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Folks, Is there any implementation available in R for the simultaneous selection of lag order and rank of a nonstationary VAR as described in Chao & Phillips (1999): Model selection in partially nonstationary vector autoregressive processes with reduced rank structure, J. Econ. (91). Or any other systematic procedure for the consistent selection of lag order and cointegration rank? I

Hi All, a) Is it possible to estimate the strength of seasonality in timeseries data. Say I have monthly mean prices of an ten different assets. I decompose the data using stl() and obtain the seasonal parameter for each month. Is it possible to order the assets based on the strength of seasonality? b) which gives a better estimate on seasonality stl() or a robust linear model like

1. I have a R program in a file say "functions.R". I load the "functions.R" file the R using source("function.R") and then call functionsf1(), f2() etc. which are declared and defined within "function.R" file. I also need to load a couple of R libraries using library() before I can use f1(), f2() etc. My question is can I acheive all this (i.e. calling

Dear members, I estimated a vector error correction model (VECM) using the "ca.jo" function in package "urca". I need to simulate the estimated model using R. I am aware how to simulate a VAR(p) model. Since the VECM is in difference form, I can't modify the VAR simulation codes to VECM. May one help me in this regard please? Thanks Mamush [[alternative HTML version

This happened two or three weeks ago and it's happening again. Spammers are using Nabble to attack R-Help. The psts are signed radhi and the posts' titles are taken from previous posts and therefore seem authentic but all messages end with "click here". I suggest you don't. And don't rply to this "radhi" And again on a weekend. Rui Barradas

...;, "\":\"03-JAN-2018 16:00:00\""), format = "%d%b%Y%H%M%OS") [1] "2018-01-03 16:00:00 GMT" _____________________________________________________ Arun Kumar Saha, FRM QUANTITATIVE RISK AND HEDGE CONSULTING SPECIALIST LinkedIn: http://in.linkedin.com/in/ArunFRM Personal : http://WWW.ARUNSAHA.IN <http://WWW.ARUNSAHA.IN> _____________________________________________________ [[alternative HTML version deleted]]

HI everyone, I''m trying to assign colors to multiple lines in a graph. Problem is I don''t want to type in as many colors as there are lines....is there a way around this? In brief, I''m plotting the logratio for up to 60 samples and want a different color for each sample. Here is the code I''m using now.. Any help is greatly appreciated.. Best LT data <-

Hi, everyone, I currently run into a problem about DCC-Garch model. I use the package cc-garch and the function dcc.estimation. One of the output of this function is DCC matrix, which shows conditional correlation matrix at every time period you gives. However, I cannot figue out how the function calculate the conditional correlation matrix at the first time period, since there is no data to be

i am new to time series,whatever i know up till now,from that i have uploaded time series file & what to build arma model,but for that i want p & q values(orders) tell me how to calculate best p & q values to find best AIC values for model i am doing but giving error >bhavar<-read.table(file.choose()) #taking time series file > decompose(bhavar$V1) Error in