Prior research has established that the presence of designated market makers (DMMs) in an electronic open limit order book increases liquidity. We analyze whether the presence of additional DMMs results in a further improvement in liquidity. Using data from Deutsche Börse's Xetra system we find...

We model the execution of large uninformed sell orders in the presence of strategic competitive market makers. We solve for the unique symmetric equilibrium of the model in closed-form. Our equilibrium findings provide a rationale for the empirically observed patterns of (i) short orders...

As of April 23, 2001, the limit order book for stocks listed on Euronext Paris became anonymous. We study the effect of this switch to anonymity on market liquidity and the informational content of the limit order book. Our empirical analysis is based on a model of limit order trading in which...

In this paper we model the dynamic multivariate density of discrete bid and ask quote changes and their associated depths. We account for the contemporaneous relationship between these trading marks by exploiting the concept of copula functions. Thereby we show how to model truncations of the...

Die Betreuer am neuen Markt sollen die Effizienz des Handels durch Bereitstellung zusätzlicher Liquidität erhöhen. Die vorliegende Studie untersucht den Liquiditätsbeitrag der Betreuer in zwei aufeinanderfolgenden Jahren. Die Beteiligung der Betreuer am Umsatz des Marktes hat im beobachteten...

This dissertation is built around three separate papers that research several aspects of stock market liquidity. All three papers use the innovative XLM (Exchange Liquidity Measure) data to measure the liquidity. The first paper entitled Does Screen Trading Weather the Weather? A Note on Cloudy...

This paper analyzes liquidity in an order driven market. We only investigate the best limits in the limit order book, but also take into account the book behind these inside prices. When subsequent prices are close to the best ones and depth at them is substantial, larger orders can be executed...

Algorithmic trading has sharply increased over the past decade. Equity market liquidity has improved as well. Are the two trends related? For a recent five-year panel of New York Stock Exchange (NYSE) stocks, we use a normalized measure of electronic message traffic (order submissions,...

Lecture on the first SFB/TR 15 meeting, Gummersbach, July, 18 - 20, 2004: We develop a model of limit order trading in which some traders have better information on future price volatility. As limit orders have option-like features, this information is valuable for limit order traders. We solve...

This paper investigates resiliency to provide a dynamic perspective on liquidity. We define resiliency as the rate of mean reversion in liquidity. Resiliency increases with the proportion of patient traders, decreases with order arrival rate, and increases with tick size; providing strong support...