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1) Use plot of the stock return and consider the Autocorrelation Function to determine the auto-regressive structure of the data and explain why you think the return is stationary.
2) Use the information in (1) to estimate a univariate auto-regressive (AR) model of the return series (at the minimum estimate an AR(1) or AR(2) model).
3) Save the residuals from the model in (1) and use their square to run an auxiliary regression to test for ARCH.
4) Re-estimate the time series model either correcting for ARCH (using the GLS method in the lectures) or by augmenting the model by one or two dummy variables to correct for non-normality (any large shocks in the stock return).
The synchronous speed of a wound-rotor induction motor is 900 r/min. Under a blocked-rotor condition, the input power to the motor is 45 kW at 193.6 A. The stator resistance per ph
The report should contain all of the information detailed below together with your analysis of the circuit and any conclusions. The report should contain the code for your simulati
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