证券组合分析

证券组合分析证券组合分析
  1. 将给出证券组合投资分析的一个对策论方法。

    This paper presents a game theory approach for portfolio selection .

  2. 证券组合投资分析的进化博弈方法

    An Evolutionary Game Theory Approach for Portfolio Selection

  3. 根据该模型,我们开发了旋风证券组合投资分析系统。

    According to that model , we developed " tornado stock portfolio analysis system " .

  4. 证券投资组合分析部分。

    Theory of securities portfolio analysis .

  5. 国际证券组合投资分析

    Analysis of International Portfolio Investment

  6. 研究了MV证券投资组合灵敏度分析方法。

    This paper gives approaches to the sensitivity analysis for Mean-Variance ( M-V ) portfolios with riskless asset .

  7. 最小风险证券组合的结构分析和迭代算法

    Structural Properties of Optimal Portfolios and Iterative Algorithm for Risk Minimization

  8. 证券投资组合模型分析

    A model of investment portfolio analysis

  9. 一般M-V模型中的有效证券组合及无套利分析

    Efficient Portfolio and No - Arbitrage Analysis in General M-V Model

  10. 一类风险证券有效组合的变动分析

    Fluctuation analysis of efficient frontier for a class of risky securities

  11. 证券投资组合理论实证分析

    The Positve Analysis on the Security Portfolio Investment Theory

  12. 构建证券组合保险的策略分析

    Analysis on Strategies to Construct Portfolio Insurance

  13. 证券投资组合的优化分析

    An Optimization Analysis of Stock Investment Combination

  14. 风险证券组合投资的最优化分析

    Analysis on optimum risk portfolio investment

  15. 证券组合的马尔可夫链分析

    Study of Markov chain on Portfolio

  16. 确定证券组合中各证券的投资比例系数是证券组合分析的核心环节。

    Ascertaining the coefficient of investment proportion of every securities in the combination of securities is the core link of the combination and analysis of securities .

  17. 从此,以预期收益率衡量证券组合收益,以方差或均方差衡量证券组合风险的分析框架在金融领域中得以确立。

    Since then , the framework of using expected return as a measure of return rate of a portfolio and using variance as a measure of risk is established in the contemporary financial theories .

  18. 建立了一种新的证券组合投资区间数规划模型,将区间数规划模型转化为参数线性规划问题求解,使证券组合投资决策分析更加具有柔性。

    An interactive interval linear programming algorithm is presented to solve a class of multiple criteria decision problems with interval numbers in the decision indices of decision alternatives .