
Explanation:
For a GARCH(1,1) process to be stable, the parameters must satisfy the following conditions:
Let's verify each option:
Option A: α = 0.073637, β = 0.927363
Sum = 0.073637 + 0.927363 = 1.001000 > 1
❌ Not stable (sum > 1)
Option B: α = 0.075637, β = 0.923363
Sum = 0.075637 + 0.923363 = 0.999000 < 1
γ = 1 - 0.999000 = 0.001000 > 0
✅ Stable (sum < 1, γ > 0)
Option C: α = 0.084637, β = 0.916363
Sum = 0.084637 + 0.916363 = 1.001000 > 1
❌ Not stable (sum > 1)
Option D: α = 0.086637, β = 0.914363
Sum = 0.086637 + 0.914363 = 1.001000 > 1
❌ Not stable (sum > 1)
Only Option B satisfies the stability condition where α + β < 1, ensuring that γ = 1 - α - β > 0, and all parameters are positive.
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A risk analyst is estimating the variance of returns on a stock index for the next trading day. The analyst uses the following GARCH (1,1) model:
where , , and represent the index variance on day , return on day , and volatility on day , respectively. If the expected value of the return is constant over time, which combination of values for and would result in a stable GARCH (1,1) process?
A
and
B
and
C
and
D
and
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