Study Of Dynamic Behavior In Complex Corporate Financial System

Company is an important core unit of economic operation in an economy made up of households,companies,governments and foreign sectors.However,the corporate financial system will exhibit some complex dynamic phenomena and effects that are difficult to explain by traditional financial theories,such as leverage effect,momentum effect,resonance and collapse.Therefore,introducing the idea of statistical physics and complex system study financial physics and Bayesian analysis for the complex dynamics behavior of financial competition and stock price in the financial system of a company.Based on the stochastic predator-prey model and the Heston model,this paper further constructs a dynamic model to describe the financial competition of a company and the change of its stock price in the market.Bayesian and trapezoidal integral parameter estimation methods are presented for the proposed model and an good agreement can be observed between proposed model and the actual characteristics after comparing the proposed model with the actual corporate financial data.Therefore,based on the comparing stochastic simulation with empirical,we further discuss the phenomena of coherent resonance and escape behavior in complex corporate finance systems from two aspects of the internal finance of the company and its market share price in complex companies.In the first part of the study,we employed the coefficient of variation(CV)and characteristic correlation time(CCT)of financial physics to analyze the dynamic phenomenon of coherent resonance in corporate finance.(1)We proposed a stochastic corporate financial competition model based on the stochastic predatorprey model from the perspective of corporate internal finance.Complex dynamic behaviors,such as peak noise death,coherent resonance,anti-coherent resonance phenomenon,and critical phenomenon of resonance enhancement and inhibition,are observed according to the stochastic simulation and empirical data.Furthermore,it is found that the proposed financial competition model is in good agreement with the actual financial data of Chinese enterprises by empirical comparison of A-share financial and proposal model.(2)We discussed the coherent resonance between stock market returns and fluctuations by introducing the Heston model to measure stock market returns and fluctuations from the perspective of listed stock price.we proposed a Bayesian parameter estimation method for the proposed model based on the csi 300 index data and Bayesian method and realized volatility.Thus,according to the stochastic simulation of estimated parameters,the complex dynamic behaviors,such as coherent resonance,inverse coherent resonance and critical phenomena in the stock market,can also be observed and it can be found that the coherent resonance behavior has a strong correlation with the efficiency of the stock market.In the second part,we studied the escape phenomenon in corporate finance and further discussed the system stability.(1)From the perspective of corporate internal finance,a dual-stochastic corporate financial competition model is built considering the influence of multi-noise.Besides,escape time is introduced to measure the financial stability and life cycle of the company.The phenomenon of noise enhancement stability can be observe based on the stochastic simulation of Bayesian estimation parameters.In addition,the existence of optimal initial value,system parameters and noise intensity can make the system be more stable,which implied the existence of the optimal initial financial condition,operating capacity and system risk intensity of the company can make the company's viability to be maximum.(2)From the perspective of listed stock price,we analyzed the effect of information time delay on herd behavior based on delayed Heston model and escape behavior.Bayesian method of delayed Heston model is proposed and Bayesian parameters of the model are estimated with the csi 300 index data.Based on the Bayesian parameter estimation results,the price return and fluctuation evolution of the market are simulated and the absolute deviation of the average residence time of positive return and negative return is proposed to measure the herd behavior of the financial market.Moreover,information time delay can be observed to inhibit herd behavior.