Predicting prices of the US and G7 stock indices in uncertain times: Evidence from the application of a hybrid neural network

•We apply a hybrid artificial neural network (ANN) approach.•We predict the US and G7 stock index prices during 2017–2022 including the Covid-19 and Russia-Ukraine war uncertainty periods.•We explore the relationship between some initial input variables and the closing price of the US and G7 stock i...

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Vydané v:	Journal of behavioral and experimental economics Ročník 116; s. 102366
Hlavní autori:	Bouteska, Ahmed, Sharif, Taimur, Hajek, Petr, Abedin, Mohammad Zoynul
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.06.2025
Predmet:	Artificial neural network Forecasting S&P 500 Stock price Artificial neural network Stock price Forecasting S&P 500
ISSN:	2214-8043
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