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238 J. M. Rodríguez-Poo et al.<br />

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Fig. 3 Intradaily seasonal patterns (middle l<strong>in</strong>e) for the days <strong>of</strong> the week and 95% confidence<br />

bands (side l<strong>in</strong>es) for Disney volume durations. The straight l<strong>in</strong>e represents the mean <strong>of</strong> each<br />

curve<br />

where I(·) is the <strong>in</strong>dicator function and ⌊x⌋ is the <strong>in</strong>teger part <strong>of</strong> x. We use a quartic<br />

kernel with bandwidth 2.78sn −1/5 , where s is the sample standard deviation.<br />

Figures 2 and 3 show the <strong>in</strong>tradaily seasonality for each day <strong>of</strong> the week. They<br />

also <strong>in</strong>clude po<strong>in</strong>twise confidence bands (see Bosq (1998), Theorem 3.1, p. 70) for the<br />

different curves and, for comparison purposes, a straight l<strong>in</strong>e represent<strong>in</strong>g the mean<br />

<strong>of</strong> each curve. Although a more formal test is needed, the hypothesis <strong>of</strong> differences<br />

between the seasonal behavior over the days <strong>of</strong> the week is not supported. Confidence<br />

bands <strong>in</strong>crease through the day: Early <strong>in</strong> the morn<strong>in</strong>g, the bands are tighter than near<br />

the clos<strong>in</strong>g. This <strong>in</strong>dicates that the variance <strong>of</strong> the durations evolves through the day.<br />

Indeed, Fig. 4 presents roll<strong>in</strong>g means and standard deviations, <strong>in</strong> <strong>in</strong>tervals <strong>of</strong> half an<br />

hour, through the day. Each po<strong>in</strong>t represents the mean and standard deviation over half<br />

an hour. They show an <strong>in</strong>verted U shape, i.e., as the day goes on, the variance <strong>in</strong>creases<br />

(with the exception <strong>of</strong> the half hour 13:00–13:30), widen<strong>in</strong>g the confidence bands with a<br />

slight tightness near the clos<strong>in</strong>g. Incidentally, notice that for price durations the standard<br />

deviation is above the mean while it is the opposite for volume durations. This is due to<br />

the over and under dispersion, respectively.

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