Happy App Happy Tip: The Return Predictability from Amusement Apps Downloads Around the World

91 Pages Posted: 15 Mar 2024 Last revised: 4 Apr 2025

See all articles by Tse-Chun Lin

Tse-Chun Lin

The University of Hong Kong - Faculty of Business and Economics

Yican Liu

HKU Business School, The University of Hong Kong

Fangzhou Lu

The University of Hong Kong - Department of Finance; Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: March 1, 2024

Abstract

As individual investors increasingly rely on smartphones for their daily lives, we construct a measure of real-time investor sentiment based on global amusement app downloads. We find that a one-standard-deviation increase in the last four-week amusement app downloads predicts a 47 bps increase in stock market returns in the next four weeks. We also observe a 31 bps reversal in another four weeks. Amusement app downloads are positively related to subsequent stock trading app downloads, suggesting that investor sentiment drives new stock market participation. Overall, we show that digital footprint in app downloads predicts global market returns via investor sentiment.

Keywords: Amusement Apps, Investor Sentiment, Behavioral Finance

JEL Classification: G12, G40

Suggested Citation

Lin, Tse-Chun and Liu, Yican and Lu, Fangzhou, Happy App Happy Tip: The Return Predictability from Amusement Apps Downloads Around the World (March 1, 2024). Available at SSRN: https://ssrn.com/abstract=4744745 or http://dx.doi.org/10.2139/ssrn.4744745

Tse-Chun Lin

The University of Hong Kong - Faculty of Business and Economics ( email )

Pokfulam Road
Hong Kong
China

Yican Liu

HKU Business School, The University of Hong Kong ( email )

Hong Kong
China

Fangzhou Lu (Contact Author)

The University of Hong Kong - Department of Finance ( email )

Pokfulam
Hong Kong

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

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

Paper statistics

Downloads
216
Abstract Views
727
Rank
300,772
PlumX Metrics