We model a financial market where privately informed investors trade in a limit order book monitored by professional liquidity providers. Price competition between informed limit order submitters and professional market makers allows us to capture tradeoffs between informed limit and market...

The multilayer probability of informed trading (MPIN) model, developed by Ersan (2016), releases the assumption of single type of information events in the original PIN model of Easley et al. (1996). Identification of the number of layers in a dataset is applied through a layer detection...

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...

This paper studies the impact of public information on trading and market fragmentation in FTSE 100 stocks on the LSE and on Chi-X, the largest multilateral trading facility in Europe. We proxy daily public information through newswire messages which we di erentiate by their ex-ante sentiment....

I examine causality and efficiency in the Italian Treasury bond market, where cash trades take place on the domestic Mercato dei Titoli di Stato, while futures trading is based on the London International Financial Futures Exchange. I find evidence that causality in prices runs in both...

I examine causality and efficiency in the Italian Treasury bond market, where cash trades take place on the domestic Mercato dei Titoli di Stato, while futures trading is based on the London International Financial Futures Exchange. I find evidence that causality in prices runs in both...

In this paper, we develop a model in which overconfident market participants and rational speculators trade against trend-chasers. We show that the growth and the burst of a financial bubble stem from positive feedback trading. However, the presence of overconfident traders and the risk aversion...

We examine the effect of learning of uninformed traders in a dynamic limit order market with asymmetric and short-lived information. We show that the learning is effective and valuable with respect to information acquisition, forecasting and buy-sell decision accuracies, and profit opportunity...