This paper shows that a New Year’s gambling preference of individual investors impacts prices and returns of assets with lottery features. January call options, especially the out-of-the-money calls, have higher retail demand and are the most expensive and actively traded. Lottery-type stocks outperform their counterparts in January but tend to underperform in other months. Retail sentiment is more bullish in lottery-type stocks in January than in other months. Furthermore, lottery-type Chinese stocks outperform in the Chinese New Year’s Month but not in January. This New Year effect pro- vides new insights into the broad phenomena related to the January effect.

This paper dissects the lottery-like anomaly in Chinese A-share stocks by decomposing total stock returns into overnight and intraday returns. Our findings indicate that the negative overnight returns are concentrated among lottery-like stocks, and the lottery-like anomaly is mainly driven by the overnight returns component. Considering the unique Chinese institutional features, our mechanism analysis reveals that the overnight returns induced lottery-like anomaly is more pronounced in stocks with high retail investors' gambling preference and high limits of arbitrage. Overall, our results suggest that investors optimism and trading constraints have a substantial impact on market efficiency in China.

What are the benefits to a firm of having investors with gambling preference as shareholders? Motivated by studies showing that gambling investors prefer lottery-like stocks and require lower expected returns to take risk, we hypothesize that firms with positively-skewed assets can use stock splits to attract investors with gambling preference to share risk and to lower cost of equity. Indeed, analyzing a sample of Chinese firms that split their stocks through stock dividends and using proprietary trading data to measure retail investors’ gambling preference, we find that, on average, shareholders increase by 54% and retail gambling investors increase by 119% following stock dividends. Furthermore, while firms become more risk-taking, their cost of equity declines substantially, largely due to the increased retail gambling investors’ pricing influence. Thus, stock splits are effective for improving risk-sharing efficiency, and gambling investors contribute to lowering the cost of capital.

This paper documents a stock-dividend premium of around 10% when controlling for optimistic earnings growth and liquidity improvement. We propose an alternative explanation for the effect of stock dividends from the perspective of investor recognition. First, we find that stock-dividend premiums are positively related to an increase in investor base, particularly for firms with a small investor base. Second, an increase in investor base is due to individual investors, as they, especially those with a stronger propensity to gamble, are net buyers around the announcement of stock dividends, while institutional investors behave in the opposite manner. Finally, we show that after paying stock dividends, firms experience significant increases in speculative features, which are caused by clientele shifts toward individual investors as opposed to the undertaking of riskier projects by managers. As a whole, our results also indicate that an increase in investor base could be related to investors’ gambling preferences.

This paper documents a stock-dividend premium of around 10% when controlling for optimistic earnings growth and liquidity improvement. We propose an alternative explanation for the effect of stock dividends from the perspective of investor recognition. First, we find that stock-dividend premiums are positively related to an increase in investor base, particularly for firms with a small investor base. Second, an increase in investor base is due to individual investors, as they, especially those with a stronger propensity to gamble, are net buyers around the announcement of stock dividends, while institutional investors behave in the opposite manner. Finally, we show that after paying stock dividends, firms experience significant increases in speculative features, which are caused by clientele shifts toward individual investors.. As a whole, our results also indicate that an increase in investor base could be related to investors' gambling preferences.

Using comprehensive account-level data from 2016 to 2019, we examine retail investor trading behavior in the Chinese stock market. We separate millions of retail investors into five groups by their account sizes and document strong heterogeneity in their trading dynamics and performance. Retail investors with smaller account sizes cannot predict future price movements correctly, in the sense that they buy future losers and sell future winners. These investors fail to process public news and display behavioral biases such as overconfidence and gambling preferences. In sharp contrast, retail investors with larger account balances predict future returns correctly, incorporate public news in their trading, and gain more in stocks which are more attractive to investors with behavioral biases. For liquidity provision, the smaller retail investors follow daily momentum strategies, demanding immediate liquidity, while they become contrarian over weekly horizons, and they contribute positively towards firm-level liquidity. On the contrary, larger retail investors ae contrarian at daily horizons, providing immediate liquidity, but their potentially informed trades demand liquidity over longer terms.