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Asymmetries <strong>in</strong> bid and ask responses to <strong>in</strong>novations <strong>in</strong> the trad<strong>in</strong>g process 77<br />

Table 6 (cont<strong>in</strong>ued)<br />

Absolute IRF×100<br />

Buy/ask – buy/bid Diference p-value t-test Diference p-value t-test<br />

Mean 1.7480 0.0017* 2.3780 0.0111**<br />

Std. (1.5230) (2.9193)<br />

Sell/bid – sell/ask<br />

Mean 6.9870 0.0007* 49.1156 0.0024*<br />

Std. (2.7803) (25.8798)<br />

Buy/ask – sell/bid<br />

Mean 1.9127 0.0105** 11.0851 0.0099*<br />

Std. (2.3180) (13.2844)<br />

This 0 table summarizes 1 the estimation <strong>of</strong> the VEC model,<br />

1 0 AaB * AaB * at<br />

B 0 1 AbB * AbS * C bt<br />

B<br />

C<br />

@ 0 0 1 0 A ~x<br />

0 0 0 1<br />

B t<br />

~x S 0 1<br />

B C<br />

B C<br />

@ A<br />

t<br />

¼<br />

EC<br />

a L ð Þ<br />

EC<br />

b L<br />

0 1<br />

B ð ÞC<br />

B C<br />

@<br />

BðLÞ A<br />

SðLÞ st<br />

0<br />

B<br />

1 þ AL ð ÞB<br />

@<br />

0<br />

1<br />

AaaðLÞ 0 AaBðLÞ AaSðLÞ B 0 AbbðLÞ AbBðLÞ AbSðLÞ C<br />

strictions, AL ð Þ ¼ B<br />

C<br />

@ ABaðLÞ 0 ABBðLÞ ABSðLÞA 0 ASbðLÞ ASBðLÞ ASSðLÞ than sells <strong>in</strong> the NYSE but not <strong>in</strong> the SSE suggests that microstructure differences<br />

may be play<strong>in</strong>g a role. This is a possibility that deserves a more exhaustive analysis.<br />

1 Appendix I<br />

1.1 Derivation <strong>of</strong> the VEC model (3.7)<br />

From Eq. (3.2)<br />

1<br />

at 1<br />

bt 1<br />

~x B t 1<br />

~x S t 1<br />

a<br />

mL at ð mtÞ<br />

¼ Ax;tðLÞ 0 xt þ EC<br />

ð Þþ" a t :<br />

1<br />

C<br />

A þ<br />

a at 1 bt 1<br />

0<br />

B<br />

@<br />

ua t<br />

ub t<br />

u B t<br />

u S t<br />

1<br />

C<br />

Awith the re-<br />

The model is def<strong>in</strong>ed <strong>in</strong> 1-m<strong>in</strong>ute (Panel A) and 5-m<strong>in</strong>ute <strong>in</strong>tervals (Panel B), and truncated at 3<br />

lags. We use data on 11 NYSE-listed stocks from January to March 2000. The model is estimated<br />

by SURE. We report for each variable the cross-sectional average <strong>of</strong> the sum <strong>of</strong> all lags whenever<br />

the coefficients are statistically significant at the 1% level. We also provide the cross-sectional<br />

average R 2 for each equation <strong>in</strong> the system. We <strong>in</strong>clude the number <strong>of</strong> stocks for which the<br />

coefficient <strong>of</strong> the correspond<strong>in</strong>g variable is statistically positive/negative at the 1% level. F<strong>in</strong>ally,<br />

we compare (a) the impact <strong>of</strong> a unitary buyer-<strong>in</strong>itiated shock on the ask and bid quotes; (b) the<br />

impact <strong>of</strong> unitary seller-<strong>in</strong>itiated shock on the ask and bid quotes, and (c) the impact <strong>of</strong> a unitary<br />

buyer-<strong>in</strong>itiated shock on the ask quote with the impact <strong>of</strong> a unitary seller-<strong>in</strong>itiated shock on the bid<br />

quote. We report the differences <strong>in</strong> the absolute impulse-response functions (IRF) and the result <strong>of</strong><br />

a t-test on the null <strong>of</strong> equal IRFs aga<strong>in</strong>st the alternative <strong>of</strong> a strictly positive difference. The errorcorrection<br />

term is the bid-ask spread. The endogenous variables are the change <strong>in</strong> the ask quote<br />

(Δa t) and the bid quote (Δb t) <strong>in</strong> each time <strong>in</strong>terval, and trade-size <strong>in</strong>dicators for buys ex B t and<br />

for sells ex S t are computed as the accumulated volume <strong>of</strong> buyer-<strong>in</strong>itiated trades and seller<strong>in</strong>itiated<br />

trades, respectively, <strong>in</strong> each time <strong>in</strong>terval

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