Global Financial Planning Education Standards

Financial planning may not meet all the accepted criteria of traditional professions such as divinity and law, it does, however, fit the post-modernist view of professions characterized by the role played by professional associations. The hallmark of a profession is the presence of a common body of knowledge and it can be claimed that a theoretical body of knowledge for the ＂financial planning profession＂ has always existed, although it has only been in recent times that agreement has been reached on a common understanding of the theoretical basis of the financial planning profession. This common body of knowledge is the basis upon which the Financial Planning Standards Board [FPSB] is attempting to develop a global curriculum as part of the certification process for financial planners. The FPSB has developed a curriculum framework to be applied by its affiliate members to ensure consistency in global education standards. A review of Certified Financial Planner （CFP） certification in Australia, China, India and the United States exposes differences in how this is approached. The Intemational Organization for Standardization [ISO] has also emerged as another forum in which global financial planning education standards have been set. Although the FPSB＇s global financial planning education standards has a high degree of compatibility with the ISO standard, the ISO standard has largely remained as a shelf reference.

Critical Path in Probabilistic Network Model for Financial Planning

In this paper, a probabilistic network model for financial planning is proposed. The optimum value of the objective function of the model is evaluated by its expected value. However,calculating the expected argue of optimum argue is NP-hard. In the paper, the concept of critical path is given, and the method locating the expected solution to the unit cash now problem is provided.

MAHIS-based analysis and design of financial investment planning system

In financial investment planning,a large number of components that interact in varying and complexways are involved.This leads to complex behavior that is difficult to understand,predict and manage.Asingle intelligent technique can not solve the complicated and elaborate investment planning problems.Itis necessary to study those problems synthetically by combining the multiple intelligent techniques.Weemployed fussy algorithms,genetic algorithms,etc.to solve complicated financial portfolio managementin this paper.We analyse and design an agent-based hybrid intelligent system by following the methodolo-gy for constructing agent-based hybrid intelligent system(MAHIS).The system starts with the financialrisk tolerance evaluation based on fussy algorithms.Asset allocation,portfolio selections,interest predic-tions,and ordered weighted averaging can be conducted by using hybrid intelligent techniques.The plan-ning agent in the system can easily access all the intelligent processing agents,including the agents of fi-nancial risk tolerance assessment,asset allocation,portfolio selection,interest prediction,and decisionaggregation.Overall system robustness is facilitated.

A Financial Health Plan

After years of financial restructuring, China still has a long way to go China is certainly on solid financial footing, but the country’s top