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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 73<br />

Table 4 (cont<strong>in</strong>ued)<br />

Absolute IRF×100<br />

Buy/Ask vs. Sell/Bid Buy/Ask Sell/Bid Difference<br />

NYSE 1996 Mean 1.0279 0.9170 0.1108*<br />

Std. (0.3546) (0.3180) (0.1703)<br />

NYSE 2000 Mean 1.1401 0.9945 0.1456**<br />

Std. (0.8348) (0.6248) (0.2357)<br />

SSE 2000 Mean 0.2843 0.2412 0.0431<br />

Std. (0.2840) (0.2087) (0.1126)<br />

Total Mean 0.8174 0.7176 0.0998*<br />

Std. (0.6565) (0.5341) (0.1796)<br />

This 0 table reports statistical 1tests<br />

on the impulse–response functions (IRFs) <strong>of</strong> the VEC model,<br />

1 0 AaB;t AaB;t at<br />

B 0 1 AbB;t AbS;t C bt<br />

B<br />

C<br />

@ 0 0 1 0 A ex<br />

0 0 0 1<br />

B t<br />

ex 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 />

at 1<br />

bt 1<br />

1 þ AtðLÞ ex B t 1<br />

ex S 0 1<br />

B C<br />

B C<br />

@ A<br />

t 1<br />

þ<br />

ua t<br />

ub t<br />

uB t<br />

uS 0 1<br />

B C<br />

B C<br />

@ A<br />

t<br />

with<br />

0<br />

1<br />

AaaðLÞ 0 AaB;tðLÞ AaS;tðLÞ B 0 AbbðLÞ AbB;tðLÞ AbS;tðLÞ C<br />

the restrictions, AtðLÞ ¼ B<br />

C<br />

@ ABaðLÞ 0 ABB;tðLÞ ABS;tðLÞA 0 ASbðLÞ ASB;tðLÞ ASS;tðLÞ 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 use data on 11 NYSE-listed stocks from January to March 1996, 11 NYSE-listed<br />

stocks from January to March 2000, and 11 SSE stocks from July to September 2000. We report<br />

statistical tests <strong>of</strong> the null <strong>of</strong> equality <strong>of</strong> the absolute IRFs aga<strong>in</strong>st the alternative <strong>of</strong> a positive<br />

difference. We keep all the polynomials <strong>in</strong> the autoregressive matrix constant dur<strong>in</strong>g the<br />

simulation, even when they are time-variant due to exogenous variables. The error-correction<br />

term is the bid-ask spread; Δat (Δbt) is the change <strong>in</strong> the ask (bid) quote between two consecutive<br />

ð Þ, where Vt is the trade size <strong>in</strong> number <strong>of</strong> shares,<br />

trades; ex B t ¼ xB t log ðVtÞ, and ex S t ¼ xS t log Vt<br />

and xt B (xt S ) equals 1 for buys (sells) and zero otherwise. For midpo<strong>in</strong>t trades both variables<br />

equal zero<br />

*Statistically greater than zero at the 1% level<br />

**Statistically greater than zero at the 5% level<br />

***Statistically greater than zero at the 10% level<br />

The dynamics <strong>of</strong> ask and bid prices are characterized by two f<strong>in</strong>d<strong>in</strong>gs, robust<br />

across markets, trad<strong>in</strong>g periods, and model specifications. First, we show that these<br />

quotes do not follow symmetric patterns after trades. Ask and bid prices tend to be<br />

revised <strong>in</strong> the same direction but not by the same amount. Ask (bid) quotes are<br />

more sensible to buyer (seller) <strong>in</strong>itiated shocks than bid (ask) quotes. We evidence,<br />

however, that the likelihood <strong>of</strong> symmetric responses <strong>in</strong>creases with volatility. In<br />

addition, we show that asymmetries are less frequent <strong>in</strong> the NYSE after regional<br />

trades. In addition to the former <strong>in</strong>formation-motivated trade-related effect, we also<br />

observe a liquidity-motivated trade-related effect. Ask and bid quotes error correct<br />

to mutual deviations, which causes a strong mean reversion <strong>in</strong> the bid–ask spread.<br />

These two f<strong>in</strong>d<strong>in</strong>gs produce simultaneous but opposite effects <strong>in</strong> the dynamics <strong>of</strong><br />

ask and bid prices: <strong>in</strong>formation-<strong>in</strong>duced positive cross-serial correlation and<br />

liquidity-<strong>in</strong>duced negative cross-serial correlation.

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