crossqreg.max {quantilogram} | R Documentation |
Corss-Quantilogram up to a Given Lag Order
Description
The cross-quantilograms from 0 to a given lag order.
Usage
crossqreg.max(DATA1, DATA2, vecA, Kmax)
Arguments
DATA1 |
An input matrix (T x p1) |
DATA2 |
An input matrix (T x p2) |
vecA |
A pair of two probability values at which sample quantiles are estimated |
Kmax |
The maximum lag order (integer) |
Details
This function calculates the partial cross-quantilograms up to the lag order users specify.
Value
A vector of cross-quantilogram
Author(s)
Heejoon Han, Oliver Linton, Tatsushi Oka and Yoon-Jae Whang
References
Han, H., Linton, O., Oka, T., and Whang, Y. J. (2016). "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series." Journal of Econometrics, 193(1), 251-270.
[Package quantilogram version 2.2.1 Index]