查询词典 portfolio

This methodology doesn\'t reflect the essence of portfolio selection theory.

这种研究套期保值的思路并没有充分反映资产组合选择理论的实质。

In this paper, we use fuzzy numbers to deal with the uncertainty. A new portfolio selection model with fuzzy coefficients is proposed.

本文采用模糊数来处理不确定性，提出了一种基于模糊收益率的投资组合模型。

So that, our main task in the paper is structuring efficient and useful portfolio selection using fuzzy mathematics.

如何在不确定环境下，实现投资收益的最大化，同时有效地规避投资风险，永远是投资者最关心的问题。

First, Some typical portfolio selection models from investment practice are presented.

首先，介绍了基于投资实践所归纳出来的几种资产组合选择模型。

All studies of this paper base on the classical theory of portfolio selection and capital asset pricing.

鉴于此，本文目的是在经典的资产组合选择与资本资产定价框架下，结合现实市场中对资产持有加以限制的条件，重点对存在持有限制的市场和不存在持有限制的市场进行比较研究。

It is one of most important problems to obtain efficient portfolios by applying optimization methods on portfolio selection in the economy.

应用最优化技术于投资组合分析确定最优投资组合是计算金融的重要内容之一。

At the last of the chapter, the general formulation of stochastic programming for dynamic portfolio selection is given. It is the basis of other models in this dissertation.

本章最后给出了用于动态投资组合选择的随机规划模型的一般形式，它是本文其它模型的基础。

Second, a portfolio selection model under constraints of both investment chance and VaR is established.

第一章介绍了标准的均值—方差模型及"均值—方差有效集"的性质，给出了投资机会约束和VaR约束的定义。

It's regretted that the multi-extremum theory of portfolio selection with different fat tails is still a problem that needs to be resolved.

遗憾的是，具有不同厚尾的股票组合的多元极值分布理论，到目前为止仍然是有待解决的问题。

In this dissertation, we apply fuzzy mathematics and optimization theory to study portfolio selection problems and try to establish a new framework for investment analysis.

本文综合应用模糊数学和最优化原理来研究证券投资组合选择问题，试图为投资决策分析建立一种新的分析框架。

Recall that, in the Kolmogorov axiomatization, measurable sets are the sets which have a probability or, in other words, the sets corresponding to yes/no questions that have a probabilistic answer.

延期开工的Kolmogorov宣布要衡量所有套职能有限许多坐标限制在于衡量子寅。换句话说，如果是/否的问题回答f可看的价值观念在许多最有限坐标，然后它有一个概率的答案。

The experimental results showed that the algorithm can filter singular points and remain fixity of the target edge.

实验表明：基于模糊理论的图像智能滤波方法比常规图像滤波方法运算量小，它既能去除奇异点，又能保持图像中目标的边缘不变性，具有很好的滤波效果。