China’s stock market imposes various trading restrictions such as daily price limits and trading suspension rules, which are intended to stabilize the market during turmoil. During China’s stock market crash in the summer of 2015, these trading restrictions made many highly valued stocks non-tradable and consequently caused mutual funds facing redemption pressure or with precautious concerns to sell other tradable stocks, exacerbating their price drops.
To what extent do political relations between countries affect their economic exchange? Using evidence of China’s relations with other major powers during the period of 1990 to 2013, Yingxin Du, Jiandong Ju, Carlos D. Ramirez, and Xi Yao point out the time-aggregation bias in the existing empirical research and provide insights on the relationship between political shocks and trade.
Shadow banking in China includes an important role for Banks’ Shadow in the credit money creation process, which poses challenges to monetary policy regulation and financial risk management. I urge regulators to closely track the evolution of various shadow banking channels both on- and off-balance sheet. To strengthen supervision, separate macro-prudential regulation tools, such as asset reserves and risk reserves, are needed for Banks’ Shadow and Traditional Shadow Banking, respectively.
In sharp contrast with the market-and-disclosure based system in the US, IPOs in China are subject to strict regulatory rationing and control. We investigate the pricing implications of China’s IPO regulations for its publicly listed companies. We find that these regulations will give rise to significant market frictions with economic consequences for the prices, returns, and even investment decisions of China’s publicly listed companies.
We document that since December 2015 the People’s Bank of China (PBC) has followed a “two-pillar” exchange rate policy that aims to achieve both stability and flexibility. Based on a no-arbitrage model and options price data we estimate the credibility of the policy as well as its impact on the RMB/USD exchange rate. The model was able to correctly forecast the end of the two-pillar policy in May 2017.