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Material Type: Assignment; Class: Actuarial Risk Theory; Subject: Mathematics; University: University of Illinois - Urbana-Champaign; Term: Fall 2008;
Typology: Assignments
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Math 476 / 567 Prof. Rick Gorvett Actuarial Risk Theory Fall, 2008
Homework Assignment # 3 (max. points = 10) Due at the beginning of class on Thursday, September 18, 2008
You are encouraged to work on these problems in groups of no more than 3 or 4. However, each student must hand in her/his own answer sheet. Please show your work – enough to show that you understand how to do the problem – and circle your final answer. Full credit can only be given if the answer and approach are appropriate. Please provide answers to two decimal places. Note: When calculating a percentage, please provide answers either as a proportion to four decimal places (e.g., 0.xxxx), or as a percentage to two decimal places (e.g., xx.xx%).
(1) Grateful students arrive at a professor’s office, during his daily two-hour office hour period, at a Poisson rate of 12 per hour. Each student offers a box of cookies as a gift to the chubby but lovable fellow. The number of cookies in each student’s gift box follows a continuous uniform distribution, with between 0 and 4 cookies per box. Assume that the professor eats the cookies in each box immediately upon receipt (what did you expect? There’s nothing worse than a stale cookie…). The professor will explode (not a pretty sight, by the way) if he eats more than 60 cookies in one day. Approximate the probability that the professor will explode (due to cookie over-eating) on any given day during his office hours.
(2) Same problem as (1) above, the only difference being that each box contains either 0 cookies or 4 cookies, with equal probabilities. (By the way, those students disappointing the professor by having 0 cookies in their box will be dealt with most seriously…)
(3) An insurance company receives claims according to a Poisson process. The claims are of two types: auto liability (AL) with probability 0.75, and workers compensation (WC) with probability 0.25. For a given day, and given that the company receives at least four claims on that day, what is the probability that the company receives the second WC claim before it receives the third AL claim?
(4) Suppose that X follows an arithmetic Brownian motion process, according to the formula:
dX = 5 dt + 8 dz
If X (2) = 125, find a 95% confidence interval around X (5).
(5) Suppose that the price of a stock S follows a geometric Brownian motion process, according to the formula:
dS / S = 0.025 dt + 0.06 dz
If the price of the stock on October 1, 2008, is 80, find the probability that the price of the stock will be greater than 100 on April 1, 2011.
(6) Suppose that two stocks, A and B , have prices that each follow an arithmetic Brownian motion process – specifically:
dA = 2 dt + 3 dz dB = 4 dt + 4 dz
The current price of stock A is 50, and the current price of stock B is 45. Find the probability that, one year from now, the price of stock B is greater than the price of stock A.
(7) Suppose that a discrete Brownian motion process X has the following dynamics:
Δ X = 0.50(20- X ) Δ t + 3Δ z
where the X in the above equation is the value of the process at the beginning of the change period being calculated. Let X (0) = 15. Letting Δ t = one year, and Δ X = the one- year change in the process X , find X (4). Use Δ z values for years 1 through 4 of -0.50, +1.25, 0.00, and -0.75, respectively.
(8) Suppose that X follows an arithmetic Brownian motion process, according to the formula:
dX = 10 dt + 5 dz
If X (3) = 150, find the value K such that P[ X (5) > K ] = 0.025.
(9) Suppose you are considering the purchase of a binary option that will pay you either $ or $10,000 one year from now, depending upon the price of a share of stock S. You select the following model of the stock price over the next year:
dS = 8 dt + 10 dz
The current price of the stock is 100. The binary option will pay $10,000 only if S > 120 one year from now. The effective annual interest rate is 9%. Calculate the present value of the expected option payoff.
(10) Suppose that you are an actuary assigned to analyze the costs associated with a continuing care retirement community (CCRC), via a Markov chain approach. The CCRC has the following states: