Empirical Analysis of China Price Transmission Mechanism Based on VAR Model with Seasonally Adjusted Data

التفاصيل البيبلوغرافية
العنوان: Empirical Analysis of China Price Transmission Mechanism Based on VAR Model with Seasonally Adjusted Data
المؤلفون: Bao-ping Liu, Ru-xiang Wei, Jun-gang Du
المصدر: 2010 International Conference on Management and Service Science.
بيانات النشر: IEEE, 2010.
سنة النشر: 2010
مصطلحات موضوعية: Index (economics), Granger causality, Cointegration, Price index, Financial economics, Econometrics, Economics, Market price, Price level, Seasonal adjustment, Vector autoregression
الوصف: Based on the China seasonally adjusted monthly chain price indexes, the VAR model has been used in the research on the transmission mechanism of market price. Empirical results show that MPI, PPI, CPI monthly chain index are not smooth series, but with cointegration relationship in China, and a long-run equilibrium relationship exists among them. Then Granger causality test and impulse response function analysis is applied into the VAR model based on them, and the conclusions are as follows: there is a demand-pull characteristic in China price transmission, and the effect of transmission from CPI to PPI is very obvious, but has two months lag, the transmission from PPI to MPI has the same effect. In addition, the impact of transm-ission from CPI to PPI is gradually stable after three months, and the stabilization time of transmission from PPI to MPI is four months. And then the market prices have entered a new equilibrium. The conclusion shows that the market price is influ-enced by demand in current time, the price fluctuations in the consumption area will have an impact and influence on the whole industrial chain price, and the CPI has become the leading indicators in the price fluctuations.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b227d13827b742b6a009209931214cd6
https://doi.org/10.1109/icmss.2010.5577114
رقم الأكسشن: edsair.doi...........b227d13827b742b6a009209931214cd6
قاعدة البيانات: OpenAIRE