panic04: PANIC (2004) Non-Stationarity Tests on Common and...
In Stevo15025/PANICr: PANIC Tests of Nonstationarity
panic04 R Documentation
PANIC (2004) Non-Stationarity Tests on Common and Idiosyncratic Components
Description
Performs the tests on the idiosyncratic and common component from PANIC (2004).
Usage
panic04(x, nfac, k1, criteria)
Arguments
x
An object of class xts with each column being a time series
nfac
An integer speciyfing the maximum number of factors allowed
while estimating the factor model.
k1
an integer that is the maximum lag allowed in the ADF test.
criteria
a character vector of length one with a value of either IC1, IC2, IC3, AIC1, BIC1, AIC3, BIC3, or eigen.
Choosing eigen makes the number of factors equal to the number of columns whose sum of eigenvalues is less than or equal to .5.
Value
pooladf A data frame containing the pooled tests for the demeaned data,
idiosyncratic component, and the cointegration test. The first row is Fisher's method applied to
the p values of the respective test. The second row is the correction from PANIC (2004) applied to
the first row.
Common A data frame of the test results on the common component
adff A data frame containing pooled demeaned critical values,
demeaned error term critical values, demeaned
and detrended critical values, R squared for principle component,
and the significance of the error components.
nfac An integer specifying the maximum number of factors allowed
while estimating the factor model.
k1 An integer that is the maximum lag allowed in the ADF test.
criteria A character vector with a value of either IC1, IC2, IC3, AIC1, BIC1, AIC3, BIC3, or eigen.
Choosing eigen makes the number of factors equal to the number of columns whose sum of eigenvalues is less than or equal to .5.
func A character vector representing which function was run
ic A numeric vector containing the number of components that were estimated
References
Bai, Jushan, and Serena Ng.
'A PANIC Attack on Unit Roots and Cointegration.'
Econometrica 72.4 (2004): 1127-1177. Print.
Stevo15025/PANICr documentation built on Sept. 7, 2024, 4:30 p.m.
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| panic04 | R Documentation |
PANIC (2004) Non-Stationarity Tests on Common and Idiosyncratic Components
Description
Performs the tests on the idiosyncratic and common component from PANIC (2004).
Usage
panic04(x, nfac, k1, criteria)
Arguments
x |
An object of class xts with each column being a time series |
nfac |
An integer speciyfing the maximum number of factors allowed while estimating the factor model. |
k1 |
an integer that is the maximum lag allowed in the ADF test. |
criteria |
a character vector of length one with a value of either IC1, IC2, IC3, AIC1, BIC1, AIC3, BIC3, or eigen. Choosing eigen makes the number of factors equal to the number of columns whose sum of eigenvalues is less than or equal to .5. |
Value
pooladf A data frame containing the pooled tests for the demeaned data, idiosyncratic component, and the cointegration test. The first row is Fisher's method applied to the p values of the respective test. The second row is the correction from PANIC (2004) applied to the first row.
Common A data frame of the test results on the common component
adff A data frame containing pooled demeaned critical values, demeaned error term critical values, demeaned and detrended critical values, R squared for principle component, and the significance of the error components.
nfac An integer specifying the maximum number of factors allowed while estimating the factor model.
k1 An integer that is the maximum lag allowed in the ADF test.
criteria A character vector with a value of either IC1, IC2, IC3, AIC1, BIC1, AIC3, BIC3, or eigen. Choosing eigen makes the number of factors equal to the number of columns whose sum of eigenvalues is less than or equal to .5.
func A character vector representing which function was run
ic A numeric vector containing the number of components that were estimated
References
Bai, Jushan, and Serena Ng. 'A PANIC Attack on Unit Roots and Cointegration.' Econometrica 72.4 (2004): 1127-1177. Print.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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