The slave trades out of Africa represent one of the most significant forced migration experiences in history. In this paper I illustrate their long-term consequences. I first consider the influence of the slave trade on the "sending" countries in Africa, with attention to their economic,...

We investigate a novel dataset of more than half a million 15 second transcribed audio snippets containing COVID-19 mentions from major US TV stations throughout 2020. Using the Latent Dirichlet Allocation, an unsupervised machine learning algorithm, we identify seven COVID-19 related topics...

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 paper investigates high-frequency (HF) trading in the U.S. Treasury market around macroeconomic news announcements. After identifying HF market and limit orders based on the speed of their placement alteration and cancellation deemed beyond manual ability, we use the introduction of the...

We explore the effects of physical and regulatory risks related to biodiversity loss on economic activity and asset values. We first develop a news-based measure of aggregate biodiversity risk and analyze how it varies over time. We also construct and publicly release several firm-level measures...

The slave trades out of Africa represent one of the most significant forced migration experiences in history. In this paper I illustrate their long-term consequences. I first consider the influence of the slave trade on the "sending" countries in Africa, with attention to their economic,...