Chinese Divisia Monetary Index and GDP Nowcasting

被引:13
作者
Barnett, William A. [1 ,2 ]
Tang, Biyan [1 ]
机构
[1] Univ Kansas, Lawrence, KS 66045 USA
[2] Ctr Financial Stabil, New York, NY 10036 USA
关键词
China; Divisia monetary index; Borrowing cost of money; Nowcasting; Real GDP growth rate; Dynamic factor model; Regime switch; NUMBER; MODELS;
D O I
10.1007/s11079-016-9406-z
中图分类号
F [经济];
学科分类号
02 ;
摘要
Since China's enactment of the Reform and Opening-Up policy in 1978, China has become one of the world's fastest growing economies, with an annual GDP growth rate exceeding 10 % between 1978 and 2008. But in 2015, Chinese GDP grew at 7 %, the lowest rate in 5 years. Many corporations complain that the borrowing cost of capital is too high. This paper constructs Chinese Divisia monetary aggregates M1 and M2, and, for the first time, constructs the broader Chinese monetary aggregates, M3 and M4. Those broader aggregates have never before been constructed for China, either as simple-sum or Divisia. The results shed light on the current Chinese monetary situation and the increased borrowing cost of money. GDP data are published only quarterly and with a substantial lag, while many monetary and financial decisions are made at a higher frequency. GDP nowcasting can evaluate the current month's GDP growth rate, given the available economic data up to the point at which the nowcasting is conducted. Therefore, nowcasting GDP has become an increasingly important task for central banks. This paper nowcasts Chinese monthly GDP growth rate using a dynamic factor model, incorporating as indicators the Divisia monetary aggregate indexes, Divisia M1 and M2 along with additional information from a large panel of other relevant time series data. The results show that Divisia monetary aggregates contain more indicator information than the simple sum aggregates, and thereby help the factor model produce the best available nowcasting results. In addition, our results demonstrate that China's economy experienced a regime switch or structure break in 2012, which a Chow test confirmed the regime switch. Before and after the regime switch, the factor models performed differently. We conclude that different nowcasting models should be used during the two regimes.
引用
收藏
页码:825 / 849
页数:25
相关论文
共 46 条
[1]  
Anderson R., 1997, Federal Reserve Bank St, Louis Review, P53
[2]  
Anderson R.G., 2011, Federal Reserve Bank of St. Louis Review, V83, P51
[3]  
Anderson RichardG., 1997, FED RESERVE BANK ST, V79, P31
[4]   Short-term forecasts of euro area GDP growth [J].
Angelini, Elena ;
Camba-Mendez, Gonzalo ;
Giannone, Domenico ;
Reichlin, Lucrezia ;
Ruenstler, Gerhard .
ECONOMETRICS JOURNAL, 2011, 14 (01) :C25-C44
[5]  
[Anonymous], 1977, NEW METHODS BUS CYCL
[6]  
[Anonymous], 1967, EC INF THEORY
[7]  
Arnostová K, 2011, FINANC UVER, V61, P566
[8]   Real-Time Measurement of Business Conditions [J].
Aruoba, S. Boragan ;
Diebold, Francis X. ;
Scotti, Chiara .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2009, 27 (04) :417-427
[9]   Bridge models to forecast the euro area GDP [J].
Baffigi, A ;
Golinelli, R ;
Parigi, G .
INTERNATIONAL JOURNAL OF FORECASTING, 2004, 20 (03) :447-460
[10]   Determining the number of factors in approximate factor models [J].
Bai, JS ;
Ng, S .
ECONOMETRICA, 2002, 70 (01) :191-221