With only a few months left on my current finance agreement, I decided to release some positive equity in my current vehicle and get something new. I decided I wanted to go down the roadster route, and after test driving the MX5 and the Abarth 124, I’ve decided on the latter. The dealership let me have the car all of today, and I fell in love with it – the record monza exhaust sounds incredible. I even I take delivery at the end of the month, I shall post some pictures then! Very excited indeed!
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Has anyone noticed this problem where the residuals are identical to the original data plus a (nonzero) constant?
a0 = 0.2
a1 = 0.5
b1 = 0.3
n = 10000
w = np.random.normal(size=n)
eps = np.zeros_like(w)
sigsq = np.zeros_like(w)
for i in range(1, n):
sigsq[i] = a0 + a1*(eps[i-1]**2) + b1*sigsq[i-1]
eps[i] = w[i] * np.sqrt(sigsq[i])
res = arch_model(eps).fit(update_freq=5)
eps – res.resid # This returns a constant vector
I ask because I noticed some obscure errors when installing Cython which is a prereq to the arch package. Thanks a lot.