Cointegration And Unit Roots Flashcards

1
Q

How do you test whether a process is stationary or not

A

Dickey-Fuller (DF) or KPSS

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2
Q

What happens to the AR(1) process when ø1 = 1

A

It becomes a random walk model: yt = yt-1 + et

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3
Q

Integration process I(1) for example

A

Yt needs to be differenced 1 time to become stationary it is integrated to the order 1

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4
Q

How to detect non-stationarity

A

Augmented Dickey-Fuller test
Phillips-Perron
KPSS

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5
Q

The Dickey-Fuller Hypothesis

A

H0: The series contains a unit root
H1: The series is stationary

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6
Q

when is ADF valid

A

If et in the test regression is considered white noise

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7
Q

What is expected of the error terms in the PP test

A

Serially correlated

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8
Q

KPSS test hypothesis

A

H0: yt is stationary
H1: yt is non-stationary

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9
Q

Difference between unit root test and stationary test

A

Unit root test H0: has a unit root
Stationary test h0: stationarity

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