
Hi Saore

***Please always mark a copy to the R-help list, it may be helpfull to 
many, you have forgotten twice***
*** Do Reply to all with history ***
 :-) cheers




YOU ARE THE BEST :)

I have some problems understanding R, but R and I will be friends in the 
future hehe :)

I have another problem with investing in one of this stockfonds.
Lets say I would invest in the europe stockfonds on 2.5.2006 1000 dollar. 
What would be the 99%VaR/1 day under historical simulation? The same as 
above?
@@@ So what do you think, -2.86 number means Lets investigate

suppose you have invested 1000, one way to realize is 
100*ln(Tommorow/Todays) = -2.86 (out return) where Todays = 1000
hence Tommorow = 1000*exp(-2.86/100) = 971.8051 , therefore Loss = 1000 - 
971.8051 = 28.19489

I hope this would make your understanding much better and clear about VaR 
:-) 
HTH

KR,
Alin

2007/5/11, gyadav@ccilindia.co.in <gyadav@ccilindia.co.in>:

reply is inline 





Hello Gaurav,

The function:

> VaR(tstock[,2],alpha=0.01) # gives the same VaR as above with historical 
simulation
VaR 
-2.86 

but i tried this function for normal distribution: 

> VaR.norm (tstock[,2],p=0.99)$VaR
Error in VaR.norm(tstock[, 2], p = 0.99) : 
       Negative value in parameter 'ydat'
@@@ if you have seen the help manual then you mus have got that you dont 
need to give the retun series. 
R is trying to calucate the logarithm of a negative number which is why it 
is throwing you error. 
try this instead 
> XXX<-VaR.norm(stock$ESPA.STOCK.EUROPE,p=0.01) 
> XXX$VaR 
[1] -3.11079 
> 

I dont understand the way with the normal distribution :( Maybe you can 
help me a littble bit. 
Cheers :-)

KR,
Alin Soare

2007/5/11, gyadav@ccilindia.co.in <gyadav@ccilindia.co.in>: 

reply is inline 

-  Regards,

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Hello Mr. Gaurav Yadav,
Hi Soare, 
1. I want to calculate the 99%VaR/1 day for the stock fonds, after sorting 
the values the 5th or 6th value is it?
In Historical simulation it is the 5th value...... because it tells you to 
be more cautious that a higher loss 'may' be there, secondly VaR only 
shows the possibility and not the maximum loss which you can incur :-) 
cheers
2. How do I calculate it under normal distribution aproximation? 
Well there is also a normal method or variance - covariance method which 
assumes normal distribution :-) 
if you want to incorporate recency effect then you can also see boudhouks 
method 

try this  paper which will give you very good understanding of various 
methods of VaR 

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=51420#PaperDownload 




++++++++++++++++++
apply(tstock,2,function(x) VaR(x,alpha=0.01)) # are these the right VaR's
for the stockfonds?
@@@ you can yourself see it, you have around 579 observation and 1% of it 
mean 5.79th observation 
Thus if you become risk averse then you take the 5th smallest value and 
otherwise 6th value. 
So just sort the returns in ascending order and then see the 5th and the 
6th values 


> sorted_espa_stock_europe<-sort(tstock[,2]) 
> sorted_espa_stock_europe[5] 
[1] -2.86 
> sorted_espa_stock_europe[6] 
[1] -2.74 
> 

your code gives -2.86 thus you can get the rest :-) cheers 

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