320 VOLATILITY TRANSMISSION PATTERNS BETWEEN THE USA AND SPAIN10.050.000.050.100.150.200.250.3010 19 28 37 46 55
DaysA. A positive shock in the S&P500AVIRF S&P50064 73 82 91 100 10.050.000.050.100.150.200.250.3010 19 28 37 46 55
DaysB. A positive shock in the IBEX35AVIRF S&P50064 73 82 91 100C. A positive shock in the S&P50010.050.000.050.100.150.200.250.3010 19 28 37 46 55
DaysAVIRF IBEX3564 73 82 91 100D. A positive shock in the IBEX3510.050.000.050.100.150.200.250.3010 19 28 37 46 55
DaysAVIRF IBEX3564 73 82 91 100Figure 16.4AVIRF to positive unexpected shocks from the
VAR-asymmetric BEKK. Pre-September 11 period (dashed lines display
the 90% confidence interval)In general, the most appealing results are: (1) conditional variances are
more sensitive to negative than to positive shocks; (2) unexpected shocks in
S&P500 have more impact on the whole covariance matrix than unexpected
shocks in IBEX35; (3) IBEX35 variance is more sensitive to any shock than
S&P500 variance; (4) before September 11, there are no significant volatility
spillovers in any direction and, after the terrorist attack, there is unidi-
rectional variance causality from the S&P500 to the IBEX35; (4) generally,
significant shocks take a long time to die out; and (5) the IBEX35 volatil-
ity has an overshooting reaction to a negative shock in the S&P500 when
the whole sample is analyzed. This could be due to the high persistence of
the IBEX35 or to an overreaction in the Spanish market because, at 16:00,
Spanish investors will only have one and a half hours left to react before the
market closes at 17:30.
Therefore, these results add evidence in favor of the hypothesis of uni-
directional variance causality from the S&P500 to the IBEX35. The AVIRF