The Research On Household Financial Multi-objective Decision Based On Assets And Liabilities Management

Household finance is an important emerging area of financial studies. Throughout the study on household finance, there are more correlation analysis and empirical analysis on this area. But the study on household financial such as the nature of family finance, the formation mechanism of household financial assets, the internal mechanism of operation and configuration of financial assets and other financial assets of the situation is less. Therefore, household financial decision problem based on assets and liabilities management is particularly important.At present, the researches on household assets and liabilities management are less, and most of them are qualitative research. In terms of assets and liabilities management research, the main technical approach embodied in controlling interest rate risk, including cash flow test method, cash flow matching, immunization theory and dynamic financial analysis. However, there are some limitations of these methods in practice. Therefore, the author plans to build a multi-objective decision model based on assets and liabilities management, considering the family assets and solvency target goals to improve the limitations of existing single target models; and introduces the concept of random variable, replacing the existing literature which receives the assets return as determined value. In the analysis of decision-making, the paper uses a combination of qualitative and quantitative methods to make forecasts more scientific.The example of the results show that household can simultaneously achieve the objective of maximizing income assets solvency and reserve balance target configuration. Furthermore, by comparing the actual data, the results show that family assets return is higher than the actual value by optimization model, but the household solvency lower than the actual value, which indicates that the improved model plays a optimization role in assets and liabilities management decisions.