Title
A New Credit Spread to Predict Economic Activities in China.
Abstract
In recent years, the relationship between bond spreads and macro economy has been studied extensively by economists in western countries. However, few attentions were paid on this topic in China. This essay regards Chinese bond market as a complex system and constructs bond indices for China with the bottom-up approach. The authors use the data of 3,205 non-financial corporate bonds from February 2010 to October 2017 and construct a new spread noted as the PE_SOE spread. The authors find that the PE_SOE spread has a negative impact on economic activities and has the best predictive ability at short-run forecasting horizons, owing to the institutional superiority of the state-owned enterprises in China. The Treasury bond yields are found to have the best predictive ability at long-run horizons. Both spread shock and Treasury yield shock could lead to deflation and declines in economic activities, and the Treasury yield shock has a more severe and persistent impact on the economy due to the financial accelerator mechanism. PE_SOE spread is proved to be a better indicator for Chinese corporate bond market and can be widely used not only in future Chinese economic studies, but also for Chinese government’s macroeconomic monitoring and warning.
Year
DOI
Venue
2019
10.1007/s11424-019-8033-3
Journal of Systems Science and Complexity
Keywords
Field
DocType
Chinese bond market, corporate bond spreads, credit spreads, financial accelerator, private enterprises, state-owned enterprises
Bond market index,Bond,Treasury,Mathematical optimization,China,Bond market,Monetary economics,Deflation,Mathematics,Corporate bond,Financial accelerator
Journal
Volume
Issue
ISSN
32
4
1009-6124
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Lei Wang157746.85
Changhong Nie200.34
Shouyang Wang32396219.80