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1) a) > muhat.vals VBLTX FMAGX SBUX 0.0058961 -0.0008077 0.0004890 > sigma2hat.vals VBLTX FMAGX SBUX 0.0008655 0.0045108 0.0107429 > sigmahat.vals VBLTX FMAGX SBUX 0.02942 0.06716 0.10365 > cov.mat VBLTX FMAGX SBUX VBLTX 0.0008655 0.0003675 -0.0004141 FMAGX 0.0003675 0.0045108 0.0042671 SBUX -0.0004141 0.0042671 0.0107429 CORR MATRIX VBLTX FMAGX SBUX VBLTX 1.0000 0.1860 -0.1358 FMAGX 0.1860 1.0000 0.6130 SBUX -0.1358 0.6130 1.0000 b) VBLTX FMAGX SBUX muhat.vals 0.005896 -0.0008077 0.000489 se.muhat 0.003798 0.0086707 0.013381 SE defect for the estimates ar large relative to muhat. SBUX, for example, warning computer error is sincerely big, way bigger than muhat. Magnitudes of type error tell that they argon poor estimates for true value. VBLTX FMAGX SBUX sigma2hat.vals 0.0008655 0.0045108 0.010743 se.sigma2hat 0.0001580 0.0008236 0.001961 banner error for sigma2 seem scummy comp ar to the sigma2hat. In fact, they ar really small. This tells us that estimates are quite precise. VBLTX FMAGX SBUX sigmahat.vals 0.029420 0.067163 0.103648 se.sigmahat 0.002686 0.006131 0.

009462 Same news report as that for sigma2. Standard errors are small relative to sigmahat.vals. envision at SBUX, SE is 0.009 when sigmahat is 0.103. This tells that estimates are quite precise. 0.000367468108649433 -0.000414078260106599 rhohat.vals 0.1860 -0.1358 se.rhohat 0.1246 0.1267 0.00426709684264575 rhohat.vals 0.61298 se.rhohat 0.08059 rhohat for VBLTX and FMAGX and for FMAGX and SBUX are pretty well(p) estimates, though one could moot against it. Rhohat for SBUX and VBLTX may give vox populi that it is not a approximate estimate,...If you want to get a full essay, order it on our website: Ordercustompaper.com

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