Using R to analyse MAN AHL Trend

[This article was first published on Copula, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Let’s use the great PerformanceAnalytics package to get some insights on the risk profile of the MAN AHL Trend Fund. It’s a program with a long track record – I believe in the late 80′. The UCITS Fund NAV Data can be downloaded from the fund webpage as xls file- starting 2009.

First let’s import the data into R. I’m using a small function, to import .csv which returns an .xts object named ahl.

#Monthly NAV MAN AHL
  a=read.table(“ahl_trend.csv”,sep = “,”,dec = “,”)
  a$date = paste(substr(a$V1,1,2),substr(a$V1,4,5),substr(a$V1,7,10),sep=”-“)

next we would like to have the monthly returns

monthlyReturn(x, subset=NULL, type='arithmetic',
leading=TRUE, ...)

 which we store in retahl.


Next, I usually plot the chart.Drawdown to get a visual idea, if the product is designed for my risk appetite.


Annualized Return 0.0212
Annualized Std Dev 0.1246
Annualized Sharpe (Rf=0%) 0.1702
Semi Deviation 0.0254
Gain Deviation 0.0222
Loss Deviation 0.0222
Downside Deviation (MAR=10%) 0.0289
Downside Deviation (Rf=0%) 0.0241
Downside Deviation (0%) 0.0241
Maximum Drawdown 0.2478
Historical VaR (95%) -0.0521
Historical ES (95%) -0.0748
Modified VaR (95%) -0.0573
Modified ES (95%) -0.0730

To leave a comment for the author, please follow the link and comment on their blog: Copula. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)