Research On The Early Warning To Investment Risks Of Occupational Pension Funds

When the task of the old-age security becomes more and more difficult, as the pillar of China's old-age security system, known as the "nourishing blood money", occupational pension fund is playing quite an important role in people's life. It's security and intergrity is directly related to the millions of people's immediate interests, to the old-age security system's multi-storey building, to the social stability. Therefore, how to manage and control occupational pension fund's risk, especially in the areas of investment risks, will become a key concern. Because of its strong effect in risk control, early warning supports occupational pension fund to make effect under a lower risk.On the basis of in-depth research on occupational pension fund's invest risk factors, this thesis builds an early warning index system. According to the economic warning principle, this paper constructs an early warning system for occupational pension fund's invest risk which consists of information system/ index system/ forecasting system/ alarm system and solution system. It explains how the system operate at the same time.After the mainstream of the foreign methods of warning, this paper established an early warning model based on the BP neural network. Then using the metwork to simulate the early warning process in Matlab, the result proves the feasibility of the model.