Instead of existing methods,a recurrent neural network is conceived to deal with three stages of portfolio management.Mainly,a deterministic annealing neural network is proposed for the approach to portfolio problem,w...Instead of existing methods,a recurrent neural network is conceived to deal with three stages of portfolio management.Mainly,a deterministic annealing neural network is proposed for the approach to portfolio problem,which is a kind of quadratic programming.Finally,through a real example,we verify that the neural network model proposed in this paper is a good tool to solve the portfolio problem.展开更多
This paper addresses evolutionary multi-objective portfolio optimization in the practical context by incorporating realistic constraints into the problem model and preference criterion into the optimization search pro...This paper addresses evolutionary multi-objective portfolio optimization in the practical context by incorporating realistic constraints into the problem model and preference criterion into the optimization search process. The former is essential to enhance the realism of the classical mean-variance model proposed by Harry Markowitz, since portfolio managers often face a number of realistic constraints arising from business and industry regulations, while the latter reflects the fact that portfolio managers are ultimately interested in specific regions or points along the efficient frontier during the actual execution of their investment orders. For the former, this paper proposes an order-based representation that can be easily extended to handle various realistic constraints like floor and ceiling constraints and cardinality constraint. An experimental study, based on benchmark problems obtained from the OR-library, demonstrates its capability to attain a better approximation of the efficient frontier in terms of proximity and diversity with respect to other conventional representations. The experimental results also illustrated its viability and practicality in handling the various realistic constraints. A simple strategy to incorporate preferences into the multi-objective optimization process is highlighted and the experimental study demonstrates its capability in driving the evolutionary search towards specific regions of the efficient frontier.展开更多
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
This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper genera...This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper generalizes Markowitz’s portfolio selection theory and Sharpe’s rule for investment decision. An analytical solution is presented to show how an institu- tional or individual investor can combine Markowitz’s portfolio selection theory, generalized Sharpe’s rule and Value-at-Risk (VaR) to find candidate assets and optimal level of position sizes for investment (dis-investment). The result shows that the gen- eralized Markowitz’s portfolio selection theory and generalized Sharpe’s rule improve decision making for investment.展开更多
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
Decision makers’ choices are often influenced by visual background information. This study uses open-ended equity funds in Taiwan to investigate three well-known optimal portfolio models, including the mean-variance,...Decision makers’ choices are often influenced by visual background information. This study uses open-ended equity funds in Taiwan to investigate three well-known optimal portfolio models, including the mean-variance, maximin, and minimization of mean absolute deviation. The optimal portfolios are then visualized on Decision Balls to assist investors in making investment decisions. By observing the Decision Balls, investors can see the optimal portfolios, compare the optimal weights provided by the different models, view the cluster of funds, and even find substitute funds if preferred funds are not available.展开更多
Background:We investigate whether the success of contrarian investment strategies can be attributed to differences in the relative illiquidity of stocks categorized as value investments versus those categorized as gla...Background:We investigate whether the success of contrarian investment strategies can be attributed to differences in the relative illiquidity of stocks categorized as value investments versus those categorized as glamour portfolios.Methods:Following Lakonishok et al.(J Financ 49:1541–1578,1994),we assess the illiquidity characteristics of portfolios that underlie contrarian investment strategies that are based on the level of stock’s book to market.Results:We find strong evidence that those portfolios characterized as value investments are associated with dramatically greater levels of illiquidity than glamour portfolios.We further demonstrate that strategies based on the illiquidity in the year prior to portfolio formation result in return characteristic of ostensibly contrarian strategies.Conclusions:These results suggest that the higher returns associated with contrarian investment strategies are the result of the higher illiquidity associated with value portfolios and represent compensation that the investor receives for accepting illiquidity.They also suggest that researchers should be cautious before attributing apparent anomalies to behavior-driven expectational errors rather than to other attributes unrelated to behavior,such as illiquidity.展开更多
Sovereign Wealth Funds （SWFs） are generally known as investment funds owned by national governments and financed by the country＇s foreign currency reserves （dollar, euro, and yen）, often through their central ban...Sovereign Wealth Funds （SWFs） are generally known as investment funds owned by national governments and financed by the country＇s foreign currency reserves （dollar, euro, and yen）, often through their central banks or via direct investments. The study investigated the investment strategy of the Temasek Holdings as one of the most successful SWFs which is owned by the government of Singapore. Temasek Holdings was founded in 1974 to manage part of the government＇s revenues. Present turbulent times create a big pressure on healthy investment strategy of the SWFs. But total shareholder return for Temasek since its inception in 1974 has been a healthy 17% compounded annually. The main objective of the paper is to focus on the role of the Temasek Holdings as a company managed on commercial principles with an aim to achieve long-term sustainable returns. The study also analyzed Temasek Holdings＇investment strategy. The study provides answers to questions like： why Temasek is of the most successful SWFs and what is the fund risk management？ Another part of the paper compares investment strategy of the Temasek Holdings with other SWFs. The study has been conducted mainly on the basis of literature survey, secondary information and with using various web sites and research paper. The analysis has been also based on disclosures appearing in the Temasek annual reports over the period from 2008 to 2010.展开更多
In order to improve the performance of higher education in the United States, the Goodgrant Foundation intends to donate a total of $100,000,000 (US 100 million) to an appropriate group of schools per year, for five y...In order to improve the performance of higher education in the United States, the Goodgrant Foundation intends to donate a total of $100,000,000 (US 100 million) to an appropriate group of schools per year, for five years, starting in July 2016. For this, our team puts forward upon an optimal investment strategy, which includes the schools to invest, the investment amount of each school, and the return due to investment, to solve this problem. Our main idea is as follows. First of all, we choose suitable investment school universities in the United States. Secondly, we use Analytic Hierarchy Process to get the rate of return on investment and venture capital. Thirdly, we establish a venture capital return model. Finally, solving the mathematical model ensures the investment amount of each school and the return due to investment. To implement this strategy, first of all, we obtain the candidate school based on students score card. Then, according to the factor analysis, we analyze the factors which mainly affect the choice of school. Secondly, we employ Analytic Hierarchy Process to get the rate of return on investment and capital risk. In the end, we establish a risk return model to get investment amount for each school, amount of risk and return. In order to ensure the minimum risk and the maximum return, we set up a multi objective programming model and solve it by using the constraint method. We get the result that includes the maximum net profit of the investment and risk loss rate. According to statistical analysis, we can get the overall return of net income within five years. Finally, we choose 320 candidate schools and get the investment amount of each school according to the principle of as many schools as possible. We have proved that the foundation will receive a return of more than 295.363 million in the next 5 years. After-verification, our strategy can be directly applied to the investment field and get good results.展开更多
This paper firstly introduces the definition and features of QFII, and then mainly analyzes the QFII＇s portfolio performance and investment yield, as welt as stock market. And at last, it refers to the impacts of QFI...This paper firstly introduces the definition and features of QFII, and then mainly analyzes the QFII＇s portfolio performance and investment yield, as welt as stock market. And at last, it refers to the impacts of QFII＇s companies and supervision systems in China security market. the investment ideas and strategies of QFII in China investment styles and strategies on investors, listed展开更多
This paper deals with illiquidity measurement of stocks on Croatian Stock market. Illiquidity measures used in this paper are daily ratio of absolute stock return to its dollar volume (ILLIQ) and RCT (Relative change ...This paper deals with illiquidity measurement of stocks on Croatian Stock market. Illiquidity measures used in this paper are daily ratio of absolute stock return to its dollar volume (ILLIQ) and RCT (Relative change in turnover). Aim of this paper is to show that illiquidity measure RCT makes clear distinction between liquid and illiquid stocks that should be reflected through investment strategy where investment in RCT based illiquid portfolios outperforms investment in ILLIQ based portfolios and CROBEX index. Research was carried out on eighteen stocks from Zagreb Stock Exchange (ZSE) which are constituents of CROBEX index. Portfolios of liquid and portfolios of illiquid stocks based on results of illiquidity measurement were constructed. Behaviour in terms of return and volatility of these portfolios in following one-year period was observed. Results showed that portfolios formed using RCT as measure of illiquidity constantly outperformed CROBEX index and ILLIQ based portfolios. Returns of RCT based portfolios had lower standard deviation and were more stable than ILLIQ based portfolios in whole period. RCT as a measure of illiquidity produces valuable information on stock liquidity that can be exploited as investment strategy reflecting itself in larger expected returns of RCT portfolios in future period than expected returns of ILLIQ based portfolios and market.展开更多
受政策的改变以及对新兴领域项目投资缺少足够认知的影响,管理者的项目投资行为往往呈现一定的不确定性。针对企业管理者在进行项目组合投资决策时存在一定风险偏好的情况,本文基于信息间隙决策理论(Information Gap Decision Theory,IG...受政策的改变以及对新兴领域项目投资缺少足够认知的影响,管理者的项目投资行为往往呈现一定的不确定性。针对企业管理者在进行项目组合投资决策时存在一定风险偏好的情况,本文基于信息间隙决策理论(Information Gap Decision Theory,IGDT),引入净现值偏差系数对管理者的风险偏好进行描述,构建了考虑投资不确定性的项目组合选择新模型。采用包络约束对投资金额不确定性进行描述,给出风险规避与机会寻求两种策略下的项目组合选择IGDT优化模型,并将其转化成单层规划模型进行求解。通过算例仿真,验证了模型的有效性。结果表明:IGDT优化模型不仅满足了管理者投资的预期净现值要求,而且给出了最优的投资金额与项目选择结果。本文构建模型可以为管理者在项目风险管控和资金管理优化方面提供参考。展开更多
基金Supported by the National Science Foundatin of China (No.79670 0 64)
文摘Instead of existing methods,a recurrent neural network is conceived to deal with three stages of portfolio management.Mainly,a deterministic annealing neural network is proposed for the approach to portfolio problem,which is a kind of quadratic programming.Finally,through a real example,we verify that the neural network model proposed in this paper is a good tool to solve the portfolio problem.
文摘This paper addresses evolutionary multi-objective portfolio optimization in the practical context by incorporating realistic constraints into the problem model and preference criterion into the optimization search process. The former is essential to enhance the realism of the classical mean-variance model proposed by Harry Markowitz, since portfolio managers often face a number of realistic constraints arising from business and industry regulations, while the latter reflects the fact that portfolio managers are ultimately interested in specific regions or points along the efficient frontier during the actual execution of their investment orders. For the former, this paper proposes an order-based representation that can be easily extended to handle various realistic constraints like floor and ceiling constraints and cardinality constraint. An experimental study, based on benchmark problems obtained from the OR-library, demonstrates its capability to attain a better approximation of the efficient frontier in terms of proximity and diversity with respect to other conventional representations. The experimental results also illustrated its viability and practicality in handling the various realistic constraints. A simple strategy to incorporate preferences into the multi-objective optimization process is highlighted and the experimental study demonstrates its capability in driving the evolutionary search towards specific regions of the efficient frontier.
基金Supported by the Key Project of Science and Technology Department of Henan Province(122102210060)
文摘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.
文摘This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper generalizes Markowitz’s portfolio selection theory and Sharpe’s rule for investment decision. An analytical solution is presented to show how an institu- tional or individual investor can combine Markowitz’s portfolio selection theory, generalized Sharpe’s rule and Value-at-Risk (VaR) to find candidate assets and optimal level of position sizes for investment (dis-investment). The result shows that the gen- eralized Markowitz’s portfolio selection theory and generalized Sharpe’s rule improve decision making for investment.
基金Funded by the Foundation of Science Committee of Chongqing (No.2000- 6071)
文摘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.
文摘Decision makers’ choices are often influenced by visual background information. This study uses open-ended equity funds in Taiwan to investigate three well-known optimal portfolio models, including the mean-variance, maximin, and minimization of mean absolute deviation. The optimal portfolios are then visualized on Decision Balls to assist investors in making investment decisions. By observing the Decision Balls, investors can see the optimal portfolios, compare the optimal weights provided by the different models, view the cluster of funds, and even find substitute funds if preferred funds are not available.
文摘Background:We investigate whether the success of contrarian investment strategies can be attributed to differences in the relative illiquidity of stocks categorized as value investments versus those categorized as glamour portfolios.Methods:Following Lakonishok et al.(J Financ 49:1541–1578,1994),we assess the illiquidity characteristics of portfolios that underlie contrarian investment strategies that are based on the level of stock’s book to market.Results:We find strong evidence that those portfolios characterized as value investments are associated with dramatically greater levels of illiquidity than glamour portfolios.We further demonstrate that strategies based on the illiquidity in the year prior to portfolio formation result in return characteristic of ostensibly contrarian strategies.Conclusions:These results suggest that the higher returns associated with contrarian investment strategies are the result of the higher illiquidity associated with value portfolios and represent compensation that the investor receives for accepting illiquidity.They also suggest that researchers should be cautious before attributing apparent anomalies to behavior-driven expectational errors rather than to other attributes unrelated to behavior,such as illiquidity.
文摘Sovereign Wealth Funds （SWFs） are generally known as investment funds owned by national governments and financed by the country＇s foreign currency reserves （dollar, euro, and yen）, often through their central banks or via direct investments. The study investigated the investment strategy of the Temasek Holdings as one of the most successful SWFs which is owned by the government of Singapore. Temasek Holdings was founded in 1974 to manage part of the government＇s revenues. Present turbulent times create a big pressure on healthy investment strategy of the SWFs. But total shareholder return for Temasek since its inception in 1974 has been a healthy 17% compounded annually. The main objective of the paper is to focus on the role of the Temasek Holdings as a company managed on commercial principles with an aim to achieve long-term sustainable returns. The study also analyzed Temasek Holdings＇investment strategy. The study provides answers to questions like： why Temasek is of the most successful SWFs and what is the fund risk management？ Another part of the paper compares investment strategy of the Temasek Holdings with other SWFs. The study has been conducted mainly on the basis of literature survey, secondary information and with using various web sites and research paper. The analysis has been also based on disclosures appearing in the Temasek annual reports over the period from 2008 to 2010.
文摘In order to improve the performance of higher education in the United States, the Goodgrant Foundation intends to donate a total of $100,000,000 (US 100 million) to an appropriate group of schools per year, for five years, starting in July 2016. For this, our team puts forward upon an optimal investment strategy, which includes the schools to invest, the investment amount of each school, and the return due to investment, to solve this problem. Our main idea is as follows. First of all, we choose suitable investment school universities in the United States. Secondly, we use Analytic Hierarchy Process to get the rate of return on investment and venture capital. Thirdly, we establish a venture capital return model. Finally, solving the mathematical model ensures the investment amount of each school and the return due to investment. To implement this strategy, first of all, we obtain the candidate school based on students score card. Then, according to the factor analysis, we analyze the factors which mainly affect the choice of school. Secondly, we employ Analytic Hierarchy Process to get the rate of return on investment and capital risk. In the end, we establish a risk return model to get investment amount for each school, amount of risk and return. In order to ensure the minimum risk and the maximum return, we set up a multi objective programming model and solve it by using the constraint method. We get the result that includes the maximum net profit of the investment and risk loss rate. According to statistical analysis, we can get the overall return of net income within five years. Finally, we choose 320 candidate schools and get the investment amount of each school according to the principle of as many schools as possible. We have proved that the foundation will receive a return of more than 295.363 million in the next 5 years. After-verification, our strategy can be directly applied to the investment field and get good results.
文摘This paper firstly introduces the definition and features of QFII, and then mainly analyzes the QFII＇s portfolio performance and investment yield, as welt as stock market. And at last, it refers to the impacts of QFII＇s companies and supervision systems in China security market. the investment ideas and strategies of QFII in China investment styles and strategies on investors, listed
文摘This paper deals with illiquidity measurement of stocks on Croatian Stock market. Illiquidity measures used in this paper are daily ratio of absolute stock return to its dollar volume (ILLIQ) and RCT (Relative change in turnover). Aim of this paper is to show that illiquidity measure RCT makes clear distinction between liquid and illiquid stocks that should be reflected through investment strategy where investment in RCT based illiquid portfolios outperforms investment in ILLIQ based portfolios and CROBEX index. Research was carried out on eighteen stocks from Zagreb Stock Exchange (ZSE) which are constituents of CROBEX index. Portfolios of liquid and portfolios of illiquid stocks based on results of illiquidity measurement were constructed. Behaviour in terms of return and volatility of these portfolios in following one-year period was observed. Results showed that portfolios formed using RCT as measure of illiquidity constantly outperformed CROBEX index and ILLIQ based portfolios. Returns of RCT based portfolios had lower standard deviation and were more stable than ILLIQ based portfolios in whole period. RCT as a measure of illiquidity produces valuable information on stock liquidity that can be exploited as investment strategy reflecting itself in larger expected returns of RCT portfolios in future period than expected returns of ILLIQ based portfolios and market.
文摘受政策的改变以及对新兴领域项目投资缺少足够认知的影响,管理者的项目投资行为往往呈现一定的不确定性。针对企业管理者在进行项目组合投资决策时存在一定风险偏好的情况,本文基于信息间隙决策理论(Information Gap Decision Theory,IGDT),引入净现值偏差系数对管理者的风险偏好进行描述,构建了考虑投资不确定性的项目组合选择新模型。采用包络约束对投资金额不确定性进行描述,给出风险规避与机会寻求两种策略下的项目组合选择IGDT优化模型,并将其转化成单层规划模型进行求解。通过算例仿真,验证了模型的有效性。结果表明:IGDT优化模型不仅满足了管理者投资的预期净现值要求,而且给出了最优的投资金额与项目选择结果。本文构建模型可以为管理者在项目风险管控和资金管理优化方面提供参考。
