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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).
what is induced EMF & what is statically EMF explain in details.
1) Consider the magnetic circuit shown in the figure. Steady currents flow in the windings of N 1 and N 2 turns on the outside legs of the ferromagnetic core. The core has a
Q. Designing 100 line exchange using Uni-selector? Here three different designing methods for 100 line exchange are discussed: Design: Strowger switching system is designe
Operation of octal to binary encoder
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explain storage oscilloscope?
3-phase 120 0 Mode VSI In 1200 mode VSI each thyristor conducts for 1200. At a time only thyristor one form upper group and another form group will conduct. Only th
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