I use eight objective and systematic measures of the efficiency of the market for a stock. Based on the market microstructure models of Kyle and Obizhaeva (2016) and Bhattacharya (2019), I develop a six-equation (five- for non-Nasdaq stocks) structural model with market efficiency as a function...

The recent availability of large data sets covering single transactions on financial markets has created a new branch of econometrics which has opened up a new door of looking at the microstructure of financial markets and its dynamics. The specific nature of transaction data such as the...

We propose a model where investors can choose to acquire costly information that allows them to identify good assets and purchase them in opaque over the counter (OTC) markets. Uninformed investors trade on an organized exchange and only have access to an asset pool that has been (partially)...

This paper investigates high-frequency (HF) market and limit orders in the U.S. Treasury market around major macroeconomic news announcements. BrokerTec introduced i-Cross at the end of 2007 and we use this exogenous event as an instrument to analyze the impact of HF activities on liquidity and...

This study quantifies the dynamic interrelationship between the KOSPI index return and search query data derived from the Naver DataLab. The empirical estimation using a bivariate GARCH model reveals that negative contemporaneous correlations between the stock return and the search frequency...

I examine how financial markets interact with news about the COVID-19 pandemic. A twelve topic model optimizes the trade-off between number of topics and topic coherence. Using this model, I show that before mid-March 2020 markets react more to the same quantum of news when volatility is higher...