共查询到17条相似文献,搜索用时 93 毫秒
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证券组合投资决策的β模型 总被引:8,自引:0,他引:8
本文基于证券组合系统风险和非系统风险的定量分析,建立了含β约束的证券组合多目标优化模型。文中给出了模型的解析解,分析了解的性态,并通过数值例子检验了模型的解,研究结果表明,只要适当控制证券组合的非系统风险,就能确保所求证券组合具有良好的分散性,从而较好地解决了β-类模型中的投资分散问题。 相似文献
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熵—证券投资组合风险的一种新的度量方法 总被引:16,自引:0,他引:16
本文在研究马科维茨 ( Markowitz)证券投资组合模型的基础上 ,分析了该模型用方差度量风险的缺陷 ,进而提出用熵作为风险的度量方法 ,改进马科维茨 ( Markowitz)证券投资组合模型 ,并建立新的证券投资组合优化模型 相似文献
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单位收益率风险最小的组合证券投资决策模型 总被引:1,自引:1,他引:0
章首先分析了组合证券投资的收益率和风险,根据组合证券投资的亏本概率上界最小的原则,建立了单位收益率风险最小的组合证券投资决策模型,并证明了该模型的有效性。 相似文献
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证券投资组合理论的一种新模型及其应用 总被引:4,自引:0,他引:4
马科维茨(Markowitz)以证券收益率的方差作为投资风险的测度建立了组合证券投资模型,本基于熵的概念,在研究马科维茨(Markowitz)证券投资组合模型的基础上,分析了该模型用方差度量风险的不足,进而提出一种新的证券投资组合优化模型,并以实例作了说明。 相似文献
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针对期望收益率与风险损失率为区间值模糊数的特征,就证券组合投资问题建立了一种区间值模糊线性规划模型,运用一种对区间值模糊数排序的新算法,将模型转化为经典的线性规划问题进行求解,最后通过一个算例说明其有效性和可靠性,为证券组合投资优化问题的解决提供了一种新的方法,对证券组合的理性投资具有重要的指导意义. 相似文献
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目标规划法在证券组合投资中的应用 总被引:2,自引:0,他引:2
证券投资是目前我国经济中的一大热点。本以Markowitz证券组合投资理论为基础,运用目标规划的方法建立一种新的证券组合投资决策模型。在本模型中综合考虑了证券组合的收益,风险,交易费用等因素,对投资选择有效证券组合有一定的实用价值。 相似文献
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限制投资下界的风险证券有效组合模型及算法研究 总被引:4,自引:0,他引:4
本文研究了具有投资下界限制的风险证券有限组合决策问题,提出了限制投资下界的风险证券有效组合优化模型,在一定的条件下,给出了风险证券有限组合投资比例的算法及解析表示,最后进行了实际数值计算,结果说明了所给算法是有效和实用的。 相似文献
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现代金融理论认为,系统风险无法通过组合投资进行规避,承担系统风险被市场承认从而可以获得风险报酬;非系统风险可以通过组合投资进行有效分散,因而承担非系统风险不应获得风险回报.试图阐述系统风险完全可以规避,指出承担非系统风险也应获得风险报酬,给出计量非系统风险回报率的规划方法,该规划的最优解同样满足两基金分离定理. 相似文献
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Portfolio risk can be decomposed into two parts, the systematic risk and the nonsystematic risk. It is well known that the nonsystematic risk can be eliminated by diversification, while the systematic risk cannot. Thus, the portfolio risk, except for that of undiversified small portfolios, is always dominated by the systematic risk. In this paper, under the mean–variance framework, we propose a model for actively allocating the systematic risk in portfolio optimization, which can also be interpreted as a model of controlling risk sensitivity in portfolio selection. Although the resulting problem is, in general, a notorious non-convex quadratically constrained quadratic program, the problem formulation is of some special structures due to the features of the defined marginal systematic risk contribution and the way to model the systematic risk via a factor model. By exploiting such special problem characteristics, we design an efficient and globally convergent branch-and-bound solution algorithm, based on a second-order cone relaxation. While empirical study demonstrates that the proposed model is a preferred tool for active portfolio risk management, numerical experiments also show that the proposed solution method is more efficient when compared to the commercial software BARON. 相似文献
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Some further ideas concerning the interaction between insurance and investment risks 总被引:1,自引:0,他引:1
For many years it has been a frequently discussed question which is more important: insurance or investment risk. Based on Bühlmann’s (1995) method to separate these two risks with the help of conditional expectations, this paper presents a decomposition of the prospective portfolio loss into a sum of three addends that uniquely correspond to unsystematic insurance risk, systematic insurance risk, and investment risk. Calculating their variances for homogeneous portfolios of term life and pure endowment insurances shows that answering the initial question is more complex than frequently thought. In a second step, an extended duration concept is introduced, which allows one to analyze the non-diversifiable investment and systematic insurance in view of parameter changes at certain points in time. 相似文献
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Portfolio optimization problem is concerned with choosing an optimal portfolio strategy that can strike a balance between maximizing investment return and minimizing investment risk. In many cases, the return rate of risky asset is neither a random variable nor a fuzzy variable. Then, it can be described as an uncertain variable. But, the existing works on uncertain portfolio optimization problem fail to find an analytic solution of optimal portfolio strategy. In this paper, we define a new uncertain risk measure for the modeling of investment risk. Then, an uncertain portfolio optimization model is formulated. By introducing a new variable, we transform it into an equivalent bi-criteria optimization model. Then, we derive a method for the construction of the set of analytic Pareto optimal solutions. Finally, a numerical simulation is carried out to show the applicability of the proposed model and the convenience of finding the analytic solution. 相似文献
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股票市场是一个高风险市场,如何在频繁发生的极端波动环境下进行有效的资产分配是当前热点问题。本文首次应用VaR模型构建股市风险网络,并基于风险网络模型进行最优投资组合成分选择,分析不同市场波动行情下最优资产分配权重和股票中心性的时变关系,融合风险网络时变中心性和个股表现提出新的动态资产分配策略(φ投资策略)。结果表明:在股市上涨和震荡期,股票中心性和最优投资组合权重呈正相关关系;股市下跌期,股票中心性和最优投资组合权重呈负相关关系;当φ>0.05时,投资者的合理投资区域向高中心性节点移动,反之。φ投资策略的绩效表现证明了风险网络结构能提高投资组合选择过程。此研究对于优化资产配置、提高投资收益、多元化分散投资风险具有重要意义。 相似文献
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The paper by Huang [Fuzzy chance-constrained portfolio selection, Applied Mathematics and Computation 177 (2006) 500-507] proposes a fuzzy chance-constrained portfolio selection model and presents a numerical example to illustrate the proposed model. In this note, we will show that Huang’s model produces optimal portfolio investing in only one security when candidate security returns are independent to each other no matter how many independent securities are in the market. The reason for concentrative solution is that Huang’s model does not consider the investment risk. To avoid concentrative investment, a risk constraint is added to the fuzzy chance-constrained portfolio selection model. In addition, we point out that the result of the numerical example is inaccurate. 相似文献