This paper examines how the implementation of a new dark order - Midpoint Extended Life Order on NASDAQ - impacts financial markets stability in terms of occurrences of mini-flash crashes in individual securities. We use high-frequency order book data and apply panel regression analysis to...

We train a machine learning method on a class of informed trades to develop a new measure of informed trading, the Informed Trading Intensity (``ITI''). ITI increases before earnings, M&A, and news announcements, and has implications for return reversal and asset pricing. ITI is effective...

Do equity prices efficiently reflect fundamental information as the Efficient Markets Hypothesis suggests? The author challenges a widely held acceptance by financial academicians of the EMH. In a frictionless environment, information acquisition and trading would be costless, transaction prices...

This paper examines the within-market and cross-market information content of order flow for stocks, corporate bonds and Treasury bonds in China. With daily-aggregated tick-by-tick data over three years on the Shanghai Security Exchange, we find negative cross-asset effects of order flow on...

We develop a financial market trading model in the tradition of Glosten and Milgrom (1985) that allows us to incorporate non-trivial volume. We observe that in this model price volatility is positively related to the trading volume and to the absolute value of the net order flow, i.e. the order...

We analyze commonality in informed trading across stocks, and how informed trading varies with the structural and trading characteristics of a firm. We thereby isolate the residual level of informed trading that is unrelated to commonality, trading characteristics, and structural...

This paper provides a survey of recent changes in the market microstructure of the 5 largest European Stock Exchanges. We first provide a brief statistical overview of European equity markets. Then we discuss how the introduction of the Investment Services Directive and the development of...

We analyze 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...

This paper checks the relevance of alternative spread decomposition models in an order-driven environment. Using intraday data from Euronext Brussels, we compute estimates of the bid-ask spread components provided by eight models. Our results support the hypothesis of no inventory holding costs...

This paper examines the differences in volume, volatility and liquidity in the underlying market between intervals when futures trade and intervals when there is no futures trading using high frequency proprietary data. We find that although the bid-ask spreads decrease, this is not due to a...