ccm: Cross-Correlation Matrices

In MTS: All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models

Cross-Correlation Matrices

Description

Computes sample cross-correlation matrices of a multivariate time series, including simplified ccm matrix and p-value plot of Ljung-Box statistics.

Usage

ccm(x, lags = 12, level = FALSE, output = T)

Arguments

x	A matrix of vector time series, each column represents a series.
lags	The number of lags of CCM to be computed. Default is 12.
level	A logical switch. When level=T, numerical values of CCM is printed. Default is no printing of CCM.
output	A logical switch. If ouput=F, no output is given. Default is with output.

Details

The p-value of Ljung-Box statistics does not include any adjustment in degrees of freedom.

Value

ccm	Sample cross-correlation matrices
pvalue	p-values for each lag of CCM being a zero matrix

Author(s)

Ruey S. Tsay

References

Tsay (2014, Chapter 1). Multivariate Time Series Analysis with R and Financial Applications. John Wiley. Hoboken, NJ.

Examples

xt=matrix(rnorm(1500),500,3)
ccm(xt)
ccm(xt,lag=20)

MTS documentation built on April 11, 2022, 5:07 p.m.