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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).
Magnetic materials
Critical Rate of Rise of Current The maximum rate of increase of current during on state which the SCR can tolerate is called the critical rate of rise of current f
Design 8:1 Mux for a given function, f=Σ (0, 1,5,7,9, 13)
Methods: A successful GIS operates according to a well-designed plan and business rules that are the models and operating practices unique to every organization. GIS gives i
Mention how do the AND & TEST instructions differ in their functionality AND: Changes the destination operand while performs the AND operation and. TEST: This ins
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A 2300-V, three-phase, wye-connected, round rotor synchronousmotor has a synchronous reactance of 3 per phase and an armature resistance of 0.25 per phase. The motor operates on
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