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We develop a model of limit order trading in which some traders have better information on future price volatility. As … visible. In either design, a large (resp. small) spread signals that informed limit order traders expect volatility to be high … significantly. Consistent with our model, we also find that the size of the spread is a predictor of future price volatility and …
Persistent link: https://www.econbiz.de/10010361995
dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash … that the presence of high-frequency trading increases market volatility and plays a fundamental role in the generation of …
Persistent link: https://www.econbiz.de/10010243948
Speeding up the exchange does not necessarily improve liquidity. The price quotes of high-frequency market makers are more likely to meet speculative high-frequency "bandits", thus less likely to meet liquidity traders. The bid-ask spread is raised in response. The recursive dynamic model...
Persistent link: https://www.econbiz.de/10010384388
We show that the excessive use of hidden orders causes artificial price pressures and abnormal asset returns. Using a simple game-theoretical setting, we demonstrate that this effect naturally arises from mis-coordination in trading schedules between traders, when suppliers of liquidity do not...
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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,...
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