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Question 1:
a) Explain what is a VAR giving an example both in the form of an equation and matrix. Discuss its benefits and limitations.
b) How can we estimate a VAR involving equations having a contemporaneous feedback term?
c) Distinguish between variance decomposition and impulse response functions.
Question 2:
(a) What are the two types of non-stationarity that exist and show how one of them can be made stationary?
(b) How do we test for a unit root?
(c) What does it mean when two variables are cointegrated?
(d) Using the Engle-Granger approach show how parameters can be estimated in cointegrated systems.
Problem: (a) Write down the equation for symmetric GARCH and clearly explain its components. (b) Explain the term ‘volatility clustering'. (c) How would you model leverag
effect on of multicollinearity.
how to remedial of multicollinearity??
PROOF THAT E(XU) DIFFERENT FROM ZERO.
You are considering a new line of consumer products. You expect revenues of $14 million in each of the next ten years, while expenses are half of revenues (all cash flows are assum
Question 1: a) Explain what is a VAR giving an example both in the form of an equation and matrix. Discuss its benefits and limitations. b) How can we estimate a VAR invol
if there is multicollinearity so why we can not estimate the value of parameters?
question number one
(a) Describe all tests that you need to undertake prior to working with time series data. (b) Consider the following regression result: Standard Errors: (6.7525)
exceptional supply
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