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Forecasting stock price with artificial neural networks

Pradhan, Rudra Prakash - In: Praj̄nȧn : journal of social and management sciences 39 (2010/11) 4, pp. 263-286

Persistent link: https://www.econbiz.de/10009248045

Removing systematic patterns in returns in a financial market model by artificially intelligent traders

Witte, Björn-Christopher - 2011

method might be regarded as a quite accurate way of how traders identify patterns and forecast prices in reality. The …

Persistent link: https://www.econbiz.de/10009424774

Potential indicators for stock index prediction : a perspective

Mishra, ParthaSarathi; Dehuri, Satchidananda - In: International journal of electronic finance : IJEF 6 (2012) 2, pp. 157-183

Persistent link: https://www.econbiz.de/10009619497

Predictions, nonlinearities and portfolio choice : applications of artificial neural networks to German market indexes

Kruse, Friedrich Christian - 2012 - 1. Aufl

Persistent link: https://www.econbiz.de/10009628440

Deep learning neural network for the prediction of Asian Tiger stock markets

Yap, Kok-Leong; Lau, Wee-Yeap; Izlin Ismail - In: International journal of financial engineering 8 (2021) 4, pp. 1-35

Persistent link: https://www.econbiz.de/10012815105

Encoding of high-frequency order information and prediction of short-term stock price by deep learning

Tashiro, Daigo; Matsushima, Hiroyasu; Izumi, Kiyoshi; … - In: Quantitative finance 19 (2019) 9, pp. 1499-1506

Persistent link: https://www.econbiz.de/10012194801

Machine learning on stock price movement forecast : the sample of the Taiwan stock exchange

Huang, Chin-sheng; Liu, Yi-Sheng - In: International journal of economics and financial issues … 9 (2019) 2, pp. 189-201

Persistent link: https://www.econbiz.de/10012149403

ChatGPT Informed Graph Neural Network for Stock Movement Prediction

Chen, Zihan; Zheng, Lei (Nico); Lu, Cheng; Yuan, Jialu; … - 2023

ChatGPT has demonstrated remarkable capabilities across various natural language processing (NLP) tasks. However, its potential for inferring dynamic network structures from temporal textual data, specifically financial news, remains an unexplored frontier. In this research, we introduce a novel...

Persistent link: https://www.econbiz.de/10014362173

Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application

Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146

Purpose This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June...

Persistent link: https://www.econbiz.de/10014418102

Prediction of stock index of two-scale long short-term memory model based on multiscale nonlinear integration

Tang, Decai; Pan, Zhiwei; Bethel, Brandon J. - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 26 (2022) 5, pp. 723-735

Persistent link: https://www.econbiz.de/10013554949

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