Similar Search Results

Forecasting Nigerian stock market returns using ARIMA and artificial neural network models

Isenahd, Godknows M.; Olubusoye, Olusanya E. - In: CBN journal of applied statistics 5 (2014) 2, pp. 25-48

The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock … the artificial neural network based models outperformed the ARIMA based model in forecasting future developments of the … can be used as predictors for forecasting future values of the stock market returns given that the returns has memory of …

Persistent link: https://www.econbiz.de/10011488820

Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models

Kumar, Manish; Thenmozhi, M. - In: International journal of banking, accounting and finance 5 (2013/2014) 3, pp. 284-308

Persistent link: https://www.econbiz.de/10011474500

SENSEX price fluctuation forecasting comparison between global indices and companies making it

Sharma, Aviral; Bhatnagar, Vishal; Bansal, Abhay - In: Journal of global information management : an official … 26 (2018) 3, pp. 90-104

Persistent link: https://www.econbiz.de/10011926114

Optimised hybrid CNN bi-LSTM model for stock price forecasting

Patnaik, Deepti; Rao, N. V. Jagannadha; Padhiari, … - In: International journal of intelligent enterprise 11 (2024) 3, pp. 248-273

Persistent link: https://www.econbiz.de/10015065340

Optimised hybrid CNN-LSTM model for stock price prediction

Patnaik, Deepti; Rao, N. V. Jagannadha; Padhiari, … - In: International journal of management and decision making … 23 (2024) 4, pp. 438-460

Persistent link: https://www.econbiz.de/10015067129

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

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

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

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

markets. Discussion and evaluation: Most common techniques used in the forecasting of financial time series are Support Vector …

Persistent link: https://www.econbiz.de/10012266638

Forecasting the value effect of seasoned equity offering announcements : evidence from brics and comparative analysis to USA and European markets

Huang, Zhuqing; Nikolopoulos, Kostantinos - In: The journal of prediction markets 10 (2016) 2, pp. 22-46

Persistent link: https://www.econbiz.de/10011904909

1
2
3
4
5
6
7
8
9
10
Next
Last