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List: r-help
Subject: Re: [R] ADF test --time series
From: Jeff Newmiller <jdnewmil () dcn ! davis ! ca ! us>
Date: 2013-04-30 13:06:26
Message-ID: d4b5c8f1-a8e3-403d-ad48-c6f9d93d4d18 () email ! android ! com
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a) This looks like homework. The Posting Guide clearly indicates that this list is \
not for homework help.
b) This is a statistics theory question that happens to use R, not an R question that \
happens to be about statistics. Also off-topic per the Posting Guide... there are \
other forums for stats questions.
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Sent from my phone. Please excuse my brevity.
Preetam Pal <lordpreetam@gmail.com> wrote:
> Hi all,
>
> I was running the adf test in R.
>
>
> CODE 1:
>
> adf.test(data$LOSS)
>
> Augmented Dickey-Fuller Test
>
> data: data$LOSS
> Dickey-Fuller = -1.9864, Lag order = 2, p-value = 0.5775
> alternative hypothesis: stationary
>
>
> CODE 2:
> adf.test(diff(diff(data$LOSS)))
>
> Augmented Dickey-Fuller Test
>
> data: diff(diff(data$LOSS))
> Dickey-Fuller = -6.9287, Lag order = 2, p-value = 0.01
> alternative hypothesis: stationary
>
>
>
> Is my interpretation correct:
>
> The original data( in code 1) is not stationary
>
> the twice differenced data (in code 2) is *stationary* and the order of
> the
> corresponding ARMA(p,q) model are *p=2* (as lag order in the output is
> 2)
> and *q=0*;.i.e. the *AR coefficients for X(t-1) and X(t-2) are
> significant*,
> while those of X(t-3) onwards are insignificant.
>
>
> Appreciate your help.
> Thanks,
> Preetam
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