qr_fourier_adf¶
Purpose¶
Computes the quantile Augmented Dickey-Fuller unit root test with flexible Fourier form structural breaks.
Format¶
-
qr_f_adf =
qr_fourier_adf(y, model, tau[, p, f, _print])¶ Parameters: - y (Nx1 matrix) – Time series data to be tested.
- model (Scalar) –
Model to be implemented.
1 Constant. 2 Constant and trend. - tau (Scalar) – The quantile (\(0 \lt \tau \lt 1\)).
- p (Scalar) – Optional, the number of lags used for \(\Delta y\). Default = 8.
- f (Scalar) – Optional, the Fourier frequency. Default = 3.
- _print (String) – Optional, print option “true” for printing results. Default = “true”.
Returns: qr_f_adf (Scalar) – Quantile, Fourier ADF test statistic.
Examples¶
library tspdlib;
// Load date file
y = loadd(getGAUSSHome() $+ "pkgs/tspdlib/examples/TSe.dat");
// Run model with constant
model = 1;
// Test for 70% percentile
tau = 0.7;
// Run test
qr_adf_stat = qr_fourier_adf(y, model, 0.7);
Source¶
qr_fourier_adf.src
See also
Functions func:qr_fourier_adf_bootstrap, quantileADF(), adf(), adf_1break(), adf_2breaks()