China's GDP growth slowdown and a surge in global financial market volatility could both adversely affect an already weak global economic recovery. To quantify the global macroeconomic consequences of these shocks, we employ a GVAR model estimated for 26 countries/regions over the period 1981Q1 to 2013Q1. Our results indicate that (i) a one percent permanent negative GDP shock in China (equivalent to a one-off one percent growth shock) could have significant global macroeconomic repercussions, with world growth reducing by 0.23 percentage points in the short-run; and (ii) a surge in global financial market volatility could translate into a fall in world economic growth of around 0.29 percentage points, but it could also have negative short-run impacts on global equity markets, oil prices and long-term interest rates.

After many years of rapid expansion, China’s growth is slowing to more sustainable levels and is rebalancing, with consumption becoming the main growth driver. This transition is likely to have negative effects on its trading partners in the near term. This paper studies the potential spillovers to the ASEAN-5 economies through trade, commodity prices, and financial markets. It finds that countries with closer trade linkages with China (Malaysia, Singapore, and Thailand) and net commodity exporters (Indonesia and Malaysia) would suffer the largest impact, with growth falling between 0.2 and 0.5 percentage points in response to a decline in China’s growth by 1 percentage point depending on the model used and the nature of the shock. The impact could be larger if China’s slowdown and rebalancing coincides with bouts of global financial volatility. There are also opportunities from China’s rebalancing, both in merchandise and services trade, and there is preliminary evidence that some ASEAN-5 economies are already benefiting from these trends.

Although China’s much-needed transition to a new growth path is proceeding broadly as expected, the transition is still fraught with uncertainty, including regarding the Chinese authorities’ ability to achieve a smooth rebalancing of growth and the extent of the attendant slowdown in activity. Thus, in the short run, the transition process is likely to entail significant spillovers through trade and commodities, and possibly financial channels. This note sheds some light on the size and nature of financial spillovers from China by looking at the impact of developments in China on global financial markets, with a particular emphasis on differentiation across asset classes and markets. The note shows that economic and financial developments in China have a significant impact on global financial markets, but these effects reflect primarily the central role the country plays in goods trade and commodity markets, rather than China’s financial integration in global markets and the direct financial linkages it has with other countries.

The book is based on the research concerning China’s National Balance Sheet (NBS) which is conducted by NIFD, the unique research groups in China focusing on NBS. The relative data have been quoted by the IMF, Chinese government sectors, influential investment banks at home and abroad. This book offers readers a unique edited work that systematically presents solutions to manage financial risk in the context of the current situation in China.

Until recently, China has been the leading contributor to global economic growth and—since the recent global financial crisis—a stabilizing driver of its evolution. However, as China recently began to rebalance its economy away from investment and exports and toward consumption, its GDP growth slowed significantly—partly reversing the country’s contribution to global output and trade growth—and is expected to continue to decline gradually over the medium term. There is little consensus regarding the consequences of a China’s growth slowdown for the rest of the world, with some arguing that a significant slowdown in China may have large implications and possibly lead to a worldwide recession if the “rebalancing” process is not well managed, and others suggesting that even a significant slowdown in China is unlikely to have large global effects, as its role in the world economy is still limited This note contributes to the ongoing debate by analyzing how growth shocks in China affect particular regions and country groups and how the impact and key transmission channels of these growth shocks have increased over time. It finds that historically, the average impact of growth shocks in China on global output has been statistically significant but limited, but since the early 2000s, the magnitude of spillovers has significantly increased. Trade linkages remain the main transmission channels, with larger effects for net commodity exporters and countries mostly exporting manufacturing goods. Also, spillover effects tend to be larger during periods of high global uncertainty and have been positively associated with an increase in the share of industry in total value in China, which suggests an important role of the “rebalancing” process.

We study volatility connectedness effects and market integration among the China's five financial markets: stock, real estate, bond, commodity futures and foreign exchange (currency). We use several measures of market connectedness to assess the degree of volatility connectivity shocks across China's five financial markets and its implication for market integration via linear and nonlinear Granger causality analysis. We also conduct impulse responses function analysis to obtain fresh insights into the transmitting mechanism of the financial market movements within the Chinese economy during the China stock market crash period. Our results indicate that the five China's major financial markets are not strongly integrated. Over the full study period, the commodity futures market is the largest net “sender” of volatility connectedness shocks to other markets, followed by the stock market and the FX market. In contrast, the bond and real estate markets are the net “recipients” of volatility connectedness shocks. The five China's financial markets influenced and has been influenced though their non-linear causal linkages between the respective net total directional connectedness indices, implying that the markets examined in this study are relatively inefficient. Finally, during the China stock market crash period, stock and real estate reacted with similar patterns and larger positive or negative responses to shocks. In contrast, bond and commodity futures appear to have milder levels of shocks response and fluctuate with less magnitudes over time.