Research on price game process and wavelet chaos control of three oligarchs’ insurance market in China
نویسنده
چکیده
Based on the actual data, this paper shows Chinese insurance market monopoly status through the Market Concentration Rate, and established the repeated price game model for three oligarchs with delayed decision according to Bertrand model. Discussed the two main goals of insurance companies faced in the game process: the expansion of profit and market share. Through the application of nonlinear dynamics theory, this paper makes the analysis and dynamic simulation of the game model, studies the existence and stability of equilibrium point of the system, reveals the dynamic evolution process of market under the different price adjustment speed and the different concern degree of profit. Then have numerical simulation to the system, and gives the complex dynamic characteristics, such as Lyapunov exponent, strange attractor, sensitivity to initial value. Due to wavelet function has good time-frequency localization ability; this paper introduces different wavelet functions to have the chaos control to the system, results shows that wavelet function has a good convergence effect to the chaotic state of the system. The research results of this paper have very good guidance on macro adjustment and control of the insurance market. Key–Words: Price game, Three oligarchs, Market share, Delayed decision, Chaos control
منابع مشابه
Research on the triopoly dynamic game model based on different rationalities and its chaos control
Based on the earlier research results, and combined with the actual competition in Chinese insurance market, the triopoly dynamic game model is built under the hypothesis that the oligarchs make adaptive decision, delayed bounded rational decision and bounded rational decision respectively. The existence of only Nash equilibrium in the system is analyzed theoretically, and its stability and the...
متن کاملForecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)
The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...
متن کاملAnalysis of implementation of Tradable Green Certificates system in a competitive electricity market: a game theory approach
This paper investigates three models to implement Tradable Green Certificates (TGC) system with aid of game theory approach. In particular, the competition between thermal and renewable power plants is formulated in three models: namely cooperative, Nash and Stackelberg game models. The price of TGC is assumed to be determined by the legislative body (government) which is fixed. Numerical examp...
متن کاملتحلیل و پیشبینی اثرات غیرخطی در بازار نفت
This research aims to introduce an ideal model for forecasting Iranian crude oil price movements. It tries to make an all-out analysis of this energy product. Therefore, we tested the ‘predictability’ hypothesis by using the variance ratio test, BDS test and the chaos series test. Later, a structural analysis is a carried out to investigate possible nonlinear patterns in the series. Lyapunov ex...
متن کاملForecasting Stock Price using Hybrid Model based on Wavelet Transform in Tehran and New York Stock Market
Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...
متن کامل