I am new to R. I am using package PerformanceAnalytics to calculate Component VaR of portfolio.
If I use gaussian method, it returns contribution.
> VaR(edhec, p=.95, method="gaussian", portfolio_method="component")
no weights passed in, assuming equal weighted portfolio
$VaR
[,1]
[1,] 0.01193358
$contribution
Convertible Arbitrage CTA Global Distressed Securities Emerging Markets Equity Market Neutral Event Driven Fixed Income Arbitrage
0.0014400703 0.0003687009 0.0012961865 0.0032090406 0.0003479361 0.0013848605 0.0010051944
Global Macro Long/Short Equity Merger Arbitrage Relative Value Short Selling Funds of Funds
0.0011151866 0.0015860006 0.0004412756 0.0009265836 -0.0027498306 0.0015623733
$pct_contrib_VaR
Convertible Arbitrage CTA Global Distressed Securities Emerging Markets Equity Market Neutral Event Driven Fixed Income Arbitrage
0.12067381 0.03089608 0.10861675 0.26890849 0.02915606 0.11604738 0.08423244
Global Macro Long/Short Equity Merger Arbitrage Relative Value Short Selling Funds of Funds
0.09344947 0.13290235 0.03697764 0.07764507 -0.23042800 0.13092245
>
But If I use historical method it just returns a single portfolio level value
> VaR(edhec, p=.95, method="historical", portfolio_method="component")
no weights passed in, assuming equal weighted portfolio
[1] 0.01439231
>
Is this correct? Am I missing something?
EDIT
I want to calculate component VaR of each part using historical simulation method.
The 'historical' method is not a 'simulation' method. It is a measure of the realized historical loss quantile.
I have added historical contribution to
PerformanceAnaltytics
in v 1.4.3574 on R-Forge.Your example now produces:
It is available from SVN now, should be available in binary form 'soon', and will be included in the next release of
PerformanceAnalytics