Volume-5 Issue-6


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Volume-5 Issue-6, June 2018, ISSN: 2319–6386 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.

Page No.

1.

Authors:

Cong Li, Hongguo Sun

Paper Title:

Research on the Interactive Relationship between China's Foreign Exchange Reserves, CPI, Money Supply, and Foreign Investment Based on VAR Model

Abstract: Based on the study of foreign exchange reserves at home and abroad, this paper selects the monthly sample data of China's foreign exchange reserves, CPI, money supply, and foreign investment from 2008/1- 2018/3 (data from the National Bureau of Statistics of China).In order to analyze the potential interaction between China's foreign exchange reserves and CPI, money supply, and foreign investment, we try to use ADF unit root test, explore the co-integration relationship between data, and establish VAR models.

Keywords: Foreign Exchange Reserve, CPI, ADF Unit Root, VAR Model, Impulse Response Function.

References:

  1. Wang yongzhong. China's Foreign Exchange Reserve Investment: Current Situation, Risks and Countermeasures [J]. China Road Reality and Future, 2013(00): 69-86.
  2. Yan Suxian, Zhang Jianqiang. Research on Structure Risk of China's Foreign Exchange Reserve Exchange Rate-An Empirical Study Based on VAR-GARCH Model [J]. Journal of Hebei University of Economics and Trade, 2012, 33(01): 25-34.
  3. Chen Biqiong, He Yan. Study on the dynamic transmission mechanism of China's foreign exchange reserves and CPI fluctuations [J]. International Economics and Trade Research, 2009, 25(05): 69-74.
  4. Fu Su Ying. China's foreign exchange reserves rose for 11 consecutive months at the end of last year to reach 3.14 trillion US dollars [N].securities daily 2018-01-08 (A01).
  5. Yang Chao. Analysis of the Problems and Countermeasures of China's Foreign Exchange reserves [J]. National Circulation Economy, 2018(02):14-15.
  6. Cui Gen Li, Wang Pin, Wang Xiang. Study on the Influencing Factors of China's Reasonable Foreign Exchange Reserves under the New Normal: An Empirical Study Based on SVAR Model [J]. Journal of Yi Chun University, 2017, 39(10):41-47.

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2.

Authors:

Shichao Xiong, Li Tan

Paper Title:

Analysis and Forecast of Consumer Price Index

Abstract: consumer price index (CPI) has become a hot term that has been paid attention to by the public. It is a macroeconomic index which reflects the price level of consumer goods and service items that households generally buy. An economic model is established to analyze this model to understand and understand the influencing factors of consumer price index. In this paper, the change of consumer price index is analyzed by linear regression method.

Keywords: Consumer Price Index; Linear Regression Analysis: Eviews; Forecast

References:

  1. Luan Huide. Real-time monitoring of consumer price index-based on seasonally adjusted method [J]. Economic Science, 2007, vol. 292: 59-67.
  2. Li Tsung-kang, he Yannan. Empirical Analysis and Prediction on the influencing factors of CPI in China [J]. Finance and Economics (academic Edition, 2011 / 6: 32-33).
  3. Jia Liwen, Scheintana, Zhang Xiumei. Study on the effect of resident consumption level on per capita disposable income-based on quintile regression model [J]. Prices in China, 2015: 13-16.
  4. Zhang Xurong, Yuan Zhihuan. The grey model is used to predict the change trend of consumer price index in China [J]. Pay taxes, 2018.

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