GRS Test for Portfolio Efficiency, Its Statistical Power Analysis, and Optimal Significance Level Calculation


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Documentation for package ‘GRS.test’ version 1.2

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GRS.test-package GRS Test for Portfolio Efficiency, Its Statistical Power Analysis, and Optimal Significance Level Calculation
data Fama-French Data: 25 size-B/M portfolio and risk factors, obtained from French's library
GRS.MLtest GRS Test Statistic and p-value based on Maximum Likelihood Estimator for Covariance matrix
GRS.optimal Optimal Level of Significance for the GRS test: Normality Assumption
GRS.optimalboot Optimal Level of Significance for the GRS test: Bootstrapping
GRS.optimalbootweight Weighted Optimal Level of Significance for the GRS test: Bootstrapping
GRS.optimalweight Weighted Optimal Level of Significance for the GRS test: Normality Assumption
GRS.Power Statistical Power of the GRS test
GRS.Powerfunc Power functions for the GRS test
GRS.T Sample Size Selection for the GRS test
GRS.test GRS test and Model Estimation Results