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Bayesian Dynamic Factor Models - Department of Statistical Science ...

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0.5<br />

0.0<br />

0.5<br />

0.0<br />

GBP<br />

CAD<br />

0.5 GBP<br />

0.0<br />

0.4 CAD<br />

0.2<br />

0.0<br />

NT<br />

LT<br />

50 100<br />

50 100<br />

NT<br />

LT<br />

(a) Mean-target (m = 0.06%)<br />

2<br />

0<br />

−0.5<br />

50 100<br />

50 100<br />

0.5<br />

0.0<br />

1<br />

0<br />

0.3<br />

0.0<br />

−0.3<br />

EUR<br />

AUD<br />

50 100<br />

50 100<br />

(b) Target-free<br />

EUR<br />

AUD<br />

50 100<br />

50 100<br />

0.5<br />

0.0<br />

0<br />

−1<br />

0.5<br />

0.0<br />

0<br />

−1<br />

JPY<br />

CHF<br />

JPY<br />

CHF<br />

50 100<br />

50 100<br />

50 100<br />

50 100<br />

Figure 11: Trajectories <strong>of</strong> portfolio weights based on one-step-ahead forecasts <strong>of</strong> the LM-AF models<br />

for (a) the portfolio under the target return <strong>of</strong> m = 0.06% (upper), and (b) the target-free<br />

minimum-variance portfolio (lower).<br />

20

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