Wealth Redistribution in Bubbles and Crashes

Working Paper: CEPR ID: DP15029

Authors: Dong Lou

Abstract: Using comprehensive administrative data from China, we document a substantial increase in inequality of wealth held in risky assets by Chinese households in the 2014-15 bubble-crash episode: the largest 0.5% households in the equity market gain, while the bottom 85% lose, 250B RMB through active trading in this period, or 30% of either group’s initial equity wealth. In comparison, the return differential between the top and bottom groups in 2012-14, a period of a relatively calm market, is an order of magnitude smaller. We examine a number of possible explanations for these findings and discuss their implications.

Keywords: bubbles; crashes; social impact; wealth inequality; market participation

JEL Codes: D14; D31; D91; G11; G51; O16


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
wealth redistribution during the bubble-crash episode (H23)substantial increase in inequality of wealth (D31)
differences in investment skills and capital constraints among households (D14)wealth redistribution (H23)
active trading behaviors of top households (D14)wealth transfer to ultra-wealthy (D64)
top households' better market timing abilities (G59)wealth transfer to ultra-wealthy (D64)
bottom households' trading negatively forecasts future stock returns (G17)wealth loss for bottom 85% (D31)
top households' trading positively predicts returns (G59)wealth gain for top 0.5% (D33)
increased market volatility and trading volume during bubble periods (E32)exacerbated wealth redistribution (D31)

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