Lecture on the first SFB/TR 15 meeting, Gummersbach, July, 18 - 20, 2004We 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...

We develop a model in which limit order traders possess volatility information. We show that in this case the size of the bid-ask spread is informative about future volatility. Moreover, if volatility information is in part private, we establish that (i) the size of the bid-ask spread and (ii)...

We analyse the effect of concealing limit order traders’ identities on market liquidity. We develop a model in which limit order traders have asymmetric information on the cost of limit order trading (which is determined by the exposure to informed trading). A thin limit order book signals to...

High-speed market connections and information processing improve the ability to seize trading opportunities, raising gains from trade. They also enable fast traders to process information before slow traders, generating adverse selection, and thus negative externalities. When investing in...

Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...