We identify different roles traders play using data with trader identities for all transactions in SENSEX-index stocks on the Bombay Stock Exchange from January 2005 to December 2011. Individual day traders (IDT) are identified as "noise traders", who play an important role in the market...

We provide evidence for a causal link between the US economy and the global financial cycle. Using intraday data, we show that US macroeconomic news releases have large and significant effects on global risky asset prices. Stock price indexes of 27 countries, the VIX, and commodity prices all...

There have been enormous differences of opinion between U.S. and Japanese institutional investors about the outlook for stock prices, differences across the two countries in average one-year-ahead forecasts for the Japanese stock market as great as twenty percentage points. In the past two years...

Using a semi-supervised topic model on 7,000,000 New York Times articles spanning 160 years, we test whether topics of media discourse predict future stock and bond market returns to test rational and behavioral hypotheses about market valuation of disaster risk. Focusing on media discourse...

Do investors anticipate that demands for racial equity will impact companies? We explore this question in the context of the Black Lives Matter (BLM) movement--the largest racially motivated protest movement in U.S. history--and its effect on the U.S. policing industry using a novel dataset on...

Prediction Markets, sometimes referred to as "information markets," "idea futures" or "event futures", are markets where participants trade contracts whose payoffs are tied to a future event, thereby yielding prices that can be interpreted as market-aggregated forecasts. This article summarizes...

We describe the landscape of taxation in the crypto markets, especially that concerning U.S. taxpayers, and examine how recent increases in tax scrutiny have led to changes in trading behavior by crypto traders. We predict under a simple theoretical framework and then empirically document that...

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...

We investigate how information processing frictions contribute to household suboptimal saving and investment behavior. We find that 60% of open accounts in college 529 savings plans are invested suboptimally due to high expenses and tax inefficiency. Such investments yield an expected loss of 9%...

This study analyzes information production and trading behavior of banks with lending relationships. We combine trade-by-trade supervisory data and credit-registry data to examine banks' proprietary trading in borrower stocks around a large number of corporate events. We find that relationship...