| InformationAdjustedBeta {Trading} | R Documentation |
Information Adjusted Beta
Description
Calculates the Information-Adjusted Beta between the track records of two assets/strategies which covers for cases whereby the 'typical' linearity and Gaussian I.I.D assumptions do not hold. The normalized cross sample entropy has been utilized for the mutual information estimation.
Usage
InformationAdjustedBeta(x, y, m = 2, r = 0.2)
Arguments
x |
a vector containing the track record of the underlying asset/strategy (can be a data.table, data.frame, vector etc) |
y |
a vector containing the track record of the underlying asset/strategy (can be a data.table, data.frame, vector etc) |
m |
an integer value defining the embedding dimension for the sample entropy calculation, default value is 2 |
r |
a double value defining the tolerance for the sample entropy calculation, default value is 0.2 |
Value
The information adjusted Beta
Author(s)
Tasos Grivas <tasos@openriskcalculator.com>
References
https://github.com/devisechain/Devise/blob/master/yellow_paper.pdf
Examples
x = PerformanceAnalytics::edhec[,c("Short Selling")]
y = PerformanceAnalytics::edhec[,c("Convertible Arbitrage")]
Information_Adjusted_Beta = InformationAdjustedBeta = function(x, y, m=2, r=0.2)