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104<br />

To obta<strong>in</strong> the estimates <strong>in</strong> the formal framework considered <strong>in</strong> this paper,<br />

reconstructed order book data are needed. The latter methodology thus uses richer<br />

data, which are, however, more difficult to obta<strong>in</strong>.<br />

But do the two different methodologies lead to the same conclusions? To<br />

address this question we compute the Spearman rank correlation between the<br />

standardized adverse selection components (τ) reported <strong>in</strong> Table 4 and the<br />

difference <strong>of</strong> effective and realized spread. The cross sectional correlation (us<strong>in</strong>g<br />

the 22 out <strong>of</strong> 30 stocks for which the model is not rejected at 1% significance level)<br />

is 0.95. The two different methodologies thus po<strong>in</strong>t <strong>in</strong> the same direction. This<br />

result <strong>in</strong>dicates the robustness <strong>of</strong> the estimation results <strong>of</strong> the formal model and also<br />

provides a theoretical justification to use the popular ad hoc method for the analysis<br />

<strong>of</strong> adverse selection effects <strong>in</strong> limit order book markets.<br />

5 Conclusion and outlook<br />

S. Frey, J. Grammig<br />

An <strong>in</strong>creas<strong>in</strong>g number <strong>of</strong> f<strong>in</strong>ancial assets trade <strong>in</strong> limit order markets. These<br />

markets can be characterized by the follow<strong>in</strong>g keywords: Transparency, anonymity<br />

and endogenous liquidity supply. They are transparent, because a more or less<br />

unobstructed view on the liquidity supply is possible and anonymous, because<br />

prior to a trade the identity <strong>of</strong> none <strong>of</strong> the agents participat<strong>in</strong>g <strong>in</strong> the transaction is<br />

revealed. Liquidity supply is endogenous, because typically there are no dedicated<br />

market makers responsible for quot<strong>in</strong>g bid and ask prices. The question how<br />

liquidity quality and price formation <strong>in</strong> such a trad<strong>in</strong>g design is affected by<br />

<strong>in</strong>formed order flow is a crucial one, both from a theoretical and a practical po<strong>in</strong>t <strong>of</strong><br />

view. Glosten (1994) has put forth a formal model that describes how an<br />

equilibrium order book emerges <strong>in</strong> the presence <strong>of</strong> potentially <strong>in</strong>formed order flow.<br />

Såndas (2001) has confronted the Glosten model with real world data and reported<br />

quite discourag<strong>in</strong>g results. His f<strong>in</strong>d<strong>in</strong>gs suggest that Glosten's model conta<strong>in</strong>s too<br />

many simplify<strong>in</strong>g assumptions <strong>in</strong> order to provide a valid description <strong>of</strong> the<br />

<strong>in</strong>tricate real world trad<strong>in</strong>g processes <strong>in</strong> limit order markets.<br />

This paper shows that the ability <strong>of</strong> Glosten's basic framework to expla<strong>in</strong> real<br />

world order book formation is greater than previously thought. We estimate the<br />

model us<strong>in</strong>g data produced by a DGP that closely corresponds to the Glosten's<br />

theoretical framework and confirm the previous f<strong>in</strong>d<strong>in</strong>g that the basel<strong>in</strong>e<br />

specification put forth by Såndas (2001) is generally rejected. However, relax<strong>in</strong>g<br />

the assumption about marg<strong>in</strong>al zero pr<strong>of</strong>it order book equilibrium <strong>in</strong> favor <strong>of</strong> a<br />

weaker equilibrium condition considerably improves the empirical performance.<br />

The equilibrium condition proposed <strong>in</strong> this paper does not assume that traders<br />

immediately cancel a marg<strong>in</strong>al order that shows non-positive expected pr<strong>of</strong>it. It<br />

also acknowledges the fact that competition between potential market makers<br />

will render the expected pr<strong>of</strong>it <strong>of</strong>fered by the whole book ultimately to zero<br />

(after account<strong>in</strong>g for opportunity costs). Employ<strong>in</strong>g the revised econometric<br />

methodology, formal specification tests now accept the model <strong>in</strong> the vast<br />

majority <strong>of</strong> cases at conventional significance levels. A comparison <strong>of</strong> implied<br />

and observed order book schedules shows that the model estimated on the<br />

revised set <strong>of</strong> moment conditions fits the data quite well. We conclude that<br />

Glosten’s theoretical framework can also be transferred <strong>in</strong>to a quite useful<br />

empirical model.

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