Narrow search
Showing 1 - 10 of 3,782
Cover Image
Forecasting of future stock prices using neural networks and genetic algorithms
Mitilineos, Stelios A.; Artikis, Panayiotis G. - In: International journal of decision sciences, risk and … 7 (2017) 1/2, pp. 2-25
Persistent link: https://www.econbiz.de/10011797297
Cover Image
Finanzmarktprognose mit neuronalen Netzen : Training mit Backpropagation und genetisch-evolutionären Verfahren
Hövel, Christoph A. - 2003 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001825887
Cover Image
An integrated system based on fuzzy genetic algorithm and neural networks for stock price forecasting : case study of price index of Tehran Stock Exchange
Abbassi, Noraddin Mousazadeh; Aghaei, Mohammad Ali; … - In: International journal of quality & reliability management 31 (2014) 3, pp. 281-292
Persistent link: https://www.econbiz.de/10010250048
Cover Image
Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav; Singh, Uday Pratap; Jain, Sanjeev - In: Computational economics 60 (2022) 3, pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
Cover Image
Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda
Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...
Persistent link: https://www.econbiz.de/10012795264
Cover Image
Forecasting the stock exchange of Thailand using data mining techniques
Kanokkarn Snae Namahoot; Viphasiri Jantasri - In: International journal of electronic finance : IJEF 10 (2021) 4, pp. 211-231
Persistent link: https://www.econbiz.de/10012798947
Cover Image
Indian stock market prediction using artificial neural networks on tick data
Selvamuthu, Dharmaraja; Kumar, Vineet; Mishra, Abhishek - In: Financial innovation : FIN 5 (2019) 16, pp. 1-12
.2%, 97.0% and 98.9% for LM, SCG and Bayesian Regularization respectively which is significantly poor in comparison with that …
Persistent link: https://www.econbiz.de/10012266638
Cover Image
A dynamic scenario-driven technique for stock price prediction and trading
Thesia, Yash; Oza, Vidhey; Thakkar, Priyank - In: Journal of forecasting 41 (2022) 3, pp. 653-674
Persistent link: https://www.econbiz.de/10013166175
Cover Image
Technical analysis forecasting and evaluation of stock markets : the probabilistic recovery neural network approach
Maniatopoulos, Andreas; Gazis, Alexandros; Mitianoudis, … - In: International journal of economics and business … 25 (2023) 1, pp. 64-100
Persistent link: https://www.econbiz.de/10014309021
Cover Image
Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489
Persistent link: https://www.econbiz.de/10014439728