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- W4210655861 abstract "This paper uses complex network theory and Granger causality method to construct Granger Causality Network among price indices (PIGCN), specifically based on crude oil price and China’s domestic price index from a systematic perspective and provides a statistical physical method to analyze conduction fluctuations. This paper selects four typical price indices in China, including 36 sub price indices as samples for empirical research. Through the analysis of the PIGCN structure, we have analyzed the volatility transmission path of the international crude oil price and Chinese domestic price index, and further revealed the dynamic relationship among the price indices. Also, we have put forward some policy recommendations to better monitor the spread of price fluctuation risks." @default.
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- W4210655861 date "2022-01-01" @default.
- W4210655861 modified "2023-09-30" @default.
- W4210655861 title "Analysis on the Transmission of International Oil Price to China’s Price Index--Based on Granger Causality Network" @default.
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- W4210655861 doi "https://doi.org/10.1016/j.procs.2022.01.162" @default.
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