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个股

ɡè ɡǔ
  • individual share
个股个股
  1. 在个股定价中,为全面考虑价格的影响因素,又包含了行业定价、无差异定价和市场定价三个维度。

    All things considered , price of individual share is composed by industry price , indifference price and market price .

  2. 行业配置、规模配置和个股选择的作用也随着市场行情的变化表现出一定的特征。

    The effect of the industrial allocation , the size allocation and individual share selection will show their certain characteristics along with the change of market .

  3. 最后,让所有个股之船浮起来的潮水来自美联储(fed)。

    Ultimately , the tide floating all equity boats is coming from the Federal Reserve .

  4. 方法回顾性分析了42个股骨头的x线平片及mri表现。

    Methods the X-ray and MRI finding of avascular necrosis in42 femoral head were analyzed retrospectively .

  5. 个股走势模式分类的RBF神经网络方法

    RBF neural network method for pattern classification of share tendency

  6. 方法对35例股骨头进行CT扫描,分析47个股骨头缺血坏死的CT表现。

    Methods CT scanning of 35 cases femoral head was performed and the CT manifestation of avascular necrosis of 47 femoral heads was analysed .

  7. KD指标对指数大势较准确,对个股较差。

    KD is more accurate in index trend than individual share .

  8. 加权分布模型测算个股VaR

    Evaluating VaR on the Weighted Distribution Model

  9. 本文报告了25例46个股骨头缺血性坏死MRI表现,证实了其早期MRI表现是双线征。

    The present paper reports on MRI findings of 46 femoral heads in 25 patients with avascular necrosis of the femoral head .

  10. 去年企业对企业电子商务(B2B)的个股股价一飞冲天。

    The B2B stock price of skyrocketed last year .

  11. A股市场个股CAPM模型的实证研究与改进

    The Improve and Empirical Study of CAPM Model of the A-share Market Stocks

  12. 最后,利用ARCH族模型对高频数据进行研究,以考察股指和个股在日内的波动情况。

    At last , it researches the frequence data by using ARCH models to review the fluctuation status of stock index and stocks in a day .

  13. CT扫描15个股骨头显示骨小梁扭曲,12个股骨头内见多种形态高密度硬化区,其中3个股骨头合并低密度区。

    CT scans demonstrated distorted trabeculae in 15 femoral heads , and polymorphous high density sclerosis in 12 , and in 3 of the 12 there was also low density area .

  14. 基于CAPM两因素模型的个股波动率分解的实证分析

    Empirical Exploration of the Volatility Decomposition of Individual Stock Based on CAPM Two-factor Model

  15. 中国股票投资者个股投资风险SD模拟机构投资者是当今资本市场一个比较活跃的市场主体。

    The SD Simulation on Investing Single Stock Risks of Chinese Investor ; Institutional investors is a active group in modem capital market .

  16. 尽管每轮市场反弹最终都呈V形,每次连续的涨势中,个股的参与越来越少。

    Despite the fact that each market rebound ended up as a V-shaped affair , each successive rally was carried out with less and less individual stock participation .

  17. 结果在Gd增强MRI,全部22个股骨头的17个骨骺软骨、8个生长板可见局限性的弱强化或未强化。

    Results On gadolinium-enhanced MRI , regional decreased or absent enhancement was seen in 17 cartilaginous epiphyses and 8 physes of all 22 femoral heads .

  18. 本文使用Apriori算法挖掘个股的关联规则,还进行了基于聚类的关联规则挖掘。

    The paper used Apriori algorithm mining association rules among single stock , then carried through association rules mining based on clustering .

  19. 随着波动性笼罩股票市场,投资者威胁将回避高估值个股,世界各地企业正被迫收缩首次公开发行(IPO)的规模和定价。

    Companies worldwide are being forced to slash the size and price of multimillion-dollar stock market debuts as volatility takes hold and investors threaten to shun high valuations .

  20. 一年前,德意志银行(DEUTSCHEBANK)的证券策略师们开始根据企业主要业务面向美国、拉美、东欧还是中国,对欧洲个股进行分类。

    A year ago , equity strategists at Deutsche Bank started dividing European stocks according to whether their chief exposures lay to the US , Latin America , eastern Europe or China .

  21. 并根据市场公开数据,利用统计分析软件SPSS来验证主力资金进出对沪深股指、板块指数以及个股走势的主导作用。同时对资金流向分析法在实践运用中的适用性问题进行了总结。

    At the same time using the statistical software SPSS to validate the effect of Shanghai and Shenzhen stock index , sector index and individual stock movements from the main fund .

  22. 最后,本文应用上述并行模型优化的RBF神经网络对非线性函数值以及证券个股收盘价进行预测。

    At last , this paper uses the RBF neural network that was optimized by the mentioned parallel model to predict the value of some nonlinear functions and the close of several stocks .

  23. 况且,渴望收益的投资者如今可从个股和交易所交易基金(ETF)那里获得与共同基金相同的收益率,而且成本还更低。

    And now income-hungry investors can earn the same yields from individual shares and exchange-traded funds that they would have got from collective funds .

  24. 对于个股上海石化股价给出了最高价、收盘价、最低价的GM(11)预测值与实际值的比较。

    For the stock of a Shanghai chemical plant , a comparison was done between the highest price , closing price , the GM ( 1.1 ) of the lowest price , the predicted value , and the actual value .

  25. 结果:早期ANFH的CT表现:31例38个股骨头,其中13个股骨头骨小梁呈放射状高密度的星状征,骨小梁境界清楚、锐利,属Ⅰ期;

    Results Early signs of ANFH using CT showed that , in 38 femoral heads 31 cases , there were radiate star shape of high-density osteosclerosis of the trabeculae ( stage ⅰ) in 13 femoral head .

  26. 本文着重从QFII持股时间、持股数量、投资行业分布和个股选择等方面对QFII的投资行为进行了初步的实证分析。

    This paper studies on QFII investing activities from the empirical analysis on QFII stock holding period , stock holding quantity , stock investing industry structure and their stock choosing policies .

  27. 并且以个股时间序列的小波分解系数作为观测值,借用数字语音识别的思想,使用隐马尔科夫模型(HMM)进行价格趋势预测,改善了预测效果。

    We utilized the wavelet coefficient as the observed value , following the digital speech recognition thinking , predicted the stock price tendency with the hidden Markov Model ( HMM ), and got an improved effect .

  28. 华尔街密切关注着Netflix的一举一动,该公司股价在2015年大涨135%,成为了标准普尔500指数中业绩最好的个股。

    Wall Street is watching Netflix 's moves carefully . The company 's share price surged 135 percent in 2015 , making it the top performer on the Standard & Poor 's 500-stock index .

  29. 第四章介绍F-O修正模型在具体行业和个股中的实证分析。

    The fourth chapter describes the F-O correction model in specific sectors and individual stocks in the empirical analysis .

  30. 利用个股数据资料和非对称成分GARCH-M模型对中国股票市场的量价关系进行了实证研究。

    This paper conducts empirical study of the relationship between stock price and trading volume with the help of data of some stocks and asymmetric component GARCH-M.