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Hi all, I am looking for study resources for (financial) time series? Hopefully I could find video lectures then it will reduce the learning curve. Thanks a lot! [[alternative HTML version deleted]]

Hi folks, I'm prepared building my own datafiles, simple file at start, for testing wondering how to process? Which software will be used, MySQL/MS-SQL/MS-Excel/Open Office-Calc etc? On searching I found r-cran-rmysql on Ubuntu repo. Further searching I found; RMySQL: R interface to the MySQL database http://cran.r-project.org/web/packages/RMySQL/index.html Whether install the above

Hi! I know that there is function in fBasics package for univariate Jarque-Bera test and a funtion for univariate Ljung-Box test in stats package. But I am wondering if there is a function somewhere to do the tests for multivariate time series? Thanks, John [[alternative HTML version deleted]]

A new version of RSQLite (0.8-4) is now available on CRAN. Highlights of this release: Version 0.8-4 - Fix a memory leak in bound parameter management and resolve a missing PROTECT bug that caused spurious crashes when performing many prepared queries. - There is now a fairly comprehensive example of using prepared queries in the man page for dbSendQuery-methods. - Upgrade to SQLite

A new version of RSQLite (0.8-4) is now available on CRAN. Highlights of this release: Version 0.8-4 - Fix a memory leak in bound parameter management and resolve a missing PROTECT bug that caused spurious crashes when performing many prepared queries. - There is now a fairly comprehensive example of using prepared queries in the man page for dbSendQuery-methods. - Upgrade to SQLite

Hello all, This is a request for help from somebody who has the Ox interfaces working in R. I am trying to get the Ox interfaces working for Arfima and Garch modelling. However, I am having several problems: 1. The link to download G at rch_v40 does not work. Does anybody have a copy to email to me please? 2. Various guides offer different instructions for installing Ox in the correct place

I am new to using R and would appreciate some advice on which books to start with to get up to speed on using R. My Background: 1-C# programmer. 2-Programmed directly using IMSL (Now Visual Numerics). 3- Used in past SPSS and Statistica. I put together a list but would like to pick the "best of" and avoid redundancy. Any suggestions on these books would be helpful (i.e. too much

Hi, I'm trying to work with TsayData in fSeries package. How can i fetch any time series data of this package. Please advice. Thanks, Sumanta Basak. Send instant messages to your online friends http://in.messenger.yahoo.com

Hi all R-users, I?m trying to assign colors on those p-value in my table output that fall above a certain critical value, let?s say a p-value >0.05. My table looks like this: Assets ADF-Level P-Value ADF-First D P-Value ADF-Second D P-Value [1,] Liabilities -2.3109 0.1988 -3.162 0.025 -6.0281

Hi, I was trying to repeat the estimation of threshold GARCH models from the book "Analysis of Financial Time Series" by Ruey S. Tsay, and I was succesfull, but I had to use "for" loop, which is quite slow. The loop is necessary, since you need to calculate recursive sequence. Is there a faster way to do this in R, without using loops? The model is such: r_t = \mu + \alpha_2

To whom it may concern, I am trying to maximize a log-likelihood function using optim. This is a simple problem with only 18 parameters. To conserve memory, I am using sparse matrices (SLAM) for some of the data matrices used in the computation of the likelihood. However, optim appears to convert the sparse matrix back to regular data format. This causes me to run out of memory as R tries to

Hello Following some standard textbooks on ARMA(1,1)-GARCH(1,1) (e.g. Ruey Tsay's Analysis of Financial Time Series), I try to write an R program to estimate the key parameters of an ARMA(1,1)-GARCH(1,1) model for Intel's stock returns. For some random reason, I cannot decipher what is wrong with my R program. The R package fGarch already gives me the answer, but my customized function

Hi there, I'm in desperate need to figure out how to solve this issue. I need to estimate a recursive model for a time series data of asset returns. The dependent variable is the asset return and then I have a set of k variables, a lagged value of the dependent variable (plus an intercept) as regressors. My sample period (monthly observations) starts on Jan 1972. What I need to do is the

Hi everyone- I have a dataset with multiple "pre" and "post" variables I want to compare. The variables are named "apple_pre" or "pre_banana" with the corresponding post variables named "apple_post" or "post_banana". The variables are in no particular order. apple_pre orange_pre orange_post pre_banana apple_post post_banana person_1

Hi all, Please recommend good books for the following three categories. (I am aim at finance, macroeconomics, trading and business applications). (1) statistical (financial) data analysis; (2) time series; (3) econometrics. More specifically, I am looking for the following two types of books: (1) Books that provide big pictures and intuitions and books that connect dots... For example, there

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

Hello, I am a new user of R. I am trying to use the packages fBasics and fExtremes when i am running the examples I get few error. Could someone tell me what is happenig? Thank you beforehand. from Fbasics packages: xmpfBasics() Error in file(file, "r") : unable to open connection In addition: Warning message: cannot open file '/usr/lib/R/library/fBasics/demoIndex'

Hi R-users, I have the following problem: I am trying to learn something about bayes methodology and started paying around bayesm package, but could not replicate the Conjunctive model's estimates as they appear in Rossi et al "Bayesian Statistics and Marketing", 2005, JWS, pages 264-265, Table CS4.4. I have downloaded in my working directory the documents from

Dear Carlos, please refrain from posting the same question umpteen times. Please consider that code is hard to read and people might not have the time to run your simulation etc. etc.. As I told you privately in response to your message on 18/1, > Re: generating correlated effects, I tried this only once, but I > didn't get it right. Simulations using this are, e.g., Hansen (2007)

Hi, All: FinTS version 0.2-7 is now available on CRAN. This version adds two new functions: * ArchTest to compute the Engle (1982) Lagrange multiplier test for conditional heteroscedasticity, discussed on pp. 101-102 of Tsay, with examples on those pages worked in the R script in "~R\library\FinTS\scripts\ch03.R", where "~R" is your local R installation directory.