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Leverage-Induced Fire Sales and Stock Market Crashes
Jiangze Bian, Zhiguo He, Kelly Shue, Hao Zhou, Dec 03, 2018The authors find that margin investors heavily sell their holdings when their account-level leverage edges toward the maximum leverage limits. Stocks that are disproportionately held by accounts close to leverage limits experience high selling pressure and abnormal price declines that subsequently reverse over the next 40 trading days. Unregulated shadow-financed margin accounts contributed more to the market crash even though these shadow accounts had higher leverage limits and held a smaller fraction of market assets.
Shadow Banking in a Crisis: Evidence from Fintech During COVID-19
Zhengyang Bao, Difang Huang, Jul 14, 2021We evaluate the performance of Chinese fintech and bank credit providers during COVID-19. Comparing samples of fintech and bank loan records across the pandemic outbreak, we find that fintech companies are more likely to expand credit access to new and financially constrained borrowers after the start of the pandemic. However, the delinquency rate of fintech loans triples after the outbreak, but there is no significant...
Will robots replace workers? Lessons from China
Osea Giuntella, Yi Lu, Tianyi Wang, Aug 06, 2025Robot adoption has skyrocketed in China in the last decade. New research finds that this exposure has led to a decline in employment and wages, influencing workers’ training and retirement decisions. How can developing countries prepare themselves for the artificial intelligence revolution?
The Two-Pillar Policy for the RMB from December 2015 to May 2017
Urban J. Jermann, Bin Wei, Vivian Yue, Aug 16, 2017We 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.
The Effect of Computer-Assisted Learning on Students’ Long-Term Development
Nicola Bianchi, Yi Lu, Hong Song, Feb 17, 2021We examine the effect of computer-assisted learning on students’ long-term development. We explore the implementation of the largest ed-tech intervention in the world to date, which connected China’s best teachers to more than 100 million rural students through satellite internet. Exposure to the program improved students’ academic achievement, labor performance, and computer usage for at least ten years after program implementation. These findings indicate...
