Hi guys,
working with RMetrics/fOptions library I see there isn't a function to
compute iv on American Options so I've build this function to do the job:
library(fOptions)
impVolAmCall<-function(pmkPrice,Und,Strike,expTime,rInt,pb){
auxAmCall<-function(pVol,pmkPrice,pUnd,pStrike,pexpTime,prInt)
Massimo,
This stock has dividends, so you might have to use a different valuation model
for American valuation.
Some sort of discrete dividend model should work.
HTH,
-- David
-Original Message-
From: r-sig-finance-boun...@r-project.org
[mailto:r-sig-finance-boun...@r-project.org] On Be
Hi everyone,
Have you ever heard of any implementation in R of the theory developped by
Thomas Cover regarding "Universal Portfolios"? Any help would be greatly
appreciated.
Thank you.
Regards,
Sent using BlackBerry® from Orange
___
R-SIG-Finance@r-p
Thanks much David ,
the problem is that RMetrics/fOptions has only this valuation code:
RollGeskeWhaleyOptionRoll, Geske and Whaley Approximation,
BAWAmericanApproxOption Barone-Adesi and Whaley Approximation,
BSAmericanApproxOption Bjerksund and Stensland Approximation.
Onl
On 17 May 2011, at 11:36, msalese wrote:
> Hi guys,
> working with RMetrics/fOptions library I see there isn't a function to
> compute iv on American Options so I've build this function to do the job:
>
> library(fOptions)
>
> impVolAmCall<-function(pmkPrice,Und,Strike,expTime,rInt,pb){
> auxAm
Yes, I did start implementing a package that implements a number of log
optimal portfolios (or closely related ideas). I did somehow stop of
implementing all the algorithms I wanted to tackle, but Cover's algorithm is
done. Because it was and remains not in perfect shape, I never advertised
it on
Dear all,
The following codes is for a multi-factor rolling regression with rolling
window = 60:
> z<-read.table("C:/.../dataset.txt")
> library(zoo)
> mydata=zoo(z)
> coef=rollapply(mydata,width=60,function(x) coef(lm(y~f1+f2+f3+f4+f5,
data=as.data.frame(x))),by.column=FALSE,align="right")
The
Hi thanks first.
Brian,
I was confused reading Cover's paper but your explanation with centers of
gravity made me realise were i was wrong!
Marc,
I had a quick look on the site before you mentionned it but could not find any
code. Will definitely try again tomorrow.
If you have any recommandat
To the list...
--
Sent from my Android phone with K-9 Mail. Please excuse my brevity.
"Brian G. Peterson" wrote:
You could construct an implementation in R using PortfolioAnalytics, but its
not done for you.
The universal portfolio concept is an interesting one, but I've never seen it
as pra
Hi Lu Fan,
I think you should change the FUN function in your rollapply to something that
computes the coefficients and the stats you are interested in and returns the
concatenation of the results using as.numeric format.
Regards
Sent using BlackBerry® from Orange
-Original Message-
Fr
Hi Des Mazis,
Thank you for your reply. Yes, I am looking for that function too.
I tried to use summary(lm(y~f1+f2+f3+f4+f5, data=as.data.frame(x)) instead
of coef(lm(y~f1+f2+f3+f4+f5, data=as.data.frame(x)) , but unfortunately it
didn't work.
-Lu
On Tue, May 17, 2011 at 4:04 PM, des Mazis, Pi
Lu Fan,
You shoud write something like:
fct_computeCoeffAndStats<-function(zooObject)
{
Reg_lm = lm(Y~X,data=...)
Reg_coeff = Reg_lm$coefficients
Tstat = summary(Reg_lm)$tstat
#check names of the summary to find the right #"tstat" name to apply to
summary() i think it is #Pr<... But i cant remem
Des Mazis,
Thanks a lot. I appreciate your help.
I will try it.
-Lu
On Tue, May 17, 2011 at 4:31 PM, des Mazis, Pierre-Alexandre <
p.desma...@gmail.com> wrote:
> Lu Fan,
>
> You shoud write something like:
>
> fct_computeCoeffAndStats<-function(zooObject)
> {
> Reg_lm = lm(Y~X,data=...)
> Reg_c
That was for the structure of the code. The argument of the function
"zooObject" is the data cut by rollapply function and is an array you might
have to rename to make it work with lm and so on. If you still have question
tomorrow i will be able to give you a more exact answer.
Good luck
Sent u
Hey everyone
I was wondering if there is any library/framework in R that handles
multivariate cointegration, like one-variate is handled.
Thanks, Jeff
The information contained in this electronic message is ...{{dropped:21}}
___
R-SIG-Finance@r-proj
check out the 'ca.jo' function in the 'urca' package.
HTH
On 5/17/11 4:54 PM, Jeff Yan wrote:
> Hey everyone
>
>
> I was wondering if there is any library/framework in R that handles
> multivariate cointegration, like one-variate is handled.
>
> Thanks, Jeff
>
> The information contained in this
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