NO.PZ2023090401000050
问题如下:
Question 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 𝜎𝑛2 , 𝑟n-1 , and 𝜎n-1 represent the index variance on day n, return on day n-1, and volatility on day n-1, respectively. If the expected value of the return is constant over time, which combination of values for α and β would result in a stable GARCH (1,1) process?
选项:
A.
α = 0.073637 and β = 0.927363
B.
α = 0.075637 and β = 0.923363
C.
α = 0.084637 and β = 0.916363
D.
α = 0.086637 and β = 0.914363
解释:
Explanation:
B is correct. For a GARCH (1,1) process to be stable, the parameters α, β, and γ must be positive and sum to 1. Therefore, the sum of α and β needs to be less than 1.
A, C, and D are incorrect. In each of these cases, the sum of α and β is greater than 1.
Section: Valuation and Risk Models
Learning Objective:
Apply the GARCH (1,1) model to estimate volatility.
Reference: Global Association of Risk Professionals. Valuation and Risk Models. New York, NY: Pearson, 2022. Chapter 3. Measuring and Monitoring Volatility.
老师,这道题是印证您课上讲的“more parameter,more accurate”吗?那为什么这三个系数一定是正数,合计一定等于1呢?是如何推导的呢?或者说不这样的话,怎么证明return的均值是就不是constant呢