J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (6): 809-821.doi: 10.1007/s12204-021-2337-x
• Computing & Computer Technologies • Previous Articles Next Articles
ZHU Changsheng1 (朱昶胜),KANG Lianghe1.3* (康亮河),FENG Wenfang2 (冯文芳)
Accepted:
2020-03-13
Online:
2023-11-28
Published:
2023-12-04
CLC Number:
ZHU Changsheng1 (朱昶胜),KANG Lianghe1.3* (康亮河),FENG Wenfang2 (冯文芳). Predicting Stock Closing Price with Stock Network Public Opinion Based on AdaBoost-AAFSA-Elman Model and CEEMDAN Algorithm[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(6): 809-821.
[11] | RENAULT T. Intraday online investor sentiment and return patterns in the US stock market [J]. Journal of Banking & Finance, 2017, 84: 25-40. |
[1] | SAGGI M K, JAIN S. A survey towards an integration of big data analytics to big insights for valuecreation [J]. Information Processing & Management, 2018, 54(5): 758-790. |
[12] | XIONG T, BAO Y K, HU Z Y. Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting [J]. Knowledge-Based Systems, 2014, 55: 87-100. |
[2] | EL OUADGHIRI I, PEILLEX J. Public attention to “Islamic terrorism” and stock market returns [J]. Journal of Comparative Economics, 2018, 46(4): 936- 946. |
[13] | KAO L J, CHIU C C, LU C J, et al. A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting [J]. Decision Support Systems, 2013, 54(3): 1228-1244. |
[3] | CHAN J, LIN S, YU Y, et al. Analysts’ stock ownership and stock recommendations [J]. Journal of Accounting and Economics, 2018, 66(2/3): 476- 498. |
[14] | LI S W, CHEN T, WANG L, et al. Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index [J]. Tourism Management, 2018, 68: 116-126. |
[4] | DU P, WANG J Z, YANG W D, et al. Multi-step ahead forecasting in electrical power system using a hybrid forecasting system [J]. Renewable Energy, 2018, 122: 533-550. |
[15] | YOU D, CHEN F. Research on the prediction of network public opinion based on improved PSO and BP neural network [J]. Journal of Intelligence, 2016, 35(8): 156-161 (in Chinese). |
[5] | LIU J, MA F, ZHANG Y J. Forecasting the Chinese stock volatility across global stock markets [J]. Physica A: Statistical Mechanics and Its Applications, 2019, 525: 466-477.[6] DAI Z F, ZHOU H T, WEN F H, et al. Efficient predictability of stock return volatility: The role of stock market implied volatility [J]. The North American Journal of Economics and Finance, 2020, 52: 101174. |
[16] | DASH S R, MAITRA D. Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach [J]. Finance Research Letters, 2018, 26: 32-39. |
[7] | DRURY B, ROCHE M. A survey of the applications of text mining for agriculture [J]. Computers and Electronics in Agriculture, 2019, 163: 104864. |
[17] | XIAO C J, CHEN N C, HU C L, et al. Short and midterm sea surface temperature prediction using timeseries satellite data and LSTM-AdaBoost combination approach [J]. Remote Sensing of Environment, 2019, 233: 111358. |
[8] | ABOUNOORI E, TOUR M. Stock market interactions among Iran, USA, Turkey, and UAE [J]. Physica A: Statistical Mechanics and Its Applications, 2019, 524: 297-305. |
[18] | XU M J, SHANG P J, LIN A J. Cross-correlation analysis of stock markets using EMD and EEMD [J]. Physica A: Statistical Mechanics and Its Applications, 2016, 442: 82-90. |
[9] | ZHANG G, XU L, XUE Y. Model and forecast stock market behavior integrating investor sentiment analysis and transaction data [J]. Cluster Computing, 2017, 20(1): 789-803. |
[19] | SHARMA S S, THURAISAMY K, MADYAN M, et al. Evidence of price discovery on the Indonesian stock exchange [J]. Economic Modelling, 2019, 83: 2-7. |
[10] | BROWN G W, CLIFF M T. Investor sentiment and the near-term stock market [J]. Journal of Empirical Finance, 2004, 11(1): 1-27. |
[20] | FANG Y. Feature selection, deep neural network and trend prediction [J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(2): 297-307. |
[11] | RENAULT T. Intraday online investor sentiment and return patterns in the US stock market [J]. Journal of Banking & Finance, 2017, 84: 25-40. |
[21] | SPIRO A G, GOL’DOVSKAYA M D, KISELEVA N E, et al. Segmentation and hashing of time series in stock market prediction [J]. Automation and Remote Control, 2018, 79(5): 911-918. |
[12] | XIONG T, BAO Y K, HU Z Y. Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting [J]. Knowledge-Based Systems, 2014, 55: 87-100. |
[22] | ZHANG W, LIN S, ZHANG Y J. Intraday marketwide ups/Downs and returns [J]. Journal of Management Science and Engineering, 2016, 1(1): 28-57. |
[13] | KAO L J, CHIU C C, LU C J, et al. A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting [J]. Decision Support Systems, 2013, 54(3): 1228-1244. |
[23] | ARROYO-FERN′ ANDEZ I, M′ ENDEZ-CRUZ C F, SIERRA G, et al. Unsupervised sentence representations as word information series: Revisiting TF-IDF [J]. Computer Speech & Language, 2019, 56: 107-129. |
[14] | LI S W, CHEN T, WANG L, et al. Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index [J]. Tourism Management, 2018, 68: 116-126. |
[24] | CAO J, LI Z, LI J. Financial time series forecasting model based on CEEMDAN and LSTM [J]. Physica A: Statistical Mechanics and Its Applications, 2019, 519: 127-139. |
[15] | YOU D, CHEN F. Research on the prediction of network public opinion based on improved PSO and BP neural network [J]. Journal of Intelligence, 2016, 35(8): 156-161 (in Chinese). |
[25] | ZHOU Z B, LIN L, LI S X. International stock market contagion: A CEEMDAN wavelet analysis [J]. Economic Modelling, 2018, 72: 333-352. |
[16] | DASH S R, MAITRA D. Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach [J]. Finance Research Letters, 2018, 26: 32-39. |
[26] | CHENG Z, LU Z X. Research on the PID control of the ESP system of tractor based on improved AFSA and improved SA [J]. Computers and Electronics in Agriculture, 2018, 148: 142-147. |
[17] | XIAO C J, CHEN N C, HU C L, et al. Short and midterm sea surface temperature prediction using timeseries satellite data and LSTM-AdaBoost combination approach [J]. Remote Sensing of Environment, 2019, 233: 111358. |
[27] | LI J P, DONG P W. Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm [J]. Global Energy Interconnection, 2019, 2(4): 351-360. |
[18] | XU M J, SHANG P J, LIN A J. Cross-correlation analysis of stock markets using EMD and EEMD [J]. Physica A: Statistical Mechanics and Its Applications, 2016, 442: 82-90. |
[28] | WANG Y L. Stock market forecasting with financial micro-blog based on sentiment and time series analysis [J]. Journal of Shanghai Jiao Tong University (Science), 2017, 22(2): 173-179. |
[19] | SHARMA S S, THURAISAMY K, MADYAN M, et al. Evidence of price discovery on the Indonesian stock exchange [J]. Economic Modelling, 2019, 83: 2-7. |
[29] | OWUSU E, ZHAN Y Z, MAO Q R. A neuralAdaBoost based facial expression recognition system [J]. Expert Systems With Applications, 2014, 41(7): 3383-3390. |
[20] | FANG Y. Feature selection, deep neural network and trend prediction [J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(2): 297-307. |
[30] | YUAN G H, YANG W X. Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA) [J]. Energy, 2019, 183: 926-935. |
[21] | SPIRO A G, GOL’DOVSKAYA M D, KISELEVA N E, et al. Segmentation and hashing of time series in stock market prediction [J]. Automation and Remote Control, 2018, 79(5): 911-918. |
[22] | ZHANG W, LIN S, ZHANG Y J. Intraday marketwide ups/Downs and returns [J]. Journal of Management Science and Engineering, 2016, 1(1): 28-57. |
[23] | ARROYO-FERN′ ANDEZ I, M′ ENDEZ-CRUZ C F, SIERRA G, et al. Unsupervised sentence representations as word information series: Revisiting TF-IDF [J]. Computer Speech & Language, 2019, 56: 107-129. |
[24] | CAO J, LI Z, LI J. Financial time series forecasting model based on CEEMDAN and LSTM [J]. Physica A: Statistical Mechanics and Its Applications, 2019, 519: 127-139. |
[25] | ZHOU Z B, LIN L, LI S X. International stock market contagion: A CEEMDAN wavelet analysis [J]. Economic Modelling, 2018, 72: 333-352. |
[26] | CHENG Z, LU Z X. Research on the PID control of the ESP system of tractor based on improved AFSA and improved SA [J]. Computers and Electronics in Agriculture, 2018, 148: 142-147. |
[27] | LI J P, DONG P W. Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm [J]. Global Energy Interconnection, 2019, 2(4): 351-360. |
[28] | WANG Y L. Stock market forecasting with financial micro-blog based on sentiment and time series analysis [J]. Journal of Shanghai Jiao Tong University (Science), 2017, 22(2): 173-179. |
[29] | OWUSU E, ZHAN Y Z, MAO Q R. A neuralAdaBoost based facial expression recognition system [J]. Expert Systems With Applications, 2014, 41(7): 3383-3390. |
[30] | YUAN G H, YANG W X. Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA) [J]. Energy, 2019, 183: 926-935. |
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