We study the microstructure of the U.S. housing market using a novel data set comprising housing search and bargaining behavior for millions of interactions between sellers and buyers. We first establish a number of stylized facts, the most prominent being a nearly 50--50 split between houses...

We empirically examine on-exchange hidden liquidity in the context of informed trading, pricing efficiency, and trading costs. Using a number of proxies for informativeness and a number of different specifications, we find that when an on-exchange option to hide orders exists, traders prefer to...

In this research we show that 2021 became a year when crypto markets significantly adjusted behavioural patterns, showing an increased institutional influence. We have come to two key conclusions that might indicate significant changes in the cryptocurrency market microstructure.Firstly, in...

Obtaining a unique limit order dataset provided by NYSE, we find there exits significant commonality in the liquidity provided by the NYSE limit order book. We also examine how the commonality documented above can explain the commonality in bid-ask spread, and how this commonality in limit order...

This paper examines the distributional properties of cryptocurrency realized variation measures (RVM) and the predictability of RVM on future returns. We show the cryptocurrency volatility persistence and the importance of the asymmetry on volatility forecasting. Signed jumps variations...

We develop a microstructure model whose order ow is driven by a Cox-BESQ process. We derive important analytical properties of the Cox-BESQ process in order to explicit the stock price dynamics at different time scales, provide different parameter estimators and solve the optimal execution...

We document a sizable OTC discount in the interdealer market for German sovereign bonds where exchange and over-the-counter trading coexist: the vast majority of OTC prices are favorable compared to exchange quotes. This is a challenge for theories of OTC markets centered around...

We develop a new methodology to estimate the impact of a financial transaction tax (FTT) on financial market outcomes. In our sequential trading model, there are price-elastic noise and informed traders. We estimate the model through maximum likelihood for a sample of sixty New York Stock...