We study factors influencing individuals' decisions to purchase Citibank stock during the 1920s. Citibank stock had a very high price per share and was only an investment option for wealthy people. The willingness to own shares was encouraged by proximity to New York, but constraints related to...

Using granular data on the entire Brazilian securities lending market merged with all trades in the centralized stock exchange, we identify information leakage from short sellers. Our identification strategy explores trading execution mismatches between short sellers' selling activity in the...

We provide new theory and evidence on the role of consumption access in understanding the agglomeration of economic activity. We combine smartphone data that records user location every 5 minutes of the day with economic census data on the location of service-sector establishments to measure...

This paper develops mew robust inference procedures for analyzing the intraday return volatility patterns that constitute a focal point of much market microstructure theory. Our empirical analysis is motivated by the recent lifting of trading restrictions in the interbank foreign exchange (FX)...

It is a common view that private information in the foreign exchange market does not exist. We provide evidence against this view. The evidence comes from the introduction of trading in Tokyo over the lunch-hour. Lunch return variance doubles with the introduction of trading, which cannot be due...

In analyzing the dynamics of Tokyo housing price, we have compiled annual micro data sets from individual listings in a widely-circulated real estate advertising magazine. A data set compiled from "properties for investment" lists both asking (sales) prices and rents for the same properties....

We study how the arrival of macro-news affects the stock market's ability to incorporate the information in firm-level earnings announcements. Existing theories suggest that macro and firm-level earnings news are attention substitutes; macro-news announcements crowd out firm-level attention,...

We identify a group of "suspicious" firms that use stock splits--perhaps, along with other activities--to artificially inflate their share prices. Following the initiation of suspicious splits, share prices temporarily increase, and subsequently decline below their pre-split levels. Using...

We use stock exchange message data to quantify the negative aspect of high-frequency trading, known as "latency arbitrage." The key difference between message data and widely-familiar limit order book data is that message data contain attempts to trade or cancel that fail. This allows the...