Simulate the model pt = 14.3 x 0.45 + 0.55pt1 + t Assume that t is a

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Simulate the model pt = 14.3 x 0.45 + 0.55pt–1 + εt Assume that εt is a nor-mally distributed random variable εt → N(0, σ2) and consider different values for the variance σ2 = 0.25, 1, 2. In the three cases, plot the resulting time series of prices and compute its autocorrelation functions. Compare your results with those of Figures 5.2 and 5.3. What is the effect of increasing the variance of the random shock?
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