ccm function

Cross-Correlation Matrices

Cross-Correlation Matrices

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

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.

Returns

  • ccm: Sample cross-correlation matrices

  • pvalue: p-values for each lag of CCM being a zero matrix

References

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

Author(s)

Ruey S. Tsay

Examples

xt=matrix(rnorm(1500),500,3) ccm(xt) ccm(xt,lag=20)
  • Maintainer: Ruey S. Tsay
  • License: Artistic License 2.0
  • Last published: 2022-04-11

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