A VaR question
Thanks Matifou for your reply. Yes I want to simulate VAR with those parameters. However here my problem is those parameters are estimated parameters not actual one. Therefore I dont think I can apply TVAR.simin() directly on those parameters. You see, ch equation for those estimated parameters doesnt give one unit root, which is the fundamental property for a co-integrated VAR DGP. Therefore I want to do some some tweaks so that I can get a revised parameter set from those estimated parameters such that ch. equation (based on revised parameters) gives exactly one unit root. Then I can use TVAR.simin() to generate data. Therefore my question is : How can I tweak those estimated parameters? Best,
matifou wrote:
Hi RON70 Not sure about what you want to do... So you want to simulate a VAR with those parameters? There is the function TVAR.simin package tsDyn that allow you to simulate a VAR, see: co<-matrix(c(0.985, 0.283, -1.714, 0.125, 1.100, -1.491,0.071, -0.089, 1.388), ncol=3, byrow=TRUE) library(tsDyn) TVAR.sim(B=cbind(co,co),nthresh=0, inc="none", lag=2) Hope this is what you wanted? MAT2009 RON70 a ?crit :
I think I should be more clear on what I would like to do. From that estimated model I would like to get a "Real" VAR DGP, perhaps by tweaking some of the coeficients. Which I would use to simulate artrificial data, for some study. If somebody shows me some lihgt on how I can achive that, I would be truly grateful. Best, RON70 wrote:
Hi all,
My problem seems to be bizzare, however I want to do like that. Here I
have estimated a VECM model from my dataset (seems not stationary) and
once I converted those into a VAR representation I have following
estimates :
A1; A2; A3; A4
V1 V2 V3
1 0.985 0.283 -1.714
2 0.125 1.100 -1.491
3 0.071 -0.089 1.388
V1 V2 V3
1 0.258 -0.493 1.459
2 0.252 -0.387 1.165
3 -0.057 0.076 -0.536
V1 V2 V3
1 0.332 -0.459 0.251
2 0.482 -0.686 0.313
3 0.112 -0.104 0.218
V1 V2 V3
1 -0.532 0.624 -0.006
2 -0.619 0.714 -0.044
3 -0.129 0.121 -0.069
Now I took them as an original DGP process and checked the solution of
it's ch. equation. I got following :
library(PolynomF)
z = polynom()
p11 <- 1 - A1[1,1]*z - A2[1,1]*z^2 - A3[1,1]*z^3 - A4[1,1]*z^4
p12 <- 0 - A1[1,2]*z - A2[1,2]*z^2 - A3[1,2]*z^3 - A4[1,2]*z^4
p13 <- 0 - A1[1,3]*z - A2[1,3]*z^2 - A3[1,3]*z^3 - A4[1,3]*z^4
p21 <- 0 - A1[2,1]*z - A2[2,1]*z^2 - A3[2,1]*z^3 - A4[2,1]*z^4
p22 <- 1 - A1[2,2]*z - A2[2,2]*z^2 - A3[2,2]*z^3 - A4[2,2]*z^4
p23 <- 0 - A1[2,3]*z - A2[2,3]*z^2 - A3[2,3]*z^3 - A4[2,3]*z^4
p31 <- 0 - A1[3,1]*z - A2[3,1]*z^2 - A3[3,1]*z^3 - A4[3,1]*z^4
p32 <- 0 - A1[3,2]*z - A2[3,2]*z^2 - A3[3,2]*z^3 - A4[3,2]*z^4
p33 <- 1 - A1[3,3]*z - A2[3,3]*z^2 - A3[3,3]*z^3 - A4[3,3]*z^4
p <- p11*(p22*p33 - p23*p32) - p12*(p21*p33 - p23*p31) + p13*(p21*p32 -
p22*p31)
abs(solve(p))
[1] 1.521516 2.102119 2.102119 4.912478 4.912478 1.000233 1.000233
1.502034 1.502034 1.228100 2.536582 5.342635
Now if I assume (upto a few significant digits) "1.000233 1.000233 "
both
equal to "1" then, I am actually getting two unit roots here. Therefore
I
am wondering how to tackle it as VAR is defined on max one unit root
process.
Am I missing anything? Can anyone please help me?
Best
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