IAI Actuarial Core Principles · Risk Modelling and Survival Analysis · Loss distributions, with and without risk sharing
Claim sizes are gamma with parameters α and λ. A sample has mean ₹800 and variance 320,000 (₹²). Using method of moments, what is the estimate of α?
For a gamma, mean = α/λ and variance = α/λ². The ratio 320,000/800 = 400 gives λ = 0.0025, so α = 800 × 0.0025 = 2.0. Squaring the mean over the variance gives the same result.
- A0.50Correct
- B2.00
- C0.25
- D1.25
- 0.80
Explanation
Mean = α/λ, variance = α/λ². So variance/mean = 1/λ = 400, giving λ = 0.0025. Then α = mean × λ = 800 × 0.0025 = 2.0. Option 0.50 results from inverting the ratio.
Did you get it right without looking?
One question tells you little. A timed set on Loss distributions, with and without risk sharing shows your real accuracy, how long you take and where you lose marks.
More Loss distributions, with and without risk sharing questions
- A general insurer's motor policy has an ordinary (non-franchise) deductible of Rs 20,000 per loss. A loss of Rs 55,000 occurs. Which stateme…
- A health insurer's claim X is uniform on (0, 100,000). Under a policy with an ordinary deductible of Rs 30,000, what is the expected payment…
- Which statement about an ordinary deductible d applied to ground-up loss X is correct?
- Claim amounts on a motor portfolio follow an exponential distribution with mean Rs 20,000. What is the probability that a claim exceeds Rs 5…
- Claims follow a Pareto distribution with parameters alpha = 4 and lambda = 6,000 (Rs). Claims inflate by 25% with no change in alpha. Which …
- Claim amounts X are uniformly distributed on (0, 100,000) rupees. An excess of loss treaty has retention Rs 60,000 with no upper limit. What…