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multi factor model
相关语句
  多因素模型
     Assessment on the prognosis of multiple myeloma and establishment of a multifactor model
     多发性骨髓瘤的预后评估和多因素模型的建立
短句来源
     The Research of the SME IPO Pricing Multifactor Model
     中小企业IPO定价多因素模型研究
短句来源
     Multifactor model then uses many a macroscopic economic variables explaining the system risk.
     多因素模型则用多个宏观经济变量来解释系统风险。
短句来源
     Multifactor model holds important position in modern investment theories.
     多因素模型在现代投资理论中居于重要地位。
短句来源
     On the other hand, this paper tried to study the risk budgeting on the application of portfolio through introduction of risk budgeting and bring in the multifactor model of security return to risk budgeting process to set up the risk budgeting system which
     另一方面,本文试图通过对风险预算的介绍,考察风险预算技术在投资组合中的应用,将证券收益的多因素模型引入风险预算过程,建立基于多因素模型的风险预算系统体系。 并运用我国的基金公司历史数据对风险预算系统体系进行实证,从而为我国的金融机构建立更为有效的风险预算体系提供参考。
短句来源
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  多因素模型
     Assessment on the prognosis of multiple myeloma and establishment of a multifactor model
     多发性骨髓瘤的预后评估和多因素模型的建立
短句来源
     The Research of the SME IPO Pricing Multifactor Model
     中小企业IPO定价多因素模型研究
短句来源
     Multifactor model then uses many a macroscopic economic variables explaining the system risk.
     多因素模型则用多个宏观经济变量来解释系统风险。
短句来源
     Multifactor model holds important position in modern investment theories.
     多因素模型在现代投资理论中居于重要地位。
短句来源
     On the other hand, this paper tried to study the risk budgeting on the application of portfolio through introduction of risk budgeting and bring in the multifactor model of security return to risk budgeting process to set up the risk budgeting system which
     另一方面,本文试图通过对风险预算的介绍,考察风险预算技术在投资组合中的应用,将证券收益的多因素模型引入风险预算过程,建立基于多因素模型的风险预算系统体系。 并运用我国的基金公司历史数据对风险预算系统体系进行实证,从而为我国的金融机构建立更为有效的风险预算体系提供参考。
短句来源
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  “multi factor model”译为未确定词的双语例句
     3) The single-factor model excels in multifactor model in evaluating the performance of mutual funds.
     (3)多因素绩效评估模型优于单因素模型;
短句来源
     Based on electric power in formation during 1990~1998 in Shanghai, a comparison was conducted among predicted results of various models, which showed that exponent weighted transfer GM(1,) model applies to the prediction of the primary industry, the secondary industry and the total energy used, while the correlative multi factor model applies to the prediction of the tertiary industry, residential demand and the maximum load.
     以上海市 1 990~ 1 998年的电力资料为基础 ,对各种模型的预测结果进行比较。 结果表明 ,不同模型适用于不同特点的电力需求预测 ,指数加权变换 GM( 1 ,1 )模型适用于第一产业、第二产业及总的用电量预测 ,关联多因子模型适用于第三产业、居民生活用电量及最高负荷预测。
短句来源
     In this paper, we simplify Markowitz′s model for portfolio investment under the condition of no short sale with the help of arbitrage pricing theory (APT), present a multifactor model for portfolio investment decision under the condition of no short sale, and study its solution and its characteristics.
     利用套利定价理论(APT)改进不允许卖空的Markowitz的证券组合投资决策模型,导出了不允许卖空的多因素证券组合投资决策模型,并研究了该模型的解及其性质
短句来源
     Vibration amplitude of steam turbine is affected by operation parameters and random factors,the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
     针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点 ,提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
短句来源
     Multivariate time series method is used to analyze the performance of oil production and injection wells. A multi factor model for predicting the water cut in oil well is presented.
     采用多元时间序列分析的方法 ,对油水井动态特性进行了分析 ,建立了油井含水率的多因素预测模型。
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  multi factor model
VECTOR now displays the correlation adjustments and factor loadings for the multi factor model.
      
The relationship between the correlation that is appropriate for a multi-factor model and that of a single-factor model is unclear.
      
They find that a single index model describes the cross section of volatility in contrast to the multi-factor model found here.
      
This is a multi-factor model, with the factor loadings rather than the factors viewed as observables.
      
This feature can only be accommodated by a multi-factor model such as the one considered in the current paper.
      
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According to differences among various customers' power demand and load-increasing trend, a prediction of district energy used and maximum load using grey GM(1,1) model, modiied GM(1,) model and correlative multi-factor model was primarily studied. Based on electric power in formation during 1990~1998 in Shanghai, a comparison was conducted among predicted results of various models, which showed that exponent weighted transfer GM(1,) model applies to the prediction of...

According to differences among various customers' power demand and load-increasing trend, a prediction of district energy used and maximum load using grey GM(1,1) model, modiied GM(1,) model and correlative multi-factor model was primarily studied. Based on electric power in formation during 1990~1998 in Shanghai, a comparison was conducted among predicted results of various models, which showed that exponent weighted transfer GM(1,) model applies to the prediction of the primary industry, the secondary industry and the total energy used, while the correlative multi factor model applies to the prediction of the tertiary industry, residential demand and the maximum load.

根据不同部门在用电方式、增长趋势等方面的不同特点 ,对灰色 GM( 1 ,1 )模型、改进的 GM( 1 ,1 )模型以及关联多因子模型在地区用电量和最高负荷预测中的应用做了初步研究。以上海市 1 990~ 1 998年的电力资料为基础 ,对各种模型的预测结果进行比较。结果表明 ,不同模型适用于不同特点的电力需求预测 ,指数加权变换 GM( 1 ,1 )模型适用于第一产业、第二产业及总的用电量预测 ,关联多因子模型适用于第三产业、居民生活用电量及最高负荷预测。

The paper analyzes the cross-sectional determinants of expected stock returns by using empirical method.Compared to existing researches,we extend the research content and method in the following aspects:1.using average return of the market to estimate market return and then to estimate BETA;2.using MLE method to lower the influence of errors in the variables,3.testing both one-factor model and multi-factor models.We find that 1)BETA does not have explanatory power to expect stock...

The paper analyzes the cross-sectional determinants of expected stock returns by using empirical method.Compared to existing researches,we extend the research content and method in the following aspects:1.using average return of the market to estimate market return and then to estimate BETA;2.using MLE method to lower the influence of errors in the variables,3.testing both one-factor model and multi-factor models.We find that 1)BETA does not have explanatory power to expect stock returns across all the models,even though different estimation method of BETA is used;and 2)Scholes and William(1997) method can help us increase the predicting ability of BETA;3)Shize and B/P can always significantly explain expect stock retuns across all the models,and the same results do not happen to BETA,leverage and P/E ratio;and 4)when size is controlled,the proportion of negotiable shares to total shares also have significant explanatory power.

本文运用经验研究的方法 ,对预期股票收益的决定因素进行了横截面分析。较之以往的研究 ,本文在研究内容和研究方法方面作了如下拓展 :1 )运用公司收益的算术均值来估计市场收益 ,再用该指标估计BETA值 ;2 )运用最大似然估计的方法来估计各变量对股票收益的解释能力 ,以降低变量内生误差的影响 ;3 )既进行了单因素模型的检验 ,又进行了多因素模型的检验。经过研究 ,我们发现 :1 )在对单因素模型和多因素模型的检验中 ,BETA始终没有对股票收益表现出解释能力 ,这种现象在BETA采用不同的估计方法时仍然存在 ;2 )尽管BETA始终没有对股票收益表现出显著的解释能力 ,但当采用Scholes和William(1 977)的方法估计BETA时 ,BETA的预测能力有了明显的提高 ;3 )在预测股票收益时 ,规模和B/P表现出显著的解释能力 ,并且这样的结论在不同的模型中始终成立 ;在不同的模型中 ,BETA、账面财务杠杆和市盈率始终没有通过显著性检验 ,规模和B/P可以解释与上述变量有关的股票收益 ;4)在控制了规模以后 ,流通股比例表现出对预期股票收益显著的解释能力。

Multivariate time series method is used to analyze the performance of oil production and injection wells. A multi factor model for predicting the water cut in oil well is presented. According to this model, the water cut in oil well can be predicted when the injection of water well is known. The connecting condition between oil well and injection well, and the influence of water injection on water cut of oil well are studied with the identification of transfer function. The result...

Multivariate time series method is used to analyze the performance of oil production and injection wells. A multi factor model for predicting the water cut in oil well is presented. According to this model, the water cut in oil well can be predicted when the injection of water well is known. The connecting condition between oil well and injection well, and the influence of water injection on water cut of oil well are studied with the identification of transfer function. The result is instructive to the injection and production adjustment based on the dynamic data of oilfields. Feasibility of the method is proved by an oil field example.

采用多元时间序列分析的方法 ,对油水井动态特性进行了分析 ,建立了油井含水率的多因素预测模型。利用该模型可在已知水井注水量的情况下对相应油井的含水率进行预测。通过对传递函数模型的识别 ,分析了油水井的地下连通关系及注水对油井含水率的影响。油田应用实例验证了该方法在油田开发动态预测方面的可行性。

 
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