Dumb Money? Social Network Attention Herding, Sentiment, and Markets

46 Pages Posted: 18 Apr 2024

See all articles by Chengcheng Huang

Chengcheng Huang

York University, Schulich School of Business, Students

Pauline Shum Nolan

York University - Schulich School of Business

Abstract

WallStreetBets provides the perfect echo chamber to study retail investor attention herding and sentiment, and their impact on stock prices. We train a machine learning model to classify daily forum-wide sentiment and individual stock sentiment. We show that forum-wide sentiment is inversely related to the VIX. Our monthly Attention Herding Portfolio generates sizable alphas. When retail attention herds bullishly on a stock, the network spillover is large enough to impact retail trades, but unlike Barber et al. (2022), there is no reversal in stock returns. We also test the role of influencers and their role in the network.

Keywords: machine learning, Sentiment Analysis, Retail investor, Attention Herding, Social Network Spillover, Influencers

Suggested Citation

Huang, Chengcheng and Shum Nolan, Pauline, Dumb Money? Social Network Attention Herding, Sentiment, and Markets. Available at SSRN: https://ssrn.com/abstract=4798796 or http://dx.doi.org/10.2139/ssrn.4798796

Chengcheng Huang (Contact Author)

York University, Schulich School of Business, Students ( email )

North York, Ontario
Canada

Pauline Shum Nolan

York University - Schulich School of Business ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
181
Abstract Views
622
Rank
358,612
PlumX Metrics