This paper improves the expected return variable and the corresponding trend factor documented by Han, Zhou, and Zhu (2016) and reveals the incremental predictability of this novel expected return measure on stock returns in the Chinese stock market. Portfolio analyses and ffrm-level cross-sectional regressions indicate a signiffcantly positive relation between the improved expected return and future returns. These results are robust to the short-, intermediate-, and long-term price trends and other derived expected returns. Our improved trend factor also outperforms all trend factors constructed by other expected returns. Additionally, we observe that lottery demand, capital states, return synchronicity, investor sentiment and information uncertainty can help explain the superior performance of the improved expected return measure in the Chinese stock market.

A lack of sufficient information about potential borrowers is a major obstacle to access to financing from the traditional financial sector. In response to the need for better information to prevent fraud, to increase access to finance and to support balanced sustainable development, countries around the world have moved over the past several decades to develop credit information reporting requirements and systems to improve the coverage and quality of credit information. Until recently, such requirements mainly covered only banks. However, with the process of digital transformation in China and around the world, a range of new credit providers have emerged, in the context of financial technology (FinTech, TechFin and BigTech). Application of advanced data and analytics technologies provides major opportunities for both market participants – both traditional and otherwise – as well as for credit information agencies: by utilizing advanced technologies, participants and credit reporting agencies can collect massive amounts of information from various online and other activities (‘Big Data’), which contributes to the analysis of borrowing behavior and improves the accuracy of creditworthiness assessments, thereby enhancing availability of finance and supporting growth and development while also moderating prudential, behavioral and conduct related concerns at the heart of financial regulation. Reflecting international experience, China has over the past three decades developed a regulatory regime for credit information reporting and business. However, even in the context of traditional banking and credit, it has not come without problems. With the rapid growth and development of FinTech, TechFin and BigTech lenders, however, have come both real opportunities to leverage credit information and data but also real challenges around its regulation. For example, due to fragmented sources of borrower information and the involvement of many players of different types, there are difficulties in clarifying the business scope of credit reporting and also serious problems in relation to customer protection. Moreover, inadequate incentives for credit information and data sharing pose a challenge for regulators to promote competition and innovation in the credit market. Drawing upon the experiences of other jurisdictions, including the United States, United Kingdom, European Union, Singapore and Hong Kong, this paper argues that China should establish a sophisticated licensing regime and setout differentiated requirements for credit reporting agencies in line with the scope and nature of their business, thus addressing potential for regulatory arbitrage. Further, there is a need to formulate specific rules governing the provision of customer information to credit reporting agencies and the resolution of disputes arising from the accuracy and completeness of credit data. An effective information and data sharing scheme should be in place to help lenders make appropriate credit decisions and facilitate access to finance where necessary. The lessons from China’s experience in turn hold key lessons for other jurisdictions as they move from credit information to credit data regulation in their own financial systems.

While cities piloting China’s Social Credit System attract attention, rural areas in China are experimenting with reputation-based credit systems called ‘banks of virtue’. These local institutions unlock cheap loans and other benefits for citizens who prove virtuous character. Based on empirical data, this article investigates how banks of virtue combine techniques of metrics known from capitalist credit systems with an inherently localized and personal evaluation procedure. As hybrid forms of organizing access to credit, this article argues, banks of virtue of er an alternative, rural answer to the ‘right to credit’ that emerged in debates concerning capitalist economies. While they combine multiple goals of the national rural revitalization and Social Credit System strategies, such as the creation of a ‘civilized’ rural society and the allocation of credit to small businesses and households, their reliance on citizen participation casts doubts over their capacity to achieve these goals.

This paper finds that reported fund returns do not necessarily represent the returns of mutual fund investors, especially over long investment periods. We show that mutual fund’s reported returns are calculated using NAV and represent the mutual fund manager’s skill in extracting value from the capital market. However, the real returns earned by mutual fund investors depend not only on the mutual fund manager’s skill but also on the subscription and redemption activities. Using the inflow and outflow information reported in the mutual funds’ semi-annual reports in China, we are able to calculate mutual fund investors’ real returns. We further derive the adjusted gain coefficient (AGC) to capture the difference between the reported mutual fund returns and the mutual fund investors’ real returns. We find that the AGC is significantly lower than 1, which suggests that the real returns of mutual fund investors are significantly lower than reported mutual fund returns in China. The underperformance of mutual fund investors relative to the mutual fund managers they invest in is very persistent and is stronger in more recent years. A further investigation reveals that this underperformance is largely attributed to investors’ poor timing skills and additional fees incurred as a result of excessive subscription and redemption activities. We also identify skilled mutual fund investors using AGC and find that fund managers can benefit from investors’ timing skills. Skilled mutual fund investors flow in when the mutual fund managers have good investment opportunities and flow out when the mutual fund managers have extra cash. The synchronization of the mutual fund investors’ flow and mutual fund managers’ investment strategies can reduce the need for liquidity management and improve mutual fund performance. Using Chinese mutual funds data, we show that a 1% increase in AGC can increase fund riskadjusted return by 0.2% in the next six months.

The development of the wealth management market is based on the needs of investors. The logic of market regulation should also be based on the interests of investors. On the basis of summarizing the regulatory experience of the global wealth management market, suggestions are put forward to improve the system of China's wealth management market . The fundamental driving force for the establishment of a regulatory legal system for the wealth management market comes from the needs of the development of the wealth management market. Moreover, the structure and process of this institutional construction are also closely related to the structure and development of market demand. China's current wealth management market has become a huge financial sector, and the deepening of the market and the diversification of participants all put forward requirements for the construction of a fair and scientific regulatory system. Wealth management business is different from traditional financial business in many aspects such as function, business standard and business model, and its basic legal relationship is also far from traditional business. The commonality of business in China's current wealth management market is in line with the basic elements of the legal relationship of trust. From the perspective of the realistic basis and the nature of the industry, it is appropriate to define the basic legal nature of wealth management business as a trust relationship. Due to factors such as information asymmetry and economic scale, financial investors are in a serious imbalance and imbalance when they trade with financial institutions. Therefore, the financial supervision system should grasp this core contradiction, give investors the status of consumer protection, and establish the concept of protecting wealth consumers. The regulation of wealth management operators should grasp the requirements of the basic trust relationship, take the basic principle of supervising the performance of trustee duties by financial management institutions, and implement a series of rules for trustees to be loyal and prudent in financial management. These rules should focus on risk prevention, and include establishment of access standards for wealth management business, supervision of independent development of wealth management business, supervision of full performance of prudent management duties by wealth management institutions, and guidance for healthy development of wealth management institutions. The experience in the supervision of developed wealth management markets such as the United States, the United Kingdom, Japan, and Singapore shows that the establishment of a legal system for the protection of wealth management consumers is an inevitable result of the development of the financial market, and it is necessary to set up special institutions and mechanisms to implement the concept of wealth management investor protection, and emphasize wealth management products. Providers' fiduciary obligations to investors, and functional supervision based on a unified system in the regulatory system can be used as a reference for China . China's wealth management market regulatory system include inconsistent rules, weak protection, biased guidance, and lack of independence. Due to the separate regulatory system, different game rules apply to homogeneous wealth management business operated by different types of financial institutions, resulting in rule conflicts and market injustice. However, the substantive rights of wealth management investors still exist in a vacuum that cannot be confirmed. At the same time, the status of consumers is far from being officially confirmed, and the consumer protection mechanism cannot truly achieve justice. As regulatory guidance still favors the concept and tools of supervising traditional businesses, wealth management institutions mainly expand extensively by selling products, and wealth management products also present serious "bond-like" characteristics. The "non-neutral " positioning of financial regulatory agencies has externalized into phenomena such as rule conflicts, "policy following suit" and "excessive maintenance of stability". Constructing and continuously improving China's wealth management market supervision system is: the purpose of supervision is to restore the effective operation of the market mechanism. The basic legal relationship in China's wealth management market should be recognized as a trust relationship. This is not only an essential requirement of the wealth management market, but also a practical need to integrate regulatory chaos. It is the trend of financial and economic development that the regulatory system positions the position of wealth management consumers. It should start with legislative policies, make key breakthroughs around consumers' substantive rights and protection mechanisms, and gradually improve investor protection mechanisms. The regulatory system should focus on supervising financial institutions to fulfill their fiduciary obligations, and establish sound access rules, business independence rules, prudent management rules, and strict market exit mechanisms. China's wealth management market supervision system should be based on unified legislation and gradually implement functional supervision in order to achieve effective management and harmonious development of the wealth management market.

This paper studies the Level, Slope, and Curve factor model under different tests in the Chinese stock market. Empirical asset pricing tests reveal that the slope factor in the model represents either reversal or momentum effect for the Chinese stocks. Further tests on individual stocks demonstrate that the Level, Slope, and Curve model using effective predictor variables outperforms other common factor models, thus a filter in virtue of multiple hypothesis testing is designed to identify the effective predictor variables. In the filter models, the cross-section anomaly factors perform better than the time-series anomaly factors under different tests, and trading frictions, momentum, and growth categories are potential drivers of Chinese stock returns.

投资者对宏观经济风险的评估如何影响资产价格一直是实证资产定价的难点之一。已有研究指出新闻文本会改变投资者对宏观经济的判断和预期进而影响股价，但如何有效提取与宏观经济风险相关的文本叙事信息来解释或预测资产价格变动，尚未达成共识。本文基于2007-2021年中国七家专业财经媒体的新闻报道数据，首次结合人工智能前沿领域的BERT大语言模型来测度新闻叙事注意力信息，然后利用稀疏工具主成分（Sparse IPCA）估计影响基本面的状态变量和影响资产价格的叙事定价因子。基于A股市场的实证检验发现：第一，本文利用新闻文本估计的状态变量对于消费、产出、国债收益率等宏观经济指标具有显著的预测效果，这表明新闻叙事蕴含着影响经济运行的信息。第二，相比CAPM、三因子等基准模型，基于新闻文本构建的叙事因子模型能更好地解释资产错误定价现象，并对未来资产价格的变化有更强的预测能力。第三，与基于关键词的文本分析方法（如LDA主题模型）相比，利用BERT提取文本信息可在保证因子模型简约性的基础上获得更优异的定价效果。本文的研究结论对于解释资产横截面收益差异有新的启示，同时为应用大语言模型于经济金融学研究抛砖引玉。

This study investigates the relationship between investors’ prior gains or losses and their adoption of extrapolative beliefs. Our findings indicate that investors facing prior losses tend to rely on optimistic extrapolative beliefs, whereas those experiencing prior gains adopt pessimistic extrapolative beliefs. These results support the theory of motivated beliefs. The interaction between the capital gain overhang and extrapolative beliefs results in noteworthy mispricing, yielding monthly returns of approximately 1%. Motivated extrapolative beliefs comove with investors’ survey expectations and trading behavior, and help explain momentum anomalies. Additionally, households are susceptible to this belief distortion. Institutional investors can avoid overpriced stocks associated with motivated (over-)optimistic extrapolative beliefs.

This paper examines the impact of the rating of equity crowdfunding platforms in China on funding campaign success. We gather information from 2014 to 2021 on 583 fund raising campaigns. Our results suggest that campaign success is positively correlated with the reputation of the platforms but especially for the most reputable one. We also show that the level of technological intensity of the industries and services is positively correlated with the amount raised. Overall, our paper suggests that platform ratings provide a valuable signal to investors, especially when projects are risky and when information asymmetry is high.

增值税留抵退税政策是当前经济环境下,政府为减轻企业资金压力、带动扩大有效投资、着力稳定宏观经济大盘而做出的重要举措,因而科学评估留抵退税政策的经济效应对进一步优化税收优惠政策具有重要意义。文章基于 2013—2021 年中国 A 股上市公司微观数据,利用双重差分法评估了 2018 年增值税留抵退税试点政策对企业就业吸纳能力的影响。结果显示,增值税留抵退税政策显著提高了企业的就业规模,该结论在进行动态效应分析、安慰剂检验、排除其他同时期政策影响以及替换模型设定形式四个维度的稳健性检验后依然成立。机制分析表明,留抵退税的就业创造效应主要通过缓解企业流动性约束实现。此外,异质性分析发现,增值税留抵退税政策对融资约束高、劳动密集型、税收征管强度大的企业促进作用更显著。进一步分析表明,留抵退税政策的实施显著提高了企业的技术员工占比和员工工资水平,但对企业劳动收入份额无显著影响。文章结论为政府部门通过留抵退税政策实现“稳增长、稳市场主体、保就业”提供了理论依据和实践参考。