| 利用技术指标及多元回归模型预测股票价格 |
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| 引用本文： | 刘叶玲,高玲.利用技术指标及多元回归模型预测股票价格[J].技术与创新管理,2010,31(2):235-237. |
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| 作者姓名： | 刘叶玲 高玲 |
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| 作者单位： | 西安科技大学理学院,陕西,西安,710054 |
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| 基金项目： | 陕西省科技计划项目资助(2009KRM99) |
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| 摘 要： | 文章应用股市中三个具有典型意义的技术指标,RSI,KDJ和5日平均线建立了非线性回归预测模型,对股票的价格走势进行了短期预测。所建立的回归模型对预测某些股票的短期价格趋势提供了参考,具有一定的理论价值和实际应用价值。
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| 关 键 词： | 股票预测 技术指标 回归模型 |
The Utilization of Technical Specifications and Multi-Regression Model to Forecast Stock Price Trends |
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| LIU Ye-ling,GAO Ling.The Utilization of Technical Specifications and Multi-Regression Model to Forecast Stock Price Trends[J].Technology and Innovation Management,2010,31(2):235-237. |
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| Authors: | LIU Ye-ling GAO Ling |
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| Institution: | LIU Ye-ling,GAO Ling |
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| Abstract: | This article uses three technical specifications which have very important influence on the stock price trend in the stock market.They are RSI,KDJ and 5-day averages line.Then the non-linear regression forecast model has been established,which carries on the short-term forecast of the stock price trend. |
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| Keywords: | Stock forecast technical specification regression model |
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