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Stock market analysis : a review and taxonomy of prediction techniques
Shah, Dev; Isah, Haruna; Zulkernine, Farhana - In: International Journal of Financial Studies : open … 7 (2019) 2/26, pp. 1-22
Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that … stock market prediction methods. We then focus on some of the research achievements in stock analysis and prediction. We …
Persistent link: https://www.econbiz.de/10012038738
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Development of stock market trend prediction system using multiple regression
Asghar, Muhammad Zubair; Rahman, Fazal; Kundi, Fazal Masud - In: Computational and mathematical organization theory 25 (2019) 3, pp. 271-301
Persistent link: https://www.econbiz.de/10012098937
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Forecasting methods for safeguarding ASEAN-5 stock exchanges during extreme volatility
Chukiat Chaiboonsri; Prasert Chaitip - In: International journal of trade and global markets 10 (2017) 1, pp. 123-130
Persistent link: https://www.econbiz.de/10011722940
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Stock market index prediction using artificial neural network
Moghaddam, Amin Hedayati; Moghaddam, Moein Hedayati; … - In: Journal of economics, finance & administrative science 21 (2016) 41, pp. 89-93
to March 7) are selected as training dataset and the last 29 days are used for testing the model prediction ability …. Networks for NASDAQ index prediction for two type of input dataset (four prior days and nine prior days) were developed and …
Persistent link: https://www.econbiz.de/10011875195
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A new neural network approach for predicting the volatility of stock market
Koo, Eunho; Kim, Geonwoo - In: Computational economics 61 (2023) 4, pp. 1665-1679
Persistent link: https://www.econbiz.de/10014327101
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Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad; Hosseini, Soodeh - In: Computational economics 62 (2023) 1, pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
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The prediction of intraday stock market movements in developed & emerging markets using sentiment and emotions from Twitter
Greyling, Talita; Rossouw, Stephanie; Steyn, Dimitri H. W. - In: Finance India : the quarterly journal of Indian … 36 (2022) 3, pp. 907-939
Persistent link: https://www.econbiz.de/10013477540
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Stock price crashes in China : an artificial neural network approach
Wang, Le; Zou, Liping; Wu, Ji - In: Pacific accounting review 35 (2023) 4, pp. 645-669
Persistent link: https://www.econbiz.de/10014429780
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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
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Modelling and forecasting liquidity supply using semiparametric factor dynamics
Härdle, Wolfgang; Hautsch, Nikolaus; Mihoci, Andrija - In: Journal of empirical finance 19 (2012) 4, pp. 610-625
Persistent link: https://www.econbiz.de/10009615658