This paper uses a loan transactions dataset from China to identify whether shadow loans cost more than formal bank loans even with collateral. This motivates us to explore the reasons as to why a listed firm would opt for such loans. Using propensity-score matched data, we find that privately-owned firms with shadow loans are forced to obtain these loans since they are politically discriminated following a regulation change in 2009 that favoured state-owned firms. However, state-owned firms obtain shadow loans due to their inferior firm characteristics. Further, we employ a Difference-in-Differences methodology to uncover that privately-owned firms experience a decline in their performance, investment growth and an increase in default probability following their high dependence on shadow loans when they are excluded from the formal loan market. The above results survive various robustness checks, including doubly-robust inverse-probability weighted Difference-in-Differences regressions.

Distinct from existing studies on general institutional investors and institutional investor cliques, this study examines how common institutional owners, who simultaneously hold more than 5% equity blocks in at least two publicly traded firms within the same industry, influence firms’ bad mergers and acquisitions (M&As) in China. Contrary to the “conspiracy tort” view, according to which common institutional owners are more likely to vote for bad M&A deals to pursue internalized gains from industry portfolios (Antón et al., 2022b), our results strongly support the “synergy governance” view, according to which common institutional owners perform more actively and effectively in monitoring against bad M&As and improving M&A quality. There is further evidence that common institutional owners with greater peer linkages and industry power and longer-term holdings are more likely to oppose deals with negative acquirer returns. Finally, we find that the effect of common institutional ownership on M&As is more pronounced among firms with stronger earnings management, moderate stock return synchronicity, less management shareholding and higher management expenses. The results are consistent with the “synergy governance” hypothesis whereby common institutional owners are able to leverage their advantages of industry information and supervisory experience to improve the information environment and corporate governance of the firms they hold. Overall, in China’s market, common institutional owners play an active external governance role and effectively improve M&A quality.

The existing literature studies the relationship between institutional investors and the risk of stock price crash from multiple dimensions. Based on the phenomenon that institutional investors hold the shares of several listed companies in the same industry, this paper takes the A-share listed companies in Shanghai and Shenzhen stock markets from 2008 to 2018 as the research samples to explore the relationship between institutional common ownership and stock price crash risk. The results show that: institutional common ownership significantly increases the risk of stock price crash. After a series of robustness tests, the conclusion remains unchanged. The impact mechanism test shows that institutional common ownership improves the stock price synchronization, investor sentiment and stock liquidity, and then aggravates the risk of stock price crash. Further tests show that the higher the product market competition, the more media coverage, and the weaker the protection of regional investors, the positive impact of institutional common ownership on the risk of stock price crash is more significant.

We ask whether CFO's managerial skills affect corporate tax avoidance using a sample of Chinese-listed companies. To that end, we develop a CFO managerial skills index based on four dimensions of the CFO's work experience: (1) the number of current positions a CFO holds, (2) the number of functional departments a CFO has worked in during his career, (3) the number of firms he has worked for, and (4) whether the CFO has political connections. We find that CFOs with high managerial skills are more likely to engage in aggressive tax avoidance. This effect is weakened when CFOs are in their first year of employment, approaching retirement, and are too busy. Moreover, we find that CFOs with general management skills are more likely to adjust corporate tax avoidance to levels similar to their peers.

This study investigates Chinese equity mutual funds’ performances while holding those that are well behaved in financial disclosure (transparent) companies, so-called peace of mind investing. This study uses detailed semi-annual data on mutual funds from 2011 to 2020, and finds that holding these transparent companies’ stocks is profitable for mutual funds and trusted by investors, thereby boosting their inflows. However, there is no significant evidence that mutual funds can beat the market portfolio when fees are considered. The study then provides possible explanations for the above findings from mutual fund managers’ skills and mutual holdings between institutional shareholders of fund management and transparent companies.

This paper investigates the intertemporal relation between expected aggregate stock market returns and conditional variance considering periodic trading breaks. We propose a modified version of Merton’s intertemporal asset pricing model that merges two different processes driving asset prices, (i) a continuous process modeling diffusive risk during the trading day and, (ii) a discontinuous process modeling overnight price changes of random magnitude. Relying on high-frequency data, we estimate distinct premia for diffusive trading volatility and volatility induced by overnight jumps. While diffusive trading volatility plays a minor role in explaining the expected market risk premium, overnight jumps carry a significant risk premium and establish a positive risk-return trade-off. Our study thereby contributes to the ongoing debate on the sign of the intertemporal risk-return relation.

This paper investigates the trading behavior of ambiguity-loving investors and the corresponding impacts on asset price. The ambiguity-loving attitude increases investors' willingness to participate in the risky asset market. Their rising participation gradually crowds out ambiguity-averse and sophisticated investors, extending their nonparticipation region. When the market supply is small, the discontinuous and non-unique properties of ambiguity-loving investors' demand mapping can cause flat ranges in the equilibrium price. When the market supply is moderate or large, an increase in the fraction of ambiguity-loving investors or ambiguity level reduces equity premium. We find the effect of ambiguity-loving attitudes remains with short-sales constraints except for ambiguity-loving investors' positions and the equity premium. Their positions shrink, and equity premium decreases when the market supply is small. Besides, the rising fraction of ambiguity-level investors and ambiguity level increases equity premium when ambiguity-loving investors with heterogenous opinions only sell the risky asset.

We establish a framework to study the factor structure in stock variance under a high-frequency and high-dimensional setup. We prove the consistency of conducting principal component analysis on realized variances in estimating the factor structure. Moreover, based on strong empirical evidence, we propose a multiplicative volatility factor (MVF) model, where stock variance is represented by a common variance factor and a multiplicative lognormal idiosyncratic component. We further show that our MVF model leads to significantly improved volatility prediction. The favorable performance of the proposed MVF model is seen in both US stocks and global equity indices.

In 2013, the Shanghai Futures Exchange (SHFE) introduced a night session in Chinese metal futures markets. Using high-frequency data of gold, silver, and copper futures, we investigate the impact of night trading on intraday return predictability in Chinese metal futures markets. Firstly, we find the intraday return predictability has changed after introducing night trading: before the launch of night trading, the first half-hour daytime returns show significant predictability, whereas the first half-hour night returns exhibit forecasting power after that. Such changes can be explained by the immediate reactions of domestic investors to international news released in the evening. Secondly, the market timing strategy outperforms the always-long and buy-and-hold benchmark strategies. Thirdly, the predictability of night return is stronger on days with higher volatility and volume. Furthermore, stronger intraday predictability is associated with global news releases and positive news sentiment, suggesting enhanced connectedness of Chinese and international metal futures markets after the launch of night trading.

数字金融迅速发展如何影响孩子的学习成绩？本文基于社会资本理论和物质资本理论探究数字金融发展对孩子学习成绩的影响及内在机制。基于中国家庭追踪调查（CFPS）和中国数字普惠金融指数数据，本文发现数字金融发展降低了孩子的学习成绩。 通过分析数字金融对孩子成绩的影响机制，发现数字金融发展促进了父母的就业，增加了父母工作时间， 引起家庭“社会资本”降低，使得父母陪伴和监督孩子的时间减少， 导致孩子的学习成绩下降。祖父母的陪伴、 参加课外辅导班及住校能在一定程度上弥补父母对孩子陪伴时间的减少，缓解数字金融发展对孩子学习成绩的负向影响。 数字金融虽能提升家庭的“物质资本”，但并没有通过显著增加对孩子的教育投资而提升孩子成绩。 本文结论对家长和政策制定者具有一定的启示。