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Author:

Liu Chao (Liu Chao.) (Scholars:刘超) | Xu Junhui (Xu Junhui.) | Zhou Wenwen (Zhou Wenwen.)

Indexed by:

CPCI-SSH

Abstract:

Based on view of information spillover, we construct financial risk spillover index based on method of generalized forecast error variance decomposition and use rolling window to measure risk spillover level of currency market, capital market, real estate market and their sub-markets in China during post crisis era. The results show that the risk spillover effect in China is fluctuant, uncertain and asymmetric, and strong connectedness exists in Chinese financial markets. The interbank trading market, especially the repo market is risk spillover center with the strongest risk spillover effect. However, the bond market receives the most risks from other financial markets. Thus, the government should enhance supervision on interbank trading market, release relevance of financial markets appropriately and improve independence of the bond market to prevent the occurrence of systemic financial risk.

Keyword:

generalized forecast error variance decomposition spillover index systematic financial risk risk spillover financial markets

Author Community:

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

PROCEEDINGS OF THE 9TH (2017) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT

Year: 2017

Page: 215-222

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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