Utilizing positive quasi-random shocks to local housing prices in Shanghai, we show that stock investors who experienced significant returns from the real estate market traded less actively, took less risk, and spent less effort trading. We confirm the effect of housing price changes on investors' trading behavior in a national sample. Our findings suggest a substitution effect between the real estate and stock market and highlight the importance of understanding investors' trading behavior in light of intertemporal variations in other asset market.

This paper examines the changes in investors' trading behavior after winning an IPO allotment in China—a purely luck-driven event. We find that these investors subsequently become overconfident: They trade more frequently and lose more money relative to other investors. This effect is stronger when investors are inexperienced and when investors' pre-existing level of overconfidence is low. We also show that investors exhibit a stronger gambling propensity and hold more lottery-like stock after winning an IPO allotment. Our findings are not explained by wealth effects or house money effects. Overall, our evidence indicates that the experience of good luck makes people overconfident about their prospects.

We identify a group of “suspicious” firms that use stock splits, perhaps along with other activities, to artificially inflate their share prices. Following the initiation of suspicious splits, share prices temporarily increase, and subsequently decline below their presplit levels. Using account level data, we find that small retail investors acquire shares in firms initiating suspicious splits, while more sophisticated investors accumulate positions before suspicious split announcements and sell in the postsplit period. We also find that insiders sell large blocks of shares and obtain loans using company stock as collateral around the initiation of suspicious splits.

We show that Keeping-Up-with-the-Joneses preferences can explain several puzzling retail investor behaviors, including the excessive trading of small local stocks. Status concerns lead households, especially those living in affluent areas, to demand these stocks to track their neighbors' wealth. This demand varies procyclically with the stock market's value and generates household trading. Using Chinese data on local stock turnover, stock message boards, and brokerage account trading, we test and confirm this hypothesis by exploiting the uneven rise of affluence across Chinese cities between 1998 and 2012.

We investigate the determinants and effects of firm-initiated trading suspension during the Chinese stock market crash in July 2015. Our findings reveal that firms implemented suspensions to prevent investors’ panic selling, mitigate negative economic feedback, and safeguard specific shareholders’ interests. Once trading resumes, suspended stocks quickly align with the returns of comparable stocks, indicating that investors do not appear to penalize these firms in terms of valuation. Regarding post-resumption trading profits, small individual investors and institutions experience losses, whereas large individual investors and state agencies realize gains.