Consider an AR(2) model: STEPS; -Write the equation of the AR(2) model - Determine the model based on the delay operator. - Find the expected value of the model - Find the variance of the model. - Find the covariances associated with 1,2, and s steps. - Find the associated correlation indices of 1,2, and s steps. - Assume that information is available up to time $h$ and the function that contains the accumulated information f(h, h-1,……), determine the forecasts and the error associated with 1,2, and s steps. - Assume that there is an initial value of the returns, denoted by $r_0$, and we have the AR(2) model at time rt, convert the AR(2) model into its equivalent MA(t)
Consider an AR(2) model: STEPS; -Write the equation of the AR(2) model - Determine the model based on the delay operator. - Find the expected value of the model - Find the variance of the model. - Find the covariances associated with 1,2, and s steps. - Find the associated correlation indices of 1,2, and s steps. - Assume that information is available up to time $h$ and the function that contains the accumulated information f(h, h-1,……), determine the forecasts and the error associated with 1,2, and s steps. - Assume that there is an initial value of the returns, denoted by $r_0$, and we have the AR(2) model at time rt, convert the AR(2) model into its equivalent MA(t)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider an AR(2) model:
STEPS;
-Write the equation of the AR(2) model
- Determine the model based on the delay operator.
- Find the
- Find the variance of the model.
- Find the
- Find the associated
- Assume that information is available up to time $h$ and the
- Assume that there is an initial value of the returns, denoted by $r_0$, and we have the AR(2) model at time rt, convert the AR(2) model into its equivalent MA(t)
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