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Application of Portfolio Model in the Real Investment Transactions
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作者 WANG Guo-xin LIU Jing 《Chinese Quarterly Journal of Mathematics》 CSCD 2013年第1期33-40,共8页
This paper studies discrete investment portfolio model that the objective function is utility function. According to a hybrid branch-and-bound method based on Lagrangian relaxation and continuous relaxation, the paper... This paper studies discrete investment portfolio model that the objective function is utility function. According to a hybrid branch-and-bound method based on Lagrangian relaxation and continuous relaxation, the paper analyzes the question using the real statistical data. The results indicate that discrete investment portfolio model really has its guidance in the actual investment. 展开更多
关键词 investment portfolio single factor model BRANCH-AND-BOUND numerical analysis
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Application of Interval Valued Fuzzy Linear Programming for Stock Portfolio Optimization
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作者 Deyu Yin 《Applied Mathematics》 2018年第2期101-113,共13页
In this paper, based on existing results, decision making about portfolio investment schemes is discussed, ordering method of fuzzy numbers of interval value is shown, corresponding auxiliary models are established an... In this paper, based on existing results, decision making about portfolio investment schemes is discussed, ordering method of fuzzy numbers of interval value is shown, corresponding auxiliary models are established and solutions are provided with theories of fuzzy mathematics, optimization theory and numerical calculation, etc. Then it applies software programming to solve the portfolio investment situation between investors in savings and four securities according to the established models. The result shows that investors can choose the risk coefficient that they can bear to reach the maximum value of expected returns. The greater the risk coefficient, the greater the income, the smaller the risk coefficient and the smaller the income. Investors can determine their own portfolio strategy according to their own conditions in order to meet their own interests. 展开更多
关键词 STOCK portfolio investment MAtheMATICAL OPTIMIZATION model APPLICATION
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System portfolio selection based on GRA method under hesitant fuzzy environment 被引量:3
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作者 LI Zhuoqian DOU Yajie +2 位作者 XIA Boyuan YANG Kewei LI Mengjun 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第1期120-133,共14页
The hesitant fuzzy set(HFS) is an important tool to deal with uncertain and vague information.In equipment system portfolio selection, the index attribute of the equipment system may not be expressed by precise data;i... The hesitant fuzzy set(HFS) is an important tool to deal with uncertain and vague information.In equipment system portfolio selection, the index attribute of the equipment system may not be expressed by precise data;it is usually described by qualitative information and expressed as multiple possible values.We propose a method of equipment system portfolio selection under hesitant fuzzy environment.The hesitant fuzzy element(HFE) is used to describe the index and attribute values of the equipment system.The hesitation degree of HFEs measures the uncertainty of the criterion data of the equipment system.The hesitant fuzzy grey relational analysis(GRA) method is used to evaluate the score of the equipment system, and the improved HFE distance measure is used to fully consider the influence of hesitation degree on the grey correlation degree.Based on the score and hesitation degree of the equipment system,two portfolio selection models of the equipment system and an equipment system portfolio selection case is given to illustrate the application process and effectiveness of the method. 展开更多
关键词 system portfolio selection hesitant fuzzy set(HFS) grey relational analysis(GRA) score-hesitation tradeoff portfolio model
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Goal Programming for Investment Portfolio and Its Application
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作者 易树平 《Journal of Chongqing University》 CAS 2002年第1期27-31,共5页
To solve the problem of investment portfolio with single goal of maximal NPV, a 0- 1 programming model was proposed and proved effective; and to solve that concerning more elements of a project such as risk level and ... To solve the problem of investment portfolio with single goal of maximal NPV, a 0- 1 programming model was proposed and proved effective; and to solve that concerning more elements of a project such as risk level and social benefit, a goal programming model is then introduced. The latter is a linear programming model adopting slack variable called deviation variable to turn inequation constraint into equation constraint, introducing a priority factor to denote different importance of the goals. A case study has demonstrated that this goal programming model can give different results according to different priority requirement of each objective. 展开更多
关键词 Goal programming investment portfolio Optimal model
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Main Regulations of CAPM Model and Its Modern Modification
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作者 Lamara Qoqiauri Nino Qoqiauri 《Management Studies》 2019年第1期15-32,共18页
The article gives readers the main regulations of elaboration of capital actives evaluating model(CAPM)theory,topics of its practical usage,common ways of definition of investments(securities)optimal portfolio and on ... The article gives readers the main regulations of elaboration of capital actives evaluating model(CAPM)theory,topics of its practical usage,common ways of definition of investments(securities)optimal portfolio and on the basis of CAPM theory it is discussed evaluating methods of investing business,and it is highlighted two criteria of portfolio chosen by an investor—profit and risk.Besides,it is discussed modern modification of the mentioned model on the point of time horizon,a problem of time factor measurement while evaluating risk and profit,also evaluation of investing effectivity by using sharp coefficient.The work presents and evaluates possible income of securities and possibilities of risks in a modern way,which is characteristic only for CAPM model and it is considered to be its positive side. 展开更多
关键词 SECURITIES risk INCOME CAPM model stock MARKET bond MARKET optimal portfolio investments market sharp coefficient
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Economic Benefit Estimating of Polydimensional Efficiency Measurement Model Implementation
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作者 Andrey Aleksandrovich Shishkin Olga Andreevna Tyugai 《Open Journal of Applied Sciences》 2015年第3期108-114,共7页
This paper is a revised and expanded version of a paper entitled “The static and dynamic criteria of building an investment asset portfolio” presented at International Conference on Applied Economics (ICOAE, 2014), ... This paper is a revised and expanded version of a paper entitled “The static and dynamic criteria of building an investment asset portfolio” presented at International Conference on Applied Economics (ICOAE, 2014), Chania, 3-5 July 2014 and published at Procedia Economics and Finance, Volume 14, Pages 575-584 (2014) [1]. At the previous research, it showed the significance to go beyond the scope of selecting one or another metric of static efficiency. And the attention was paid to the dynamic efficiency criteria. The ICOAE 2015 research gives brief results of that work, which is only one of applied areas of polydimensional efficiency measurement model (PEMM). Research work on PEMM conceptual and methodical elaboration has been started in the author’s dissertation study [2] and continued in the practical activity and materialized in Innovative LLC (limited liability company) creating project. The research is concentrating on the real economic benefit of 3D PEMM (thee criterial PEMM version) implementation. In the first part of ICOAE 2015 empirical study, the dynamic component of 3D PEMM on the industrial level was tested. Next, the company economic profit changes and dynamic-market 3D PEMM components correlation was estimated. Finally, the economic benefit of 3D PEMM functional operationalization in the framework of management systems development was calculated. 展开更多
关键词 investment portfolio Shareholder VALUE Economic VALUE Added Dynamic Performance CRITERION CRITERION VALUE Based MANAGEMENT EFFICIENCY Evaluation model 3D model VALUE Based MANAGEMENT Corporate Governance Balanced SCORECARD
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An Empirical Analysis on the Stable Return of Resident Funds
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作者 Jinling He Zixiang Xia +1 位作者 Jingcheng He Xin Gao 《Proceedings of Business and Economic Studies》 2021年第4期128-138,共11页
This paper mainly studies how investors invest in funds to obtain high returns while avoiding risks.Firstly,from the perspective of portfolio investment,this paper introduces the traditional Markowitz mean-variance mo... This paper mainly studies how investors invest in funds to obtain high returns while avoiding risks.Firstly,from the perspective of portfolio investment,this paper introduces the traditional Markowitz mean-variance model and capital asset pricing model(CAPM),then selects four funds from different industries by MATLAB program in Sina Finance and Economics Network for application analysis from which the optimal portfolio point can be obtained under the combination of efficient frontier and capital allocation line.Subsequently,by analyzing the returns of long-term holdings and short-term operations of Noan Growth Hybrid Fund,it is confirmed that long-term holding funds can better cope with the changing market so as to obtain more stable returns.Finally,this paper discusses the dynamic adjustments of asset portfolio.Resident investors are supposed to take into account the market situation and the changes of the fund itself to adjust the holding fund portfolio.Based on the research in this paper,resident investors ought to combine investment funds to diversify risk allocation and make long-term holding plans according to their risk tolerance.At the same time,they should also make appropriate dynamic adjustments when the external environment changes to ensure long-term benefits. 展开更多
关键词 portfolio investment Mean-variance model Long-term investment CAPM Dynamic adjustment
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OFDI投资模式组合、融资约束与企业创新
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作者 林真成 王吟昕 李中源 《上海管理科学》 2023年第2期53-58,共6页
创新是引领发展的第一动力,是经济高质量发展的关键所在。基于2005—2019年上市企业微观数据,分析企业OFDI投资模式组合与企业创新之间的关系,并进一步检验融资约束在其中的调节作用。结果表明:企业OFDI投资模式组合中以并购方式获取的... 创新是引领发展的第一动力,是经济高质量发展的关键所在。基于2005—2019年上市企业微观数据,分析企业OFDI投资模式组合与企业创新之间的关系,并进一步检验融资约束在其中的调节作用。结果表明:企业OFDI投资模式组合中以并购方式获取的子公司数量占比越高,企业创新表现越强。进一步的研究表明,融资约束水平对企业OFDI投资模式组合与创新产出之间的关系起到负向调节作用。同时,异质性融资能力对两者关系产生差异化影响,在OFDI投资模式组合既定的情况下,企业外部融资能力越强,企业创新质量产出水平越高;企业内部融资能力越强,企业创新数量产出水平越高。结论为理解企业对外直接投资创新效应提供了一种新的视角。 展开更多
关键词 ofDI 企业创新 ofDI投资模式组合 融资约束
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基于投资组合高阶矩分析的电力系统灵活性评估 被引量:1
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作者 刘颖杰 陈红坤 +1 位作者 田圆 高鹏 《电力系统保护与控制》 EI CSCD 北大核心 2024年第5期116-127,共12页
针对现有灵活性指标形式主要集中于低阶统计量,仅能反映系统灵活性的平均水平与集中程度,而忽视了灵活性的高阶特征这一问题,引入投资组合高阶矩分析理论对电力系统灵活性进行刻画,以揭示系统灵活性的调节潜力与风险。首先,通过分析投... 针对现有灵活性指标形式主要集中于低阶统计量,仅能反映系统灵活性的平均水平与集中程度,而忽视了灵活性的高阶特征这一问题,引入投资组合高阶矩分析理论对电力系统灵活性进行刻画,以揭示系统灵活性的调节潜力与风险。首先,通过分析投资组合的均值-方差-偏度-峰度模型(mean-variance-skewness-kurtosismodel,MVSK Model),给出了灵活性单元组合的定义,基于多元Copula函数构建考虑空间相关性的灵活性单元概率模型。其次,基于灵活性单元组合的各阶矩建立灵活性评估指标,并给出基于核密度估计与蒙特卡洛模拟的指标计算方法。最后,通过FTS-213测试系统与德国某电网的历史数据对所提指标进行了测算和验证。算例表明所提指标能够反映系统灵活性调节能力的平均水平、稳定程度、潜力与风险,且能量化评估灵活性资源种类与投建地区对系统灵活性的影响,为后续的灵活性资源规划提供理论支持。 展开更多
关键词 电力系统灵活性 投资组合 高阶矩 MVSK模型 COPULA函数 指标评估
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Grey Model of the Investment Portfolio Optimization
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作者 LI QunDept. of Applied Math. , Dalian Univeristy of Technology Dalian 116024, China 《Systems Science and Systems Engineering》 CSCD 2002年第2期143-149,共7页
The theory of investment portfolio is a very important theory in the modern economical system. Based on the feature of the theory, the paper sets up new various kinds of models of investment portfolio, namely grey opt... The theory of investment portfolio is a very important theory in the modern economical system. Based on the feature of the theory, the paper sets up new various kinds of models of investment portfolio, namely grey optimization models. These models are more practical and objective to existing problems. 展开更多
关键词 investment portfolio expected return RISK grey optimization model
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基于TSO-LSTM神经网络的股票收益率均值预测模型及其在智能投资中的应用
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作者 刘和扬 申飞飞 杨柳 《湘潭大学学报(自然科学版)》 CAS 2024年第5期101-111,共11页
根据股票收益的历史数据,建立数据和模型双驱动的智能资产配置系统,指导股民投资实现收益最大化.使用金枪鱼群优化(TSO)算法寻参的长短期记忆(LSTM)神经网络为分布鲁棒优化投资组合模型提供收益率的均值与协方差矩阵,求解更符合实际情... 根据股票收益的历史数据,建立数据和模型双驱动的智能资产配置系统,指导股民投资实现收益最大化.使用金枪鱼群优化(TSO)算法寻参的长短期记忆(LSTM)神经网络为分布鲁棒优化投资组合模型提供收益率的均值与协方差矩阵,求解更符合实际情况的分布鲁棒模型得到投资方案.该模型提出的方案在未来前10 d的收益明显高于直接使用历史均值的分布鲁棒模型,亏损天数少于直接使用历史均值的分布鲁棒模型和平均分配资金的方案.同时该文提出的决策系统随着时间的推移,可以通过更新历史数据重新训练LSTM网络,使得模型保持良好的效果.TSO-LSTM神经网络能有效地抓住股票收益率的历史数据特征,实时动态地为投资者提供良好的投资决策. 展开更多
关键词 LSTM神经网络 分布鲁棒投资组合优化 金枪鱼群优化算法 CVaR模型约束
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基于HMM-SARIMA模型的选股策略——以沪深300医药行业成分股为例
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作者 张骅月 牛艺潼 《工程经济》 2024年第5期13-30,共18页
股票市场变化莫测,股市价格波动比较大,建立科学的模型来分析市场以及股票状态,针对不同的投资策略选择合适的股票组合是有必要的。本文提出了一种基于隐马尔可夫(HMM)模型和时间序列模型的股票状态预测方法,该方法可以有效地分析股票... 股票市场变化莫测,股市价格波动比较大,建立科学的模型来分析市场以及股票状态,针对不同的投资策略选择合适的股票组合是有必要的。本文提出了一种基于隐马尔可夫(HMM)模型和时间序列模型的股票状态预测方法,该方法可以有效地分析股票市场的状态,再针对不同的市场状态对股市价格分别进行预测,两种模型相结合的方法能够有效避免市场波动对单一模型预测结果的影响,最后根据模型的预测结果并针对不同的投资策略为投资者选择合适的股票,从而获得更大的收益。以与样本期不交叉的沪深300指数分行业成分股为样本,综合考虑收益和风险因素,为股票池中的每只股票进行打分,选出最优的投资组合,本文的模型在股市行情不稳定的回溯期内取得了很好的收益效果,这说明将HMM模型与时间序列结合的模型具有一定的稳健性。 展开更多
关键词 HMM模型 时间序列 投资组合 股价预测
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基于Prophet-DCC-GARCH组合模型的国债与股票投资组合VaR估计
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作者 顾邹伟 彭悦珂 申敏 《中阿科技论坛(中英文)》 2024年第11期60-66,共7页
随着经济社会的发展,经济周期波动、市场不确定性加剧,风险值(VaR)的预测迫在眉睫。文章采用风险型的科技股票比亚迪和稳健型的国债的收盘数据,以DCC-GARCH模型为基础,引入Prophet模型,更改DCC-GARCH模型的均值项,考虑节假日、特殊事件... 随着经济社会的发展,经济周期波动、市场不确定性加剧,风险值(VaR)的预测迫在眉睫。文章采用风险型的科技股票比亚迪和稳健型的国债的收盘数据,以DCC-GARCH模型为基础,引入Prophet模型,更改DCC-GARCH模型的均值项,考虑节假日、特殊事件和年周期性、周周期性,构建了Prophet-DCC-GARCH组合模型。该组合模型的预测误差(RMSE)为:比亚迪3.044 959×10^(-4),国债7.760 821×10^(-6)。采用计量经济学方法计算VaR,在置信度为0.95%时,2个头寸的联合风险值为:DCC-GARCH模型0.038 8,Prophet-DCC-GARCH组合模型0.037 0。组合模型中,Prophet模型提取了潜在风险影响因素,所以风险值明显要小。在对多个头寸的风险值进行预测时,考虑其中潜在的影响因素,可以更好地提供VaR预测值,进而为投资者提供更可靠的建议。 展开更多
关键词 投资组合 VaR PROPHET DCC-GARCH 组合模型
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基于非洲秃鹫优化算法的模糊投资组合优化研究
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作者 倪百秀 杨子怡 施明华 《皖西学院学报》 2024年第1期73-79,共7页
实际投资组合中金融资产的收益和风险普遍存在不确定性。引入模糊变量,采用下半方差作为风险度量方式,建立均值-下半方差模糊投资组合优化模型,并采用非洲秃鹫优化算法进行求解。选取2018年1月至2023年1月期间十只股票的周收盘价数据进... 实际投资组合中金融资产的收益和风险普遍存在不确定性。引入模糊变量,采用下半方差作为风险度量方式,建立均值-下半方差模糊投资组合优化模型,并采用非洲秃鹫优化算法进行求解。选取2018年1月至2023年1月期间十只股票的周收盘价数据进行实证研究,并与粒子群优化算法、蝴蝶优化算法、黑猩猩优化算法和鲸鱼优化算法等四种仿生智能优化算法进行比较。研究结果表明,非洲秃鹫优化算法能够有效求解均值-下半方差模糊投资组合优化模型,能为投资者的实际投资决策提供有价值的参考。 展开更多
关键词 模糊投资组合优化 隶属度函数 均值-半方差模型 非洲秃鹫优化算法
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基于GA-FUZZY的投资组合满意度优化研究 被引量:1
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作者 李文峰 周晓东 戴剑勇 《南华大学学报(自然科学版)》 2009年第2期50-54,共5页
在Markowitz均值-方差模型的基础上,利用隶属度函数转化了投资组合预期收益与风险方差的函数关系表达式,构建了在不同模糊目标、模糊约束权重系数下的模糊投资组合集成模型,引入遗传算法有效地解决了投资组合模糊最优满意度决策问题.并... 在Markowitz均值-方差模型的基础上,利用隶属度函数转化了投资组合预期收益与风险方差的函数关系表达式,构建了在不同模糊目标、模糊约束权重系数下的模糊投资组合集成模型,引入遗传算法有效地解决了投资组合模糊最优满意度决策问题.并以我国资本市场三种最基本的金融资产开展实证分析,取得了较好的效果. 展开更多
关键词 投资组合 模糊规划 遗传算法 最大满意度
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ST-metric Estimation of Factor Exposures
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作者 Nadima El-Hassan Anthony Hall Ilknur Tulunay 《Journal of Mathematics and System Science》 2020年第2期33-44,共12页
Non-parametric methods are treasured in data analysis,particularly in finance.ST-metric is a new concept,introduced by Tulunay(2017).It offers non-parametric methods and a new geometric view to data analysis.In that p... Non-parametric methods are treasured in data analysis,particularly in finance.ST-metric is a new concept,introduced by Tulunay(2017).It offers non-parametric methods and a new geometric view to data analysis.In that paper,ST-metric concept has been applied to performance measures of portfolios.In this current paper,we purpose another ST-metric method for finding factor exposures in the five-style-factors model.Here the style factors are value,size,minimum volatility,quality and momentum.The main idea is to find the factor exposures(weights)of the five-factors-model by minimizing the ST-metric between benchmark returns and the constructed factor model returns.We compare ST-metric method with Tracking Error method(TE-method)which is used for factor analysis of major indexes,decomposed into the style factors(tradable via Exchange Traded Funds(ETFs))by Ang et al.(2018).We show that ST-metric method gives better estimation of the factor exposures(weights)than tracking error method,in general,and further how ST-metric values vary with respect to fluctuations.This explains the reason behind the efficiency of the ST-metric method.We support this idea with empirical evidences. 展开更多
关键词 ST metric factor investing modeling multifactor risk models exchange traded fund portfolio management NON-PARAMETRIC NON-NORMALITY optimisation.
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基于马科维茨投资组合模型的深交所最优投资组合研究与实证分析 被引量:1
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作者 吴伟力 赵柳悦 《徐州工程学院学报(自然科学版)》 CAS 2023年第2期17-28,共12页
为减少投资带来的非系统性风险,针对选取的深圳交易所A股ZK、ZC、PA、GY 4只股票,运用马科维茨投资组合模型分析计算,最终发现证券市场的投资规律,并给予散户贴近实际的投资建议.
关键词 马科维茨投资组合模型 股票 无风险资产 风险资产
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基于随机规划的多期投资组合决策研究
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作者 玄海燕 姚存留 +2 位作者 李鸿渐 安蓉 钟嘉毅 《工程数学学报》 CSCD 北大核心 2023年第5期751-762,共12页
最优投资决策是投资者从长远角度出发,在复杂多变的环境中对风险资产进行合理配置,以获得最大的期望效用。研究了在多期投资时收益率不确定条件下的投资决策问题。首先,根据风险资产的历史数据建立ARMA-GARCH模型对资产的未来收益率预测... 最优投资决策是投资者从长远角度出发,在复杂多变的环境中对风险资产进行合理配置,以获得最大的期望效用。研究了在多期投资时收益率不确定条件下的投资决策问题。首先,根据风险资产的历史数据建立ARMA-GARCH模型对资产的未来收益率预测,使用蒙特卡罗模拟法模拟收益率未来可能发生的情形,利用随机取样法搭建情景树。其次,在情景树的基础上,根据随机规划理论将Markowitz提出的均值–方差模型推广到多期。最后,选取中国证券市场上六只股票数据对模型进行实证研究。研究结果发现:情景树在描述不确定性问题上是有效的,提出的模型适用于多期投资,并能够给激进型、稳健型和保守型的投资者提供直观、明确的投资决策指导。 展开更多
关键词 随机规划 多期投资组合 情景树 均值–方差模型 ARMA-GARCH模型
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基于均值-方差模型的移民资金投资组合研究
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作者 刘炳文 姚凯文 +1 位作者 迟旭 王飞龙 《中国农村水利水电》 北大核心 2023年第9期203-207,223,共6页
水电发展是我国能源供给侧结构改革的重要战略举措,但其开发往往带来大量人口迁移,能否利用移民资金妥善安置水库移民关系到区域的可持续发展和社会的和谐稳定。现阶段移民资金的使用主要依据补偿标准和经验,未考虑资金使用效率问题。... 水电发展是我国能源供给侧结构改革的重要战略举措,但其开发往往带来大量人口迁移,能否利用移民资金妥善安置水库移民关系到区域的可持续发展和社会的和谐稳定。现阶段移民资金的使用主要依据补偿标准和经验,未考虑资金使用效率问题。引入市场经济原则,站在移民资金规划者视角,将移民资金使用视为一种投资,根据我国现行的征地补偿移民安置政策,将资金使用方向分为征地补偿、移民安置和后续生计帮扶,按照移民自身受益情况构建判断矩阵,量化不同投资方向的收益和风险,运用投资组合理论,在三类投资均能满足移民最低需求的前提下,以夏普比率为衡量指标,计算出风险水平一定时,收益最大的资金使用方案,为提高移民资金使用效率提供一个新的研究范式。实例分析表明,GB水利枢纽移民资金投资方向大体与移民意愿相符,但后续生计帮扶力度偏低,应调整资金使用方向,保障移民的生计恢复和后续发展。 展开更多
关键词 移民资金 均值-方差模型 投资组合 夏普比率 效率优化
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经济全球化背景下主权财富基金的投资组合分析 被引量:1
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作者 邱小丰 《中国商论》 2023年第10期111-115,共5页
主权财富基金由主权国家政府控制和支配,用于长期投资,作为国际金融体系中的重要一环,在经济全球化背景下正快速发展。我国于2007年成立中国投资有限责任公司,开展国家外汇资金多元化投资业务,为了提高投资效益,开展了主权财富基金投资... 主权财富基金由主权国家政府控制和支配,用于长期投资,作为国际金融体系中的重要一环,在经济全球化背景下正快速发展。我国于2007年成立中国投资有限责任公司,开展国家外汇资金多元化投资业务,为了提高投资效益,开展了主权财富基金投资组合研究。本文先对国内外研究现状进行了纵览,再设定主权财富基金的投资行为模式,构建博弈型模型,将真实数据代入其中,模拟得到投资组合方案,并结合国际热点,与实际投资组合进行比较分析,以期对实际投资实践提供参考。 展开更多
关键词 主权财富基金 投资组合 中投公司 博弈型模型 国民效用
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