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Using the ADL(1,1)regression Yt = β0 + β1Yt-1

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Using the ADL(1,1) regression Yt = β0 + β1Yt-1 + Using the ADL(1,1) regression Yt = β0 + β1Yt-1 +   Xt-1 + ut,the ARCH model for the regression error assumes that ut is normally distributed with mean zero and variance   ,where A)    = α0 + α1   + α2   + ...+ αp   . B)    =   + ...+   + φ1   + ...+ φq   . C)    = φ1   + ...+ φq   . D)    = α0 + α1   + ...+ αp   + φ1   + ...+ φq   . Xt-1 + ut,the ARCH model for the regression error assumes that ut is normally distributed with mean zero and variance Using the ADL(1,1) regression Yt = β0 + β1Yt-1 +   Xt-1 + ut,the ARCH model for the regression error assumes that ut is normally distributed with mean zero and variance   ,where A)    = α0 + α1   + α2   + ...+ αp   . B)    =   + ...+   + φ1   + ...+ φq   . C)    = φ1   + ...+ φq   . D)    = α0 + α1   + ...+ αp   + φ1   + ...+ φq   . ,where


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