Local financial development is crucial for advancing regional financial supply side structural reform, enabling local governments to leverage financial instruments to effectively mobilize land resources and foster competitive growth. The introduction of numerous financial products linked to land-related rights and interests has resulted in a pronounced transmission and interconnection of fiscal and financial risks across regions. This study examines the impact of local financial development on land financialization in China using panel data from prefecture-level cities and detailed information on land mortgages. The findings indicate that the establishment of city commercial banks (CCBs) contributes to the progress of land financialization by incentivizing local government financing vehicles to participate in land mortgage financing, increasing the transfer of debt risks to the financial sector. Notably, the impact of CCBs on land financialization is more pronounced in regions with urban agglomeration, high GDP manipulation, inadequate local financial regulation, and robust implicit government guarantees. Further analysis reveals that CCB establishment has negative spillover effects on land financialization in neighboring areas, while expansion strategies such as establishing intercity branches, engaging in cross-regional mergers, and relaxing regulations have mitigated the rise of land financialization at the regional level. This study provides policy recommendations that focus on reducing local governments’ reliance on land financing and enhancing the prevention and management of financial risks.

We examine a unique phenomenon among exchange traded funds (ETFs) in the Chinese stock market, finding that ETFs pervasively participate in initial public offerings (IPOs) to profit from underpricing. The ETF IPO participation passes primary market benefits to retail investors, providing benefits from hard-to-reach investment opportunities. These active moves showing ETFs are not entirely passive highlight the gains of the active management. However, we observe that this activity leads to increased non-fundamental volatility and short-term return reversals, as well as decreased investment-q sensitivity among ETF member stocks, presenting a negative externality. Using a policy shock as the quasi-natural experiment, we establish the causality of these effects, underscoring the dual nature of ETFs active management.

Beyond a bias toward local stocks, investors prefer companies in certain cities over others. This study uses the geographic network of investor-followed stocks from stock watchlists to identify intercity investment preferences in China. We measure the city-pair connectivity by its likelihood of sharing an investor in common whose stock watchlist is highly concentrated in the firms of that city pair. We find that a higher connectivity-weighted aggregate stock demand-to-supply ratio across connected cities is associated with higher stock valuations, higher turnover, better liquidity, and lower cost of equity for firms in the focal city. The effects are robust to controls for geographic proximity and the broad investor base, are stronger among small firms, extend to stock return predictability, and imply excess intercity return comovement. Our results suggest that city connectivity revealed on the stock watchlist helps identify network factors in asset pricing.

This paper examines the consequences of Chinese regulators deviating from a long-standing full bailout policy in addressing the distress of a city-level commercial bank. This policy shift led to a persistent widening of credit spreads and a significant decline in funding ratios for negotiable certificates of deposit issued by small banks relative to large ones. Our empirical analysis reveals a novel contagion mechanism driven by reduced confidence in future bailouts (implicit non-guarantee), contributing to the subsequent collapse of other small banks. However, in the longer term, this policy shift improved price efficiency, credit allocation, and discouraged risk-taking among small banks.

We examine the relation between the CEO’s childhood socioeconomic class and corporate labor policies. We find that CEOs raised in low socioeconomic class families are less likely to invest in employee friendly firm policies measured by several types of labor and employment litigation, including litigation by unions, and occupational safety measures. These results are confirmed by crowdsourced employee firm reviews across several workplace dimensions. Our findings are supported by the studies of within-family transmission of occupational knowledge and formation of occupational norms as well as development of empathy and altruistic behaviors in children.

Using the unique regulatory setting from the Hong Kong stock market with both shortable and no-short stocks, we document that no-short stocks on average earn significantly higher average returns than shortable stocks. Furthermore, stocks that comove more with the portfolio of no-short stocks than with the portfolio of shortable stocks on average earn higher subsequent abnormal returns. Additions to and deletions from the shorting list only partially contribute to the no-short return premium. To interpret our findings, we provide a theoretical model showing that rational investors’ discounting for the mispricing risk of no-short stocks can lead to the no-short return premium.

We study the effects of mortgage debt and informal home loans on stock ownership. Mortgage debt is typically originated with licensed financial institutions while informal home loans are obtained from private lending. Using the China Household Finance Survey data, we show that mortgage debt has a positive relationship, while informal home loans have a negative relationship, with a household’s likelihood and degree of subsequent stock market participation. Instrumental variable estimates identify a causal impact of these effects. Further tests demonstrate cross-sectional variations of these effects across urban development, education, financial literacy, loan interest rate, maturity, and funding sources.

Using a large sample of US individuals, we show that individuals with higher levels of trust have lower likelihoods of default in household debt and higher net worth. The effect is driven by trust values inherited from cultural and family backgrounds more than by trust beliefs about others. We demonstrate a causal impact of trust on financial outcomes by extracting the component of trust correlated with early-life ex- periences. The effect of trust is more pronounced among females, those with lower education, lower income, lower financial literacy, and higher debt-to-income ratio. Further evidence suggests that enhancing individuals’ trust, to the right amount, can improve household financial well-being.

Behavioral theories suggest that investor misperceptions and market mispricing will be correlated across firms. We use equity and debt financing to identify common misval- uation across firms. A zero-investment portfolio (UMO, undervalued minus overvalued) built from repurchase and issue firms captures comovement in returns beyond that in some standard multifactor models, and substantially improves the Sharpe ratio of the tangency portfolio. Loadings on UMO incrementally predict the cross-section of returns on both portfolios and individual stocks, even among firms not recently involved in external fi- nancing activities. Further evidence suggests that UMO loadings proxy for the common component of a stock’s misvaluation.

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.