Associative networks for the daily prediction of opening and closing values of stock indices
Redes asociativas para la predicción diaria de los valores de apertura y cierre de los índices bursátiles
DOI:
https://doi.org/10.37767/2468-9785(2023)004Palabras clave:
associative neural network, LSTM, time series, index, prices, red neuronal asociativa, series temporales, índice, preciosResumen
Abstract
This paper presents an associative neural network based on Long Short-Term Memory (LSTM) networks to predict the opening, minimum, maximum and closing prices of the Shanghai composite index, PetroChina Company Limited (PetroChina), and Zhongxing Telecommunications Equipment Corporation (ZTE). The data is transformed with time series techniques to render them stationary. Once good results are obtained in terms of the mean absolute percentage error (MAPE), the model is tested with the American Nasdaq Composite Index (IXIC). Similar works have been carried out, such as that of Ding & Qin (2020) where they predict the opening, minimum and maximum prices of an asset. This study goes a step further to predict the closing value following the proposed associative network methodology. Having the opening price and the closing price, it is possible to make investments to generate profitability based on the daily net change in value of the asset.
Resumen
Este trabajo presenta una red neuronal asociativa basada en redes LSTM (Long Short-Term Memory) para predecir los precios de apertura, mínimo, máximo y cierre del índice compuesto de Shanghai, PetroChina y Zhongxing Telecommunications Equipment Corporation (ZTE). Los datos son transformados con técnicas de series temporales para hacerlos estacionarios. Una vez obtenidos buenos resultados en términos del error porcentual absoluto medio (MAPE), el modelo es probado con el American Nasdaq Composite Index (IXIC). Trabajos similares han sido realizados, como el de Ding & Qin (2020), donde predicen los precios de apertura, mínimos y máximos de un activo. Este studio va un paso más adelante en la predicción del valor de cierre siguiendo la metodología de redes asociativas propuesta. Teniendo el precio de apertura y el precio de cierre, es posible realizar inversiones para generar rentabilidad en base al cambio neto diario en valor del activo.
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