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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 leverage effects in equation you mentioned in (a) and why do they manifest?
(d) How would you decide whether a time series data set requires GARCH modelling?
if there is multicollinearity so why we can not estimate the value of parameters?
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
Suppose that the aggregate demand curve in a particular year is given by the algebraic expression: Y = 3000 + 1000/P, where Y is the aggregate output and P is t
Regression Analysis
The following regression was estimated to explain the inflation rate in the USA. The data set contains annual observations from 1970 to 2010. Inft = 2500 + 50*Xt +
how do l get a co factor of a matrix
how to remedial of multicollinearity??
A bottling company has determined the number of machine breakdowns per month and their respective probabilities as given below: Number of Breakdowns Probability
In a study relating college grade point average to time spent in various activities, students are asked how many hours they spend each week in four activities: studying, sleeping,
Your firm will produce widgets for the next 10 years (starting at t=1). Annual revenue from selling widgets is $20,000. Production requires an initial outlay (at t=0) for machin
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