An investor making use of satellite data on marine ports can, on average, receive an annualized return of 16.38%. The results indicate that the number of containers in ports can significantly predict stock index returns in 27 out of 33 countries at a daily frequency for the 2019–2021 period. Forecast combination over univariate predictive regression is used to generate return forecasts. The container coverage area in each port is identified from 83,672 satellite images via the U-Net method and used as a proxy for the number of containers. This paper forecasts stock returns using satellite-based information on shipping containers, which can capture economic activity in real-time. For this reason, investors are increasingly interested in seeking alternative data. Consequently, they often fail to forecast stock returns. Traditional economic data that are available to all investors are published with lags and suffer from the problem of frequent revisions. It does not store any personal data.Forecasting stock returns is challenging. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin.
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