Simulation and Forecasting of Financial Industry Development Based on ADGA-BP Model

Abstract

Abstract:

In order to simulate and forecast the development trend of financial industry under new normal multi-objective conditions, this paper constructs an ADGA-BP neural network model based on three objectives:stable economic growth, economic structure optimization and innovation driving as well as the variables underlying the development speed and quality of financial industry. A sensitivity analysis of the three objectives in 2016 shows that the speed of financial development is most affected by economic structure optimization, secondly by economic stability growth, and least by innovation driving. However, the quality of financial industry development is affected by the three objectives to an opposite extent. The prediction of 2017-2019 results show that the speed of financial development will greatly slow down, but the quality will gradually improve.

Key words: financial industry, multi-objective, Adaptive Genetic Algorithm, BP Neural Network, stimulation

Zhang Pinyi, Liang Si. Simulation and Forecasting of Financial Industry Development Based on ADGA-BP Model[J]. , 2019, 31(12): 49-60.

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