Using hand-collected data on siblings of chairpersons in Chinese family firms, we examine the impact of the chairperson having siblings on the corporate social responsibility (CSR) of their firm. The findings suggest that when a firm has a siblings-chairperson, the firm has a better CSR rating than firms with a chairperson without siblings. Specifically, a firm with a siblings- chairperson, on average, has a CSR rating approximately 7.96% higher than a median firm’s rating. The conclusions are robust to a battery of robustness checks including a regression discontinuity research design, alternative measures of CSR, a propensity score matching sample, placebo tests, and different estimation methods. Additional analysis suggests that the mechanisms behind siblings and CSR are consistent with both competition and altruistic effects among siblings. Further analysis suggests that the positive impact of a siblings-chairperson on the CSR rating of firms is more salient when the local familism culture is stronger, when government official career advancement incentives are lower, or when the siblings are directors or CEOs of other firms. Finally, firms with a siblings-chairperson are also pro-shareholder because they consume less perquisites than firms without a siblings-chairperson. Collectively, the findings are consistent with the notion that, by having at least one sibling, a chairperson is more competitive and altruistic than a chairperson without siblings, and such behavior enhances CSR. Family structure matters in corporate practices.

Exploring a novel dataset and a unique policy experiment, this paper examines the role of government intervention in the emergence of venture capital (VC) in China during 1999-2013. Using difference-in-difference methodology, I find that the central government program leads to an increase in local investment from both government and private VCs, which doubles the number of successful companies. The positive impact is most pronounced in relatively less developed regions and during the early development of the VC sector. I present two micro-level transmission channels of the crowding-in effects, through networks formed by previous investments and through co-ownership in VC affiliates.

We identify both dynamic and long-run relationships between each of the level, slope and curvature factors of the Treasury and corporate bond markets yield curve in China. We aim at determining which market plays a leading role in the discovery of each factor of the yield curve. We obtain three main results. First, we document for the first time the presence of a long-run relationship between the corporate and Treasury bond markets in China both for the level and the slope of their yield curve. Second, such a long-run relationship appears to be stable between the slopes over the full sample 2006-2017, but shows a break for the level factor in 2012. Third, the source market for price discovery varies with the parameters of the yield curve. While the corporate bond market is the source of price discovery for the level factor, this function is fulfilled by the government bond market for the slope parameter. The finding that the Treasury bond market is not fully dominant in level bond-pricing may not come as a surprise. Although China’s corporate bond market has developed rapidly in the past fifteen years, there were few default cases during that period. It is believed investors treat the default risk of corporate bonds as similar to that of Treasury bonds, and benefit from the high corporate spread. Our results for the slope parameter imply that market-oriented reform has progressed enough for the Treasury bond market to already provide a benchmark slope for the yield curve of corporate bonds. When the reform progresses further, we would expect corporate bonds to be priced according to their risk profile which should make the Treasury market lead in price discovery also for the level of the yield curve.

This study investigates the relationship between gender diversity on the board and dividend payouts in China using a large sample over the period 2003–2017. Our results provide robust and strong evidence showing that gender diversity on the board is positively associated with cash payments of dividends. The empirical outcomes confirm that gender diversity on the board facilitates corporate governance and subsequently promotes dividend payouts. We demonstrate that gender diversity on the board has the greatest effect when the board has critical mass participation (three or more female directors) compared with only their token participation. However, independent female directors increase dividend payouts, while female executive directors do not have a significant impact. Furthermore, we extend the literature on the relationship between dividend payments and government ownership by providing evidence that gender diversity has a higher impact on dividend payouts for state-owned enterprises than non-state-owned enterprises. After controlling the endogeneity problems, our findings are reliable and robust.

Stock market trading restrictions affect stock prices and liquidity directly through constraints on investors’ transactions and indirectly by altering the information environment. We isolate this indirect effect by analyzing how stock market restrictions affect corporate-bond prices. Exploiting the staggered relaxations of trading restrictions in the Chinese stock market as a quasi-natural experiment, we document that the easing of trading restrictions on a firm’s stock decreases the credit spread of its corporate bond. This effect is stronger for firms with less transparency or lower credit ratings. Our evidence suggests that the effect is likely due to improved stock price informativeness.

This paper studies the magnet effect of market-wide circuit breakers and examines its possible forms using high-frequency data from the Chinese stock index futures market. Unlike previous studies that mainly analyzed the price trend and volatility, this paper is the first to consider the intraday price jump behavior in studying the magnet effect. We find that when a market-wide trading halt is imminent, the probability of a price decrease and the level of market volatility remain stable. However, the conditional probability of observing a price jump increases significantly, leading to a higher possibility of triggering market-wide circuit breakers, which is in support of the magnet effect hypothesis. In addition, we find a significant increase in liquidity demand and insignificant change in liquidity supply ahead of a market-wide trading halt, suggesting that the deterioration of market liquidity may play an important role in explaining the magnet effect.

Using a comprehensive dataset of Chinese corporate bond issuances, we uncover substantial evidence of issuance overpricing: the yield spread of newly issued bonds at their first secondary-market trading day is on average 5.35 bps higher than the issuance spread. This overpricing is robust across subsamples of bond issuances with different credit ratings, maturities, issuance types, and issuer status. We further provide extensive evidence to support a hypothesis that competition among underwriters drives this overpricing through two specific channels—either through rebates to participants in issuance auctions or through direct auction bidding by the underwriters for themselves or their clients.

Studying China’s credit market, we find improved price efficiency and, paradoxically, worsening segmentation as perceived government support for state-owned enterprises (SOEs) caused non-SOE credit spreads to explode rather dramatically relative to their SOE counterparts amid government-led credit tightening. Interestingly, the post-2018 credit-market stress helped improve price efficiency within non-SOEs, while SOEs saw no such improvement and instead became sensitive to issuer-level measures of government support, marking a shift of SOE premium beyond the SOE label. We further document the real impact of the deepening credit misallocations: non-SOEs in aggregate are losing their long-standing advantage in profitability over SOEs in China.

This paper studies the economic impact of the emergence of FinTech platforms on financial intermediation. In China, platform distributions of mutual funds emerged in 2012 and grew quickly into a formidable presence. Utilizing the staggered fund entrance onto platforms, we find markedly increased flow sensitivities to performance. Akin to the winner-take-all phenomenon in the platform economy, net flow captured by top 10% performing funds more than triples its pre-platform level. This pattern of platform-induced performance chasing is further confirmed using private data from Howbuy, a top platform in China. Consistent with this added incentive of becoming top performers in the era of large-scale platforms, fund managers increase risk taking to enhance the probability of becoming top performers. Meanwhile, organizational cohesiveness of fund families weakens as platforms level the playing field for all funds.

We examine whether investor behavior can be influenced by the social norms to which they are exposed. Specifically, we test two competing hypotheses regarding the influence of social trust on the disposition effect related to mutual fund investment. On the one hand, a higher level of social trust may elicit stronger investor reactions by increasing the credibility of the performance numbers reported by funds. This results in higher flow-performance sensitivity, which mitigates investors’ tendency to sell winners and hold onto losers. On the other hand, societal trust may reduce concerns about expropriation, thereby weakening investors’ need to react to poor performance. The resulting lower flow-performance sensitivity increases the disposition effect. Based on a proprietary dataset of complete account-level trading information for all investors in a large mutual fund family in China, we find compelling evidence 1) of a significant disposition effect among fund investors; 2) that a higher degree of social trust is associated with higher flow-performance sensitivity; and 3) that (high) trust-induced flows mitigate the disposition effect. Our results suggest that, in addition to cognitive biases, investor behavior is also strongly influenced by social norms.