Tutorial-7-Problems

.pdf

School

The University of Hong Kong *

*We aren’t endorsed by this school

Course

3801

Subject

Statistics

Date

Nov 24, 2024

Type

pdf

Pages

2

Uploaded by KidNeutron12719

THE UNIVERSITY OF HONG KONG DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE STAT3801/3909 Advanced Life Contingencies Tutorial 7 Problems 1. Consider a policy with a term of n years issued to a life aged ( x ) . Premiums are payable continuously throughout the term at rate P per year while the life is healthy, an annuity benefit is payable continuously at rate B per year while the life is sick, and a lump sum, S , is payable immediately on death within the term. Recovery from sick to healthy is possible and the disability income insurance model is appropriate. We assume that the premium, the benefits and the force of interest, δ per year, are constants rather than functions of time. (a) Show that, for 0 < t < n , t V (0) = B ¯ a 01 x + t : n - t | + S ¯ A 02 x + t : n - t | - P ¯ a 00 x + t : n - t | and derive a similar expression for t V (1) . (b) Show that, for 0 < t < n , d dt t V (0) = δ t V (0) + P - μ 01 x + t ( t V (1) - t V (0) ) - μ 02 x + t ( S - t V (0) ) and d dt t V (1) = δ t V (1) - B - μ 10 x + t ( t V (0) - t V (1) ) - μ 12 x + t ( S - t V (1) ) 2. The mortality of ( x ) and ( y ) follows a common shock model with the following states: State 0 - both alive State 1 - only ( x ) alive State 2 - only ( y ) alive State 3 - both dead You are given: μ x + t = μ 02 x + t : y + t + μ 03 x + t : y + t = μ 13 x + t : y + t = g , a constant, for 0 t < 5 ; μ y + t = μ 01 x + t : y + t + μ 03 x + t : y + t = μ 23 x + t : y + t = h , a constant, for 0 t < 5 ; p x + t = 0 . 96 , for 0 t 4 ; p y + t = 0 . 97 , for 0 t 4 ; 1
μ 03 x + t : y + t = 0 . 01 , for 0 t 5 . Calculate the probability that ( x ) and ( y ) both survive 5 years. 3. The joint p.d.f. of T ( x ) and T ( y ) is given by f T ( x ) T ( y ) ( s, t ) = ( n - 1)( n - 2) (1 + s + t ) n , 0 < s, 0 < t, n > 2 Find (a) The joint d.f. of T ( x ) and T ( y ) . (b) The p.d.f, d.f. and μ ( x + s ) for the marginal distribution of T ( x ) . Write down the corresponding expressions for the marginal distribution of T ( y ) . (c) The covariance and correlation coefficients of T ( x ) and T ( y ) , given that n > 4 . 4. For the future lifetimes of ( x ) and ( y ) : With probability 0.4, T ( x ) = T ( y ) (i.e. deaths occur simultaneously). With probability 0.6, the joint density function is f T ( x ) T ( y ) ( s, t ) = 0 . 0005 , 0 < s < 40 , 0 < t < 50 . Calculate P ( T ( x ) < T ( y )) . 5. You are given: T ( x ) and T ( y ) are independent; The survival function for ( x ) follows l x = 100(95 - x ) , for 0 x 95 ; The survival function for ( y ) is based on a constant force of mortality μ y + t = μ , for t 0 ; n < 95 - x . Find an expression which calculates the probability that ( x ) dies within n years and also dies before ( y ) . 6. For independent lives (25) and (50) subject to the same mortality table, you are given that 25 p 25:50 = 0 . 2 and 15 p 25 = 0 . 9 . Calculate the probability that a person, aged 40 and subject to the same mortality table, will survive to age 75. 2
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help