The paper present the fuzzy logic expert system called MADSYS for an investor＇s portfolio allocation by financial asset classes. MADSYS system will be used in the interface agent （agents） of multi-agent investment ...The paper present the fuzzy logic expert system called MADSYS for an investor＇s portfolio allocation by financial asset classes. MADSYS system will be used in the interface agent （agents） of multi-agent investment management information system. One of the principal tasks of the multi-agent system is to help an investor to make investment decisions and to provide appropriate investment proposals according to the investor＇s profile. From MADSYS depends a lot of things, namely the multi-agent investment management information system accuracy, proposed investment decisions, the right portfolio allocation of financial assets, reliability and investor satisfaction. The usage of MADSYS system in the multi-agent system makes it more intellectual, i.e. the system will be able to adjust automatically to the changing of investor profile. The MADSYS system may be tried online at the following address：www.sprendimutechnologij os.lt/webapp.展开更多
Financial decision-making is the central link of enterprise financial management. The prevalent theory of financial decision-making is ＂capital structure＂. This paper makes a new explanation of ＂capital structure＂...Financial decision-making is the central link of enterprise financial management. The prevalent theory of financial decision-making is ＂capital structure＂. This paper makes a new explanation of ＂capital structure＂, which is ＂financial contract structure＂ based on interacts among stakeholders. It developed the intension and extension of＂capital structure＂.展开更多
Both necessary and sufficient maximum principles for optimal control of stochastic systemwith random jumps consisting of forward and backward state variables are proved.The control variableis allowed to enter both dif...Both necessary and sufficient maximum principles for optimal control of stochastic systemwith random jumps consisting of forward and backward state variables are proved.The control variableis allowed to enter both diffusion and jump coefficients.The result is applied to a mean-varianceportfolio selection mixed with a recursive utility functional optimization problem.Explicit expressionof the optimal portfolio selection strategy is obtained in the state feedback form.展开更多
文摘The paper present the fuzzy logic expert system called MADSYS for an investor＇s portfolio allocation by financial asset classes. MADSYS system will be used in the interface agent （agents） of multi-agent investment management information system. One of the principal tasks of the multi-agent system is to help an investor to make investment decisions and to provide appropriate investment proposals according to the investor＇s profile. From MADSYS depends a lot of things, namely the multi-agent investment management information system accuracy, proposed investment decisions, the right portfolio allocation of financial assets, reliability and investor satisfaction. The usage of MADSYS system in the multi-agent system makes it more intellectual, i.e. the system will be able to adjust automatically to the changing of investor profile. The MADSYS system may be tried online at the following address：www.sprendimutechnologij os.lt/webapp.
文摘Financial decision-making is the central link of enterprise financial management. The prevalent theory of financial decision-making is ＂capital structure＂. This paper makes a new explanation of ＂capital structure＂, which is ＂financial contract structure＂ based on interacts among stakeholders. It developed the intension and extension of＂capital structure＂.
基金supported by the National Basic Research Program of China (973 Program) under Grant No.2007CB814904the National Natural Science Foundations of China under Grant Nos.10921101 and 10701050the Natural Science Foundation of Shandong Province under Grant Nos.JQ200801 and 2008BS01024
文摘Both necessary and sufficient maximum principles for optimal control of stochastic systemwith random jumps consisting of forward and backward state variables are proved.The control variableis allowed to enter both diffusion and jump coefficients.The result is applied to a mean-varianceportfolio selection mixed with a recursive utility functional optimization problem.Explicit expressionof the optimal portfolio selection strategy is obtained in the state feedback form.
