Neuro-wavelet Model for price prediction in high-frequency data in the Mexican Stock market

With the availability of high frequency data and new techniques for the management of noise in signals, we revisit the question, can we predict financial asset prices? The present work proposes an algorithm for next-step log-return prediction. Data in frequencies from 1 to 15 minutes, for 25 high ca...

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Bibliographic Details
Main Authors: Montserrat Reyna Miranda, Ricardo Massa Roldán, Vicente Gómez Salcido
Format: Article
Language:English
Published: Instituto Mexicano de Ejecutivos de Finanzas 2021-09-01
Series:Revista Mexicana de Economía y Finanzas Nueva Época REMEF
Subjects:
Online Access:https://www.remef.org.mx/index.php/remef/article/view/570