SEBAGAI PENERAPAN PEMBELAJARAN MATEMATIKA EKONOMI

2016 ◽  
Vol 3 (1) ◽  
pp. 99
Author(s):  
Irma Fauziah
Keyword(s):  
Family Member ◽  
Uniform Distribution ◽  
Life Insurance ◽  
Insurance Premium ◽  
Discount Factor ◽  
Mathematical Economics ◽  
Force Of Mortality ◽  
Actuarial Mathematics ◽  
The One ◽  
Compound Interest

<p>In learning mathematical economics, the calculation of life insurance premiums is a matter concerning the application of a combination of compound interest, probability, differential and integral.  Life insurance with multilife concept is the one of ap- plied in actuarial mathematics.  A functions, in the actuarial cal- culation, related to death sequence in multilife concept is called as contingent function.   Usage that function in calculation of insurance premium will assist the insurer in giving the benet precisely.<br />Contingent probabilities are resulted by multiplication be- tween the force of mortality of life in the last sequence of death which have been determined and probabilities of life all family member in multilife status. Insurance formulation is obtained by mutiplying this probabilities with <em>v</em>t discount factor and they are integrated by using the assumption of a uniform distribution of death throughout the year of age.</p>

Tuesday Evening

PMLA ◽  
1935 ◽  
Vol 50 (4) ◽  
pp. 1357-1357
Keyword(s):  
Life Insurance ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Local Committee ◽  
Tuesday Evening

On Tuesday evening the members of the Association, and attending members of their families, were entertained with a buffet supper at the Queen City Club at 7:30 p.m. at the invitation of Messrs. Joseph S. Graydon, John J. Rowe, and other Cincinnati friends of the Association. Following this supper an entertainment arranged by the Local Committee was presented in the Hall of the Western and Southern Life Insurance Company. Attendance: about 900.

Actuarial Mathematics for Life Contingent Risks

2019 ◽  
Author(s):  
David C. M. Dickson ◽  
Mary R. Hardy ◽  
Howard R. Waters
Keyword(s):  
Actuarial Mathematics

Assessing the Impact of Suicide Exclusion Periods on Life Insurance

Crisis ◽  
2010 ◽  
Vol 31 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Paul Yip ◽  
David Pitt ◽  
Yan Wang ◽  
Xueyuan Wu ◽  
Ray Watson ◽  
...  
Keyword(s):  
Life Insurance ◽  
Accidental Death ◽  
Insurance Policy ◽  
Death Rates ◽  
Insurance Policies ◽  
Suicidal Death ◽  
Insured Individual ◽  
The Impact ◽  
Insurance Data ◽  
The Relationship

Background: We study the impact of suicide-exclusion periods, common in life insurance policies in Australia, on suicide and accidental death rates for life-insured individuals. If a life-insured individual dies by suicide during the period of suicide exclusion, commonly 13 months, the sum insured is not paid. Aims: We examine whether a suicide-exclusion period affects the timing of suicides. We also analyze whether accidental deaths are more prevalent during the suicide-exclusion period as life-insured individuals disguise their death by suicide. We assess the relationship between the insured sum and suicidal death rates. Methods: Crude and age-standardized rates of suicide, accidental death, and overall death, split by duration since the insured first bought their insurance policy, were computed. Results: There were significantly fewer suicides and no significant spike in the number of accidental deaths in the exclusion period for Australian life insurance data. More suicides, however, were detected for the first 2 years after the exclusion period. Higher insured sums are associated with higher rates of suicide. Conclusions: Adverse selection in Australian life insurance is exacerbated by including a suicide-exclusion period. Extension of the suicide-exclusion period to 3 years may prevent some “insurance-induced” suicides – a rationale for this conclusion is given.

Stage-based versus continuous models of spatial learning

1991 ◽  
Author(s):  
Joseph P. Magliano ◽  
Robert Cohen ◽  
Gary L. Allen ◽  
James R. Rodrigue
Keyword(s):  
Spatial Learning ◽  
Continuous Models

A Comparative Study of Public & Private Life Insurance

2011 ◽  
Vol 3 (1) ◽  
pp. 93-94
Author(s):  
Vikas Sharma ◽  
◽  
Dr. Sudhinder Singh Chowhan
Keyword(s):  
Comparative Study ◽  
Life Insurance ◽  
Private Life
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