预测困难与预测发展

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WANG Yu, YANG Shan-shan. Corporate Financial Distress Prediction Based on Multi-Dimensional Efficiency Indicators [J]. Chinese Journal of Management Science, 2021, 29(2): 32-41.

[2]

ZHANG Ding-hua, LI Wei-jun, LI Cheng, SHEN Shi-fei. The Researchon the Analysis and Prediction of Mass Incidentsin Multi-dimensional Scenario Space Based on Deep Learning [J]. Chinese Journal of Management Science, 2020, 28(8): 172-180.

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WU Jing, JIANG Zhi-qiang, ZHOU Wei-xing. Trading Strategies and Extreme Return Predictions based on the Recurrence Interval Analysis [J]. Chinese Journal of Management Science, 2020, 28(5): 39-51.

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XIONG Tao, BAO Yu-kun. Soybean Future Prices Forecasting based on Dynamic Model Averaging [J]. Chinese Journal of Management Science, 2020, 28(5): 79-88.

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OUYANG Hong-bing, HUANG Kang, YAN Hong-ju. Prediction of Financial Time Series Based on LSTM Neural Network [J]. Chinese Journal of Management Science, 2020, 28(4): 27-35.

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YANG Chang-hui, SHAO Zhen, LIU Chen, FU Chao. A Hybrid Modeling Framework and Its Application for Exchange Traded Fund Options Pricing [J]. Chinese Journal of Management Science, 2020, 28(12): 44-53.

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WEI Yu-qi, YANG Min, LIANG Liang. Research on the Linkage Method of Relief Materials Warehouse Based on Demand Forecasting and Modularization [J]. Chinese Journal of Management Science, 2019, 27(6): 123-135.

[12]

SU Zhen-yu, LONG Yong, WANG Yu. A Hybrid Monthly Load Forecasting Method Based on Seasonal Adjustment and Holt-Winters [J]. Chinese Journal of Management Science, 2019, 27(3): 30-40.

[13]

CAI Shu-qin, WANG Yang, WANG Yi-xing, QIN Zhi-yong, DOU Cong-ying. Research on the Expert Identification Method of Online Negative Word-of-mouth Handling [J]. Chinese Journal of Management Science, 2019, 27(3): 189-197.

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