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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).
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a. Write the advantages of choosing a single purpose processor over a general purpose processor. b. List out the hardware units that must be there in the embedded systems. c.
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The winding of an electromagnet has an inductance of 3H and a resistance of 15?. When it is connected to a 120 V d.c. supply, Determine: (a) the steady state value of current f
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How control and monitoring has be done - Sensors gather information from application being monitored or controlled. - The data being gathered is frequently analogue in natur
Instruction size As we have seen already that each instruction has two parts Opcode ( Operation Code) Which tells the types of operation to be performed .
explain storage oscilloscope?
determine & sketch convolution y(n) of signal X(n)=an , -3 0 , elsewhere H(n)=1 , 0 0 , elsewhere
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