Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stochastic system is applied to describe and investigate the fluctuations of stock price changes in a stock market, and a stock price model is developed by the finite-range contact process of the statistical physics systems. , the scaling behaviors of the return intervals for SSE Composite Index (SSE) and the simulation data of the model are investigated and compared. The database is from the index of SSE in the 6-year period for every 5 minutes, and the simulation data is from the finite-range contact model for different values of the range R. For different values of threshold θ, the statistical analysis shows that the probability density function Pθ(τ) of the return intervals τ for both SSE and the simulation data have similar scaling form, that is $P_{\theta}(\tau) = {\bar{\tau}}^{-1}h(\tau\/\bar{\tau})$ ($\bar{\tau}$ is the mean return interval), where the scaling function h(x) can be approximately fitted by the function h(x) = ωe-a(ln x)γ, and ω, a, γ are three parameters. Further, with different values of R and θ, the statistical comparison of SSE Composite Index and simulation data are given.
['Junhuan Zhang', 'Jun Wang', 'Jiguang Shao']
I am writing a research paper on a idea FINITE-RANGE CONTACT PROCESS ON THE MARKET RETURN INTERVALS DISTRIBUTIONS
[{"from": "human", "value": "I am writing a research paper on a idea FINITE-RANGE CONTACT PROCESS ON THE MARKET RETURN INTERVALS DISTRIBUTIONS"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stochastic system is applied to describe and investigate the fluctuations of stock price changes in a stock market, and a stock price model is developed by the finite-range contact process of the statistical physics systems. , the scaling behaviors of the return intervals for SSE Composite Index (SSE) and the simulation data of the model are investigated and compared. The database is from the index of SSE in the 6-year period for every 5 minutes, and the simulation data is from the finite-range contact model for different values of the range R. For different values of threshold \u03b8, the statistical analysis shows that the probability density function P\u03b8(\u03c4) of the return intervals \u03c4 for both SSE and the simulation data have similar scaling form, that is $P_{\\theta}(\\tau) = {\\bar{\\tau}}^{-1}h(\\tau\\/\\bar{\\tau})$ ($\\bar{\\tau}$ is the mean return interval), where the scaling function h(x) can be approximately fitted by the function h(x) = \u03c9e-a(ln x)\u03b3, and \u03c9, a, \u03b3 are three parameters. Further, with different values of R and \u03b8, the statistical comparison of SSE Composite Index and simulation data are given."}]