Chapter 9 Flashcards

1
Q

When are Monte Carlo simulations sometimes necessary, to analyze nonlinear econometric models?

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2
Q

What is the meaning of probabilistic analysis?

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3
Q

What are the four fundemental sources of forecasting uncertainty?

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4
Q

What is measurement uncertainty? Where does it arise from?

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5
Q

What is model uncertainty? How is often dealt with this source of error?

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6
Q

What is parameter uncertainty? How do we usually deal with it?

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7
Q

What is innovation uncertainty?

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8
Q

What is the definition of a point forecast and a forecasted distribution?

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9
Q

How do we usually do h-step-ahead forecasts of nonlinear models?

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10
Q

How can we do h-step-ahead forecasts for time varying parameter models?

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11
Q

What does Value at Risk (VaR) mean?

Conceptually

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12
Q

What is the mathematical definition of VaR?

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13
Q

What are Impulse Response Functions?

Conceptually

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14
Q

What is the mathematical definition of an Impulse Response Function?

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