cov2corr

This function takes an (<code>n x n</code>) covariance matrix and returns the associated (<code>n x n</code>) correlation matrix.

internal

Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2024) <https://grodriguezrondon.com/files/RodriguezRondon_Dufour_2024_MonteCarlo_LikelihoodRatioTest_MarkovSwitchingModels_20241015.pdf> that can be used to identify the number of regimes in Markov switching models.

Gabriel Rodriguez Rondon

MSTest

Hypothesis Testing for Markov Switching Models

Jean-Marie Dufour

cov2corr function

<dl><dt>cov_mat</dt>
<dd>A (<code>n x n</code>) covariance matrix.</dd></dl>

Arguments

Covariance to correlation matrix — cov2corr

<dl>

<dt>cov_mat</dt>
<dd>A (<code>n x n</code>) covariance matrix.</dd>

</dl>

cov2corr: Covariance to correlation matrix

Description

Usage

Value

Arguments