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90<br />

comparability across stocks, we compute effective and realized spreads relative to<br />

the midquote prevail<strong>in</strong>g at the time <strong>of</strong> the trade. Analyz<strong>in</strong>g effective and realized<br />

spreads is a straightforward way to assess and compare transaction costs and<br />

adverse selection effects across stocks or trad<strong>in</strong>g venues. The realized spread can<br />

be viewed as a transaction costs measure that is purged <strong>of</strong> <strong>in</strong>formational effects<br />

while the difference <strong>of</strong> effective and realized spread (referred to as price impact) is<br />

a natural measure for the amount <strong>of</strong> <strong>in</strong>formational content <strong>of</strong> the order flow. 8<br />

Average effective spreads range from 0.04% to 0.13%. Realized spreads are<br />

considerably smaller. This implies that price impacts, computed as the difference<br />

between effective and realized spreads, are relatively large. In other words, a large<br />

fraction <strong>of</strong> the spread is due to <strong>in</strong>formational order flow. This is not an unexpected<br />

result. In an open automated auction market there is no justification for <strong>in</strong>ventory<br />

costs associated with market mak<strong>in</strong>g or monopolistic power <strong>of</strong> a market maker, the<br />

other factors that may expla<strong>in</strong> the spread. Furthermore, order submission fees, i.e.<br />

operational costs, are very small.<br />

Table 1 shows that there is a considerable variation <strong>of</strong> price impacts, market<br />

capitalization and trad<strong>in</strong>g activity across stocks. The Spearman rank correlation<br />

between market capitalization and price impacts is −0.88 (p-value

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