simGARCH {weakARMA} | R Documentation |
GARCH process
Description
Simulates a GARCH process which is an example of a weak white noise.
Usage
simGARCH(n, c, A, B = NULL, ninit = 100)
Arguments
n |
Number of observations. |
c |
Positive number. |
A |
Vector of ARCH coefficients >=0. |
B |
Vector of GARCH coefficients >=0. If |
ninit |
Length of 'burn-in' period. |
Value
Vector of size n
containing a nonlinear sequence \epsilon_t
such as
\epsilon_{t} = H_{t}^{1 / 2} \eta_{t}
where
H_{t} = c +
a_{1}\epsilon_{t - 1}^ {2}+...+a_{q}\epsilon_{t - q} ^{2} + b_{1}H_{t-1}+...+ b_{p}H_{t-p}
References
Francq C. and Zakoïan J.M., 2010, GARCH models: structure, statistical inference and financial applications
See Also
Examples
simGARCH(100, c = 1, A = 0.25)
simGARCH(100, c = 1, A = 0.1, B = 0.88)
[Package weakARMA version 1.0.3 Index]