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Author:

Liu, Chao (Liu, Chao.) (Scholars:刘超) | Xu, Junhui (Xu, Junhui.) | Ma, Yujie (Ma, Yujie.) | Wang, Chao (Wang, Chao.)

Indexed by:

CPCI-SSH

Abstract:

Inflation is a permanent topic in macroeconomic field and an important issue related to social and political stability. Managing inflation expectations and easing inflationary pressures is also an important problem that macro-economy suffering in China recent years. Therefore, it is more critical to explore the internal operation mechanism of inflation to forecast and control it in essence. Thus, based on system science finance theory, we use methods of correlation dimension and largest lyapunov exponent to examine the chaotic characteristic of inflation in China. The results show that the inflation system in China is chaotic, there are about two factors determining its operation, which reflects the complex operation mechanism of price in commodity markets; the predictable time of inflation fluctuation tendency is approximately 11.29 months.

Keyword:

Chaos Inflation Largest lyapunov exponent Monetary policy

Author Community:

  • [ 1 ] [Liu, Chao]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Chao]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Liu, Chao]Modern Mfg Ind Dev Res Base Beijing, Beijing 100124, Peoples R China
  • [ 4 ] [Xu, Junhui]Modern Mfg Ind Dev Res Base Beijing, Beijing 100124, Peoples R China
  • [ 5 ] [Ma, Yujie]Modern Mfg Ind Dev Res Base Beijing, Beijing 100124, Peoples R China
  • [ 6 ] [Wang, Chao]Modern Mfg Ind Dev Res Base Beijing, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 刘超

    [Liu, Chao]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China;;[Liu, Chao]Modern Mfg Ind Dev Res Base Beijing, Beijing 100124, Peoples R China

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Source :

INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT INNOVATIONS (ICEMI 2017), VOL 1, ISSUE 1

Year: 2017

Page: 226-228

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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