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empirical
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    Market Efficiency in Chinese Stock Market: Analysis and Empirical Study
    中国股票市场有效性分析与实证研究
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    Theoretical Analysis and Empirical Study on Return-Risk of Portfolio
    资产组合收益—风险的理论分析与实证研究
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    Insider Trading in the Chinese Stock Market--An Empirical Study
    中国证券市场内幕交易实证研究
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    Empirical Work on the Efficiency of China Stock Market
    中国股票市场效率实证研究
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    Irrationality and Limited Rationality:An Empirical Study on the Investors' Behavior in Chinese Stock Market
    非理性与有限理性:中国股市投资者行为实证研究
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  “empirical”译为未确定词的双语例句
    The Theoretical and Empirical Research on Real Estate Investment Trusts
    房地产投资信托基金理论与实践研究
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    Using empirical data of Shanghai A-share,the paper does a chi-squared test of distribution fitting,the results show that,at the 0.05 level,69.56% of the stocks give an acceptable fit for subjective model of the distribution of returns,while 56.31%,44.80%,46.06%和1.74% for t distribution,mix-double normal distribution,stable distribution and normal distribution.
    利用沪市A股数据,进行χ2同分布拟合检验,结果表明:0.05水平下,沪市69.56%股票的收益率分布认为符合收益率分布主观模型,接受t分布、双正态混合分布、稳定分布和正态分布假设的股票分别为56.31%、44.80%、46.06%和1.74%。
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    Empirical investigation of initial returns of Chinas A share IPOs
    中国A股市场初始回报率研究
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    Empirical investigatio on the integration between the markets for share A and share B
    中国A股与B股的市场分割性检验
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    An Empirical Study on the IPO Difference of Companies Listed both Abroad and Domestic
    境内外交叉上市企业IPO价格差异研究
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  empirical
Numerical and empirical results are presented establishing the empirical stability of the basic algorithm.
      
The asymptotically optimal empirical bayes estimation in multiple linear regression model
      
Empirical Bayes estimation of the parameter vector θ=(β',σ2)' in a multiple linear regression modelY=Xβ+ε is considered, where β is the vector of regression coefficient, ε∽N(0,σI with σ2 unknown.
      
Generally, The risk-neutral default intensity λQ is not equal to the empirical or actual default intensity λ.
      
Empirical likelihood for linear models under m-dependent errors
      
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In this paper, a tool for decision making of expert system is designed, which is based on neural network theory to pick security using BP networks with neural gates, the knowledge representation, acquisition and reasoning is analyzed. feature extraction of security market is presented, empirical design and simulation is progressed. The results show that the design of decision tool is correct and feasible.

本文针对证券选择问题,根据神经网络理论,设计了带神经门处理器的BP网络专家系统决策工具,分析了决策工具的知识表示、获取和推理过程,提出了证券市场特征抽取的规范,进行了示范性的实验设计和仿真工作,结果表明这种新的决策工具设计合理可行.

on Kuhn-Tucker condition,the structural properties of efficient portfolios given expected rate of return are studied under the constraint of non-negative portfolio weights.The general form of efficient frontiers of portfolios without short sales is proved to be piecewise parabolic and continuously differentiable.The method for continuously determining the structure change of efficient portfolios and accordingly the efficient frontier is developed with the conditions for introductng a security into or excluding...

on Kuhn-Tucker condition,the structural properties of efficient portfolios given expected rate of return are studied under the constraint of non-negative portfolio weights.The general form of efficient frontiers of portfolios without short sales is proved to be piecewise parabolic and continuously differentiable.The method for continuously determining the structure change of efficient portfolios and accordingly the efficient frontier is developed with the conditions for introductng a security into or excluding a security from efficient portfolios being discussed.Furthermore, the resultS are extended to international portfolio investment based on integration of the decision of diversifying the international portfolio risk and the decision of hedging the currency exposure,and some meaningful points are concluded from an empirical study.

研究了不允许卖空情况下有效证券组合的结构特征,证明了其有效边界由一系列开口向上的抛物线段光滑连接而成,给出了连续确定有效证券组合构成变动及相应的有效边界的方法,并将有关结果推广到考虑外汇套期保值的国际组合证券投资决策中。

In this paper, neural networks expert system of portofolio investment is presented. The knowledge acquisition, knowledge base, reasoning machine and interface department are designed.The probationary technique is analized. Empirical design and simulation are progressed.This design of decision tool is correct and feasible in the result.

提出证券投资的神经网络专家系统结构,设计了知识获取、推理机、知识库和人机界面4个部件,分析了神经网络专家系统的预前技术。证券投资的实验设计和仿真实验结果表明,这种新的专家系统设计合理可行。

 
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