crossqreg.max.partial: Partial Corss-Quantilogram upto a given lag order

Description Usage Arguments Details Value Author(s) References

View source: R/crossqreg.max.partial.R

Description

The partial cross-quantilograms from 1 to a given lag order.

Usage

1
crossqreg.max.partial(DATA1, DATA2, vecA, Kmax)

Arguments

DATA1

An input matrix (T x p1)

DATA2

An input matrix (T x p2)

vecA

A vector of 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 and a vector of partial cross-quantilograms

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.


quantilogram documentation built on July 1, 2020, 10:26 p.m.