<i>ARIMA</i> Model in the Application of Shanghai and Shenzhen Stock Index

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"ARIMA Model in the Application of Shanghai and Shenzhen Stock Index"
written by Shichang Shen, Yue Shen,
published by Applied Mathematics, Vol.7 No.3, 2016

has been cited by the following article(s):

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[3]	Stock Index Pattern Discovery via Toeplitz Inverse Covariance-based Clustering
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[6]	Forecasting of demand using ARIMA model
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[7]	Towards building a hybrid model for predicting stock indexes
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[1]	Effective short-term forecasts of Saudi stock price trends using technical indicators and large-scale multivariate time series PeerJ Computer Science, 2023 DOI:10.7717/peerj-cs.1205

[2]	Development of ARIMA technique in determining the ocean climate prediction skills for pre-service teacher Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/1731/1/012072

[3]	Forecasting of demand using ARIMA model International Journal of Engineering Business Management, 2018 DOI:10.1177/1847979018808673

[4]	Towards building a hybrid model for predicting stock indexes 2017 IEEE International Conference on Big Data (Big Data), 2017 DOI:10.1109/BigData.2017.8258433

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