Week 4 & 5 Flashcards

(35 cards)

1
Q

What is the idea of VECM models?

A
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2
Q

What are the mean, variance, autocovariance and autocorrelations of a AR(1) random walk process?

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3
Q

When is a process integrated with an order of 1? How can it be made stable? How can this be generalized?

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4
Q

When is differencing components in a time series process d times (i.e., where d is the number roots in the unit circle), not ideal?

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5
Q

What is the idea of a cointegrated process?

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6
Q

What is the idea of a cointegrated process?

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7
Q

Describe a general (simple) ECM model.

A
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8
Q

How to write a VECM model as a VAR model? What does this mean?

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9
Q

How to rewrite a (unstable) VAR(2) to a VECM model?

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10
Q

Why is cointegration important?

A
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11
Q

When is a VAR(p) process called cointegrated?

A
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12
Q

What are the other options for r (the rank of matrix Pi)?

A
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13
Q

What is the VECM representation? What are the parameters of a VAR process (using the variables of a VECM)?

A
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14
Q

How is a constant included in a VECM model?

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15
Q

How to interpret estimates of a VECM model?

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16
Q

What is a vector space?

17
Q

What is a vector subspace?

18
Q

What is the orthogonal complement?

19
Q

What is a projection?

20
Q

What is the Frisch-Waugh-Lovell theorem?

21
Q

Why is the Frisch-Waugh-Lovell theorem needed?

22
Q

Describe a VECM without deterministic terms.

I.e., what is the notation

23
Q

What is the VECM in stacked matrix notation?

24
Q

How can we estimate a VECM using LS? When and or why would we do this?

25
Do the two asymptotic properties hold with a VECM estimation? If they do, why and when?
26
What could be the advantage of ML estimation for a VECM? What are some of its additional assumptions?
27
What is the likelyhood function of an ML estimation of a VECM? | What do we maximize
28
How to concentrate Γ out of the likelyhood function? | Of VECM obv.
29
How to concentrate Σ\_u out of the likelyhood function? | Of VECM
30
How to concentrate out 𝛼 out of the likelyhood function? | Of VECM
31
How to maximize β of the likelyhood function? | Of the VECM part
32
What is the maximalized likelyhood function of a VECM model?
33
In short: What are the values of the variables of the maximized likelyhood function?
34
How to select the lag order for a VECM model?
35
How do you test for the cointegration rank? | VECM