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We examine Chinese-US trade flows over the 1994 - 2012 period, and find that, in line with the conventional wisdom, the value of China's exports to the US responds negatively to real renminbi (RMB) appreciation, while import responds positively. Further, the combined empirical price effects on exports and imports imply an increase in the real value of the RMB will reduce China's trade balance. The use of alternative exchange rate measures and data on different trade classifications yields additional insights. Firms more subject to market forces exhibit greater price sensitivity. The price elasticity is larger for ordinary exports than for processing exports. Finally, accounting for endogeneity and measurement error matters. Hence, the purging the real exchange rate of the portion responding to policy, or using the deviation of the real exchange rate from the equilibrium level yields a stronger measured effect than when using the unadjusted bilateral exchange rate.

The offshore renminbi (CNH) exchange rate is the exchange rate of the Chinese currency transacted outside China. We study the CNH exchange rate dynamics and its links with onshore exchange rates. Using a specialized microstructure dataset, we find that CNH is significantly affected by its order flow and limit-order imbalance. The offshore CNH exchange rate has an increasing impact on the onshore rate, and significant predictive power for the official RMB central parity rate. The CNH order flow also affects the onshore RMB exchange rate and the central parity rate. The interactions between variables are likely to be time-varying.

We study the differences of currency misalignment estimates obtained from alternative datasets derived from two International Comparison Program (ICP) surveys. A decomposition exercise reveals that the year 2005 misalignment estimates are substantially affected by the ICP price revision. Further, we find that differences in misalignment estimates are systematically affected by a country's participation status in the ICP survey and its data quality - a finding that casts doubt on the economic and policy relevance of these misalignment estimates. The patterns of changes in the estimated degree of misalignment across individual countries, as illustrated by the BRIC economies, are quite variable

We study the empirical determinants of China's capital flight. In addition to the covered interest differential, our empirical exercise includes a rather exhaustive list of macroeconomic variables and a few institutional factors. Overall, our regression exercise shows that China's capital flight is quite well explained by its own history and covered interest differentials. The other possible determinants offer relatively small additional explanatory power. It is also found that China's capital flight responds differently to the components of covered interest differentials and to the positive and negative components of these variables. The response pattern, however, depends on the choice of data frequency. The general impression is that the monthly results are more intuitive than the quarterly ones.

Since the 2008 global financial crisis, China has rolled out a number of initiatives to actively promote the international role of the renminbi and to denominate more of its international claims away from the US dollar and into the renminbi. This paper discusses the factors shaping the prospects of internationalising the renminbi from the perspective of the currency composition of China's international assets and liabilities. These factors include, among others, underlying valuation and management of the renminbi.

"We evaluate whether the Renminbi (RMB) is misaligned, relying upon conventional statistical methods of inference. A framework built around the relationship between relative price and relative output levels is used. We find that, once sampling uncertainty and serial correlation are accounted for, there is little statistical evidence that the RMB is undervalued, even though the point estimates usually indicate economically significant misalignment. The result is robust to various choices of country samples and sample periods, as well as to the inclusion of control variables. We then update the results using the latest vintage of the data to demonstrate how fragile the results are. We find that whatever misalignment we detected in our previous work disappears in this data set"--National Bureau of Economic Research web site