public class VECMTransitory extends VECM
A transitory vector error correction model (VECM(p)) has the following specification:
ΔY_t = μ + Π * Y_{t-1} + Σ[Γ_i * ΔY_{t-i}] + ψ * D_t + ε_t, (i = 1, 2, ..., p-1),
where Y_s, μ and ε_s are n-dimensional vectors;
the impact matrix Π and the coefficients {Γ_i} of the lagged time series are (n * n) matrices;
D_t is an (m * 1) vector which contains all exogenous variables at time t (excl. the intercept term),
and its coefficients are represented by a (n * m) matrix ψ.
This class also provides a conversion method between a transitory VECM(p) and a VARX(p) model.
| Constructor and Description |
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VECMTransitory(Matrix pi,
Matrix[] gamma,
Matrix psi,
Matrix sigma)
Construct a zero-intercept (mu) transitory VECM(p) model.
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VECMTransitory(VARXModel varx) |
VECMTransitory(VECMTransitory that)
Copy constructor.
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VECMTransitory(Vector mu,
Matrix pi,
Matrix[] gamma,
Matrix psi,
Matrix sigma)
Construct a transitory VECM(p) model.
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| Modifier and Type | Method and Description |
|---|---|
static VECMTransitory |
fromVarx(VARXModel varx)
Construct a transitory VECM(p) from a VARX(p).
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public VECMTransitory(Vector mu, Matrix pi, Matrix[] gamma, Matrix psi, Matrix sigma)
mu - the intercept (constant) vectorpi - the impact matrixgamma - the AR coefficients on the lagged differences; null if p = 1psi - the coefficients of the deterministic terms (excluding the intercept term)sigma - the covariance matrix of white noisepublic VECMTransitory(Matrix pi, Matrix[] gamma, Matrix psi, Matrix sigma)
pi - the impact matrixgamma - the AR coefficients on the lagged differences; null if p = 1psi - the coefficients of the deterministic terms (excluding the intercept term)sigma - the covariance matrix of white noisepublic VECMTransitory(VARXModel varx)
public VECMTransitory(VECMTransitory that)
that - a transitory VECM modelpublic static VECMTransitory fromVarx(VARXModel varx)