Consider the following GARCH(1,1) model for the volatility of asset returns 𝑟 𝑡 : 𝑟 𝑡 = 𝛼 + 𝛽 𝑟 𝑡 − 1 + 𝜀 𝑡 𝜀 𝑡 = ℎ 𝑡 𝑢 𝑡 ℎ 𝑡 = 𝜇 + 𝛿 ℎ 𝑡 − 1 + 𝜙 𝜀 𝑡 − 1 2 𝔼 𝑡 − 1 ( 𝑢 𝑡 ) = 0 𝔼 𝑡 − 1 ( 𝑢 𝑡 2 ) = 1 The Maximum Likelihood estimates and standard errors of the parameters are in the following table. Estimates Std. error 𝛼 0.0911 0.1233 𝛽 0.9222 0.0655 𝜇 0.0112 0.1212 𝛿 0.9132 0.2231 𝜙 0.0611 0.0013 Using this information compute the test statistic for the null hypothesis 𝐻 0 : 𝛼 = 0.2 . (Please round the result to the 4th decimal place.) 单项选择题
A
− 0.8832 .
B
− 7.1631 .
C
0.7388 .
D
5.9923 .
E
There is not enough information to compute the value of the test statistic.
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类似问题
On Tuesday, you calculated the volatility of Wednesday as 5% using the GARCH model, which information will make the Thursday volatility become even higher?
When estimating the GARCH model, an intermediate step is to predict tomorrow's return.
When estimating the GARCH model, an intermediate step is to predict tomorrow's return.
On Tuesday, you calculated the volatility of Wednesday as 5% using the GARCH model, which information will make the Thursday volatility become even higher?
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