stock index forecasting Latest Research Papers

Effectiveness of Stock Index Forecasting using ARIMA model: Evidence from New Zealand

10.1109/icac54203.2021.9671132 ◽

2021 ◽

Author(s):

Wajira Dassanayake ◽

Iman Ardekani ◽

Narmada Gamage ◽

Chandimal Jayawardena ◽

Hamid Sharifzadeh

Keyword(s):

New Zealand ◽

Arima Model ◽

Stock Index ◽

Model Evidence ◽

Stock Index Forecasting

Deep Nonlinear Ensemble Framework for Stock Index Forecasting and Uncertainty Analysis

Cognitive Computation ◽

10.1007/s12559-021-09961-3 ◽

2021 ◽

Author(s):

Jujie Wang ◽

Liu Feng ◽

Yang Li ◽

Junjie He ◽

Chunchen Feng

Keyword(s):

Uncertainty Analysis ◽

Stock Index ◽

Stock Index Forecasting

Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting

Information Sciences ◽

10.1016/j.ins.2020.09.031 ◽

2021 ◽

Vol 547 ◽

pp. 1066-1079

Author(s):

Yaoli Wang ◽

Lipo Wang ◽

Fangjun Yang ◽

Wenxia Di ◽

Qing Chang

Keyword(s):

Neural Networks ◽

Stock Index ◽

Elman Network ◽

Direct Input ◽

Stock Index Forecasting

Stock index forecasting: A new fuzzy time series forecasting method

Journal of Forecasting ◽

10.1002/for.2734 ◽

2020 ◽

Author(s):

Hao Wu ◽

Haiming Long ◽

Yue Wang ◽

Yanqi Wang

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

Stock Index ◽

Forecasting Method ◽

Stock Index Forecasting

MLP, CNN, LSTM and Hybrid SVM for Stock Index Forecasting Task to INDU and FTSE100

SSRN Electronic Journal ◽

10.2139/ssrn.3644034 ◽

2020 ◽

Author(s):

Xiangyu Zong

Keyword(s):

Stock Index ◽

Stock Index Forecasting

A Novel Single Valued Neutrosophic Hesitant Fuzzy Time Series Model: Applications in Indonesian and Argentinian Stock Index Forecasting

IEEE Access ◽

10.1109/access.2020.2982825 ◽

2020 ◽

Vol 8 ◽

pp. 60126-60141

Author(s):

Billy Tanuwijaya ◽

Ganeshsree Selvachandran ◽

Le Hoang Son ◽

Mohamed Abdel-Basset ◽

Hiep Xuan Huynh ◽

...

Keyword(s):

Time Series ◽

Time Series Model ◽

Fuzzy Time Series ◽

Stock Index ◽

Stock Index Forecasting

Stock Index Forecasting by Hidden Markov Models with Trends Recognition

2019 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata47090.2019.9006068 ◽

2019 ◽

Author(s):

Xiaoning CUI ◽

Wei SHANG ◽

Fuxin JIANG ◽

Shouyang WANG

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Stock Index ◽

Stock Index Forecasting

Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models

Lecture Notes in Computer Science - Artificial Intelligence XXXVI ◽

10.1007/978-3-030-34885-4_22 ◽

2019 ◽

pp. 283-292 ◽

Cited By ~ 1

Author(s):

Dhanya Jothimani ◽

Ayşe Başar

Keyword(s):

Machine Learning ◽

Time Series ◽

Stock Index ◽

Learning Models ◽

Time Series Decomposition ◽

Stock Index Forecasting ◽

Machine Learning Models

A Trend-based Stock Index Forecasting Model with Gated Recurrent Neural Network

2018 IEEE International Conference on Progress in Informatics and Computing (PIC) ◽

10.1109/pic.2018.8706267 ◽

2018 ◽

Cited By ~ 1

Author(s):

Yijiao Liu ◽

Xinghua Liu

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Stock Index ◽

Forecasting Model ◽

Stock Index Forecasting

Long-term stock index forecasting based on text mining of regulatory disclosures

Decision Support Systems ◽

10.1016/j.dss.2018.06.008 ◽

2018 ◽

Vol 112 ◽

pp. 88-97 ◽

Cited By ~ 24

Author(s):

Stefan Feuerriegel ◽

Julius Gordon

Keyword(s):

Text Mining ◽

Stock Index ◽

Stock Index Forecasting

stock index forecasting
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Effectiveness of Stock Index Forecasting using ARIMA model: Evidence from New Zealand

Deep Nonlinear Ensemble Framework for Stock Index Forecasting and Uncertainty Analysis

Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting

Stock index forecasting: A new fuzzy time series forecasting method

MLP, CNN, LSTM and Hybrid SVM for Stock Index Forecasting Task to INDU and FTSE100

A Novel Single Valued Neutrosophic Hesitant Fuzzy Time Series Model: Applications in Indonesian and Argentinian Stock Index Forecasting

Stock Index Forecasting by Hidden Markov Models with Trends Recognition

Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models

A Trend-based Stock Index Forecasting Model with Gated Recurrent Neural Network

Long-term stock index forecasting based on text mining of regulatory disclosures

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stock index forecastingRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Effectiveness of Stock Index Forecasting using ARIMA model: Evidence from New Zealand

Deep Nonlinear Ensemble Framework for Stock Index Forecasting and Uncertainty Analysis

Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting

Stock index forecasting: A new fuzzy time series forecasting method

MLP, CNN, LSTM and Hybrid SVM for Stock Index Forecasting Task to INDU and FTSE100

A Novel Single Valued Neutrosophic Hesitant Fuzzy Time Series Model: Applications in Indonesian and Argentinian Stock Index Forecasting

Stock Index Forecasting by Hidden Markov Models with Trends Recognition

Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models

A Trend-based Stock Index Forecasting Model with Gated Recurrent Neural Network

Long-term stock index forecasting based on text mining of regulatory disclosures

stock index forecasting
Recently Published Documents