Title :
Stability analysis of price system based on stochastic model
Author :
Guo, Jialiang ; Wang, Hongli ; Han, Hongchen
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
Price system was analyzed by a nonlinear stochastic dynamic model with the supply and demand factors. This model converged to a process in probability. Then the stability of the system was analyzed by the result of drift coefficient and diffusion coefficient of the process. Numerical simulation results of the stationary probability density with different conditions were shown. It can be concluded that the stability of the system varied as the parameters varied. Finally, the influence of parameters on the stochastic bifurcation was analyzed.
Keywords :
inflation (monetary); numerical analysis; pricing; stability; stochastic processes; diffusion coefficient; drift coefficient; nonlinear stochastic dynamic model; price system; stability analysis; stationary probability density; stochastic bifurcation; supply and demand factors; Bifurcation; Costs; Nonlinear dynamical systems; Nonlinear equations; Numerical simulation; Stability analysis; Stochastic processes; Stochastic resonance; Stochastic systems; Supply and demand; Price system; bifurcation; numerical simulation; stochastic stability;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344594