[1]Abu-Mostafa Y,Atiya A.Introduction to financial fore-casting[J].Applied Intelligence,1996,6(3):205-213.
[2]Chen Jing, He Guo-zhu, Yu Ping. Prediction of retail price index of Sichuan province based on ARIMA model[C]∥Proc of 2014 International Conference on Management and Engineering,2014:1.
[3]Zhang D,Zhou L.Discovering golden nuggets: Data mining in financial application[J].IEEE Transactions on Systems,Man,and Cybernetics,Part C: Applications and Reviews,2004,34(4):513-522.
[4]Ruiz E J,Hristidis V,Castillo C,et al.Correlating financial time series with micro-blogging activity[C]∥Proc of the 5th ACM International Conference on Web Search and Data Mining,2012:513-522.
[5]Ramos S B,Veiga H,Latoeiro P.Predictability of stock market activity using Google search queries[M]∥Statistics & Econometric Working Papers,2013:1.
[6]Schumaker R P,Chen H.A quantitative stock prediction system based on financial news[J].Information Processing & Management,2009,45(5): 571-583.
[7]Granger C,Joyeux R.An introduction to long-memory time series models and fractional differencing[J].Journal of Time Series Analysis,1980,1(1):15-29.
[8]Contreras J,Espinola R,Nogales F J,et al. ARIMA models to predict next-day electricity prices[J]. IEEE Power Engineering Review,2003, 18(3):1014-1020.
[9]Box G,Jenkins G.Time series analysis: Forecasting and control[M].New Jersey: Prentice Hall,1994.
[10]Makridakis S,Andersen A,Carbone R,et al.The accuracy of extrapolation (time series) methods: Results of a forecasting competition [J].Journal of Forecasting,1982,1(2):111-153.
[11]Zhang G.Time series forecasting using a hybrid ARIMA and neural network model[J].Neurocomputing,2003,50(1):159-175.
[12]Xu Xing-fa. Financial forecasting[M]. Beijing: University of Modern Administration,1985:1-10.(in Chinese)
[13]Ruiz E J,Hristidis V,Castillo C.Cor-relating financial time series with micro-Blogging activity[C]∥Proc of ACM International Conference on Web Search & Data Mining, 2012:513-522.
[14]Li Bin. Forecasting financial time series using linear predictive filters[J]. Imperial College London, 2013, 8(8):1-4.
[15]Soule G. Study of effectiveness of time series modeling (arima) in forecasting stock prices[J]. International Journal of Computer Science Engineering & Applica, 2014 (4):349-352.
[16]Leng Jin-song. Modelling and analysis on noisy financial time series [J].Journal of Computer and Communications,2014(2):64-69.
[17]Wang Cheng-guo, Deng Zhong-yuan, Chen Hai-wen, et al. Financial variety trend prediction technology based on ARIMA model[J]. Computer Technology and Development,2015,7(7):11-14.(in Chinese)
[18]Wang Rui. Comparison of different methods of variable selection in the determination of ARMA order[D].Jinan:Shandong University,2013.(in Chinese)
[19]Wang Chun. The effect of investor setiment on return and volatility of stock market-based on empirical study of net flow of open-end equity founds[J]. Chinese Journal of Management Science,2014, 22(9):49-56.(in Chinese)
[20]Zhou Sheng-chen,Shi Xun-zhi,Qu Wen-ting. Stock market time series prediction based on Weibo search and SVM[J]. Computer and Modernization, 2013, 1(4):22-26.(in Chinese)
[21]Li Yu-mei. Stock market trend forecast based on internet reviews[D]. Harbin:Harbin Institute of Technology,2012.(in Chinese)
[22]Wang Bao-hua. Financial forecasting method based on text mining technologies[D]. Harbin:Harbin Institute of Technology,2012.(in Chinese)
[23]Yu Pei-kun, Zhong Rui-jun. Individual investor sentiment can predict the market rate of return[J]. Nankai Business Review, 2009, 12(1):96-101.(in Chinese)
[24]Liu Fang, Dai Kui, Wang Zhi-ying, et al. Research on the technology of quantitative security evaluation based on fuzzy number arithmetic operation[J]. Fuzzy Systems and Mathematics,2004,18(4):51-54.
[25]Preis T, Stanley H E. Trend switching processes in finan-
cial markets[M]∥ Econophysics Approaches to Large-Scale Business Data and Financial Crisis. Tokyo:Springer Japan, 2010:7674-7678.
[26]Bollen J, Mao H, Zeng X J. Twitter mood predicts the stock market[J].Computer Science, 2010,2(1):1-8.
附中文参考文献:
[12]徐星发.金融预测学[M].北京: 北京现代管理大学,1985: 1-10.
[17]王成国,邓仲元,陈海文,等.基于ARIMA模型的金融品种走势预测技术[J].计算机技术与发展,2015,7(7):11-14.
[18]王锐.多种变量选择方法ARMA阶数中的比较[D].济南:山东大学,2013.
[19]王春.投资者情绪对股票市场收益和波动的影响—基于开放式股票型基金资金净流入的实证研究[J].中国管理科学,2014,22(9):49-56.
[20]周胜臣,施询之,瞿文婷,等.基于微博搜索和SVM的股市时间序列预测研究[J].计算机与现代化,2013(4): 22-26.
[21]李玉梅.基于互联网评论的股票市场趋势预测[D].哈尔滨:哈尔滨工业大学,2012.
[22]王保华.基于文本挖掘技术的金融预测方法研究[D].哈尔滨:哈尔滨工业大学,2012.
[23]余佩琨,钟瑞军.个人投资者情绪能预测市场收益率吗[J].南开管理评论,2009,12(1):96-101. |