UIUC
Using days on which social media platform connectivity is exogenously interrupted, I measure the impact of social media on retail trading activity. On these ”outage” days there is an increase in retail trading volume of social-media discussed stocks. Retail sentiment, while normally positively predicting retail OIB, on outage days negatively predicts retail OIB. This is driven mostly by positive sentiment predicting selling. These outage days are associated with a drop in price which reverses over the next day. To explain the empirical findings, I extend Pedersen (2022) to include disruptions to social networks, showing that these findings are consistent with fanatical and rational beliefs spreading to na ̈ıve investors in a social network. These findings highlight the important role of social media in retail trader’s belief formation and the market consequences of this importance.
with Divij Kohli
Often times I find myself waiting on large Stata do files to run. In Python, I like to check the status of my code using a Telegram bot. It allows me to know imediately if a long running script has finsihed or hit an unexpected error. Stata does not easily have this fuctionality.
I wrote this program for Stata. It is easily called in your do file. It can send any string message and small files to your Telegram. You will need to make a bot and supply the API token from Telegram
To download
net install moopmsg, from("https://raw.githubusercontent.com/justin-mohr/moopmsg/main")
For more details on about moopmsg and its syntax
help moopmsg
I have found it quite helpful and hope you will as well! (Please email me if you encounter any issues)