similar to: fSeries

Hi all, I post it on both r-help and r-finance since I don't know where is most appropriate for this topic. Sorry if it bothers you. I did garch fitting on S&P500 monthly returns with garchFit from fSeries. I got same coefficients from all cond.dist except normal. I thought that is probabaly usual for the data. But when I play with it, I got another question. I plot skew normal with

I used garchFit function to fit 1600 observations of EURO/USD 2-day returns in GARCH(1,1) model. As part of the summary I got warning message: NaNs produced in: sqrt(diag(fit$cvar)) And didn't get any estimates for 3 params' std.error, t value or probability: Error Analysis: Estimate Std. Error t value Pr(>|t|) mu -0.004827 0.020141 -0.240 0.811 ar1 0.010311

Dear R People: I'm trying to use the garchFit function from the library(fSeries) However, R freezes every time that I use it. Is anyone else having this problem, please? Thanks in advance! R Version 2.2.1 Windows. Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: hodgess at gator.uhd.edu

Good morning everyone, I use for the first time the package fSeries and i try to run the example given by Diethelm Würtz. But when i run its example which is the following # # Example: # Model a GARCH time series process # # Description: # PART I: Estimate GARCH models of the following type ARCH(2) # and GARCH(1,1) with normal conditional distribution functions. # PART II: Simulate

Dear R users, I need to estimate an ARCH(1,0) model with t-residuals. To do this I use garchFit function from fGarch library. However, I get the following error message: Error in.garchInitParameters (formula.mean = formula.mean, formula.var = formula.var, ): object "alpha" not found I tried to estimate this model with different series, but I always get this error message. For example,

Hello all, I am trying to use the "garchFit" function in the fSeries Package to fit a Garch(1,1) Model with t distribution. I am using the following codes. fit <- garchFit(~garch(1,1),data,cond.dist="dstd") fitted(fit) I was expecting the fitted(fit) would return the fitted volatility, but the result turns out to be a series of repeated same value. I tried to change the

Dear R-helper, I wish to implement the APARCH model as described in the fSeries documentation. But I get the following: >library(fSeries) [...] > ?aparchFit No documentation for 'aparchFit' in specified packages and libraries: you could try 'help.search("aparchFit")' > help.search("aparchFit") No help files found with alias or concept or

Where does the unsignedSub come from? On 2017-02-15 20:38, Ryan Taylor wrote: > Sorry, it should be: > > defm SUB16u_ : ABD_NonCommutative<"sub16u", unsignedSub, LOADRegs, > GPRRegs, DSTRegs, i16, i16, i16, uimm16, immZExt16x>; > > On Wed, Feb 15, 2017 at 2:37 PM, Ryan Taylor <ryta1203 at gmail.com> > wrote: > >> I see. If I put simm16 and

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I see. If I put simm16 and immSExt16x in place of uimm16 and immZExt16x respectively, the imm matches but it prints out -32768 (which is invalid for sub16u). We are using uimm16 not match unsigned but for PrintMethod, effectively uimm16 and simm16 are both Operand<i16>. I'm still unclear why simm16 matches and uimm16 does not. Here is the pattern if that helps at all. So just as a

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Hi I have a few problems with tail/head when applied to multiple time series. I'm not sure as whether I did not understand the function or whether it correspond to an unexpected behavior. When head(a,n) is applied on data.frame or matrix, it returns a data-frame or matrix with first n obs of *each* variable. When applied to a mts object, it returns first n obs of *first* variable only,

Dear list-reader, by running the following script: library(zoo) sessionInfo() search() packageDescription("zoo") data(EuStockMarkets) dax <- as.zoo(EuStockMarkets[1:10, "DAX"]) daxr <- diff(log(dax)) identical(as.vector(qnorm(daxr)), qnorm(coredata(daxr))) qqnorm(coredata(daxr)) qqnorm(daxr) qqnorm() produces an error: > qqnorm(daxr) Fehler in if (xi == xj) 0L

Hi useRs, I am trying to calculate the Sharpe ratio with "sharpe" of the library "tseries". The documentation requires the univariate time series to be a portfolio's cumulated returns. In this case, the example given data(EuStockMarkets) dax <- log(EuStockMarkets[,"FTSE"]) is however not the cumulated returns but rather the daily returns of the FTSE

Hello again! Is there a way to include a mean in the garch function in the library(tseries), please? I tried include.mean=T in the function statement but it didn't work thanks in advance! R Version 2.2.1 Windows Sincerely, Erin mailto: hodgess at gator.uhd.edu

Hi all, I was trying garchFIt() of fSeries to fit volatility of monthly log returns of S&P500. I tried residuals of normal, student t, skew normal, skew t. But all innovations except normal got exaxtly same coefficients, even if I changed their parameters of skew and shape. Is this correct for the data or something wrong? I am attaching the code, thank you. Muster #GARCH analysis of

It appears that it's impossible to duplicate a node in the dag. For example, there is some code: b = a * a; // a is a global int A LD node is generated for A and it goes into both Operand 0 and 1 of the MUL node. The issue is I'm trying to match a pattern of: set dstReg:$dstD (OpNode (srcAType (load addr32:$srcA)), (srcBType (load addr32:$srcB))) so basically a mem, mem, reg

Hi, Could somebody say if it is possible to compute APARCH-models with garchFit commands. I have earlier used aaa (garchOxFit) and now I try to use bbb (look below) aaa <- garchOxFit(formula.mean=~arma(1,0),formula.var=~aparch(1,1),series=nyk,cond.dist=c('gaussian')) bbb <- garchFit(formula=~arma(1,0)+aparch(1,1),data=nyk) aaa works well, but I need other characteristics of

Hi, I am attempting to fit a ARMA/GARCH regression model without success. ### ARIMA-GARCH model with regressor ### ### Time series data: A multivariate data set. cov.ts.dq = cov.ts[1:4,"dq1"][!is.na(cov.ts[,"dq1"])] cov.ts.day = ts.intersect(dq = diff(q.ts), day = lag(q.ts, -1)) ### The following R scripts work: (summary(no.day.fitr <- garchFit(dq ~ arma(0,3) +

Thanks for your reply. We are propagating sign info to tablegen currently using BinaryWithFlagsSDNode.Flags.hasNoSignedWrap atm. I imagine (I have not looked) they are printed according to instruction in AsmPrinter.cpp (pure speculation). I'm still confused as to why 0x7FFF is ok to match 16 bit int but not 0x8000? Thanks. On Wed, Feb 15, 2017 at 1:44 PM, Manuel Jacob <me at