Google trends as predictor of grain prices

This paper examines the predictive power of Google trends on the grain's futures price movement. The aim was to validate if an algorithmic trading system designed was profitable and able of beating the market. In the research was used data from soybean futures and corn futures, both contracts a...

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Bibliographic Details
Main Authors: Gómez Martínez Raúl, Orden-Cruz Carmen, Prado Román Camilo
Format: Article
Language:English
Published: Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt 2021-01-01
Series:Ekonomika Poljoprivrede (1979)
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/0352-3462/2021/0352-34622101203G.pdf