In the era of big data, asset pricing is influenced by various factors, which are extracted from multi-source heterogeneous information, such as high frequency market and sentiment information, low frequency firm characteristic and macroeconomic information. Especially, low frequency policy information plays a significant role in the long-term pricing in China but it is barely investigated due to its textual form. To this end, we first extract policy variables from major national development plans (“Five-Year Plans”, “Government Work Reports”, and “Monetary Policy Reports”) using Natural Language Processing (NLP) technique and Dynamic Topic Model (DTM). However, traditional models are inadequate for mixed frequency data modeling and feature extraction. Then, we propose a mixed frequency deep factor asset pricing model (MIDAS-DF) that solves the asset pricing problems under the mixed frequency data environment through mixed data sampling (MIDAS) technique and deep learning architecture. Time-varying latent factors and factor loadings can be modeled from mixed frequency data directly in a nonlinear and data-driven way. Thus, the MIDAS-DF model is able to learn the nonlinear joint-patterns hidden in multi-source heterogeneous information. Our empirical studies of 4939 stocks on the Chinese A-share market from January 2003 to July 2022 demonstrate that low frequency policy information has profound impacts on asset pricing, which anchors the long-term pricing direction, and high frequency market and sentiment information have significant influences on stock prices, which optimize the short-term pricing accuracy, they together enhance the pricing effects. Consequently, pricing effects the MIDAS-DF model outperform the five competing models on individual stocks, various test portfolios, and investment portfolios. Our research about heterogeneous information provides implications to the government and regulators for decision-support in policy-making and our investment portfolio is of great importance for investors’ financial decisions.

We examine how hometown ties among local politicians affect capital allocation in China. We use a difference-in-differences design that relies on the exogenous replacements of city officials. Our results indicate that hometown ties between city party secretaries increase city-dyad investment by 10% and firm registrations by 1%. These effects are larger between distant cities and for the investment of small and private firms. Comparing the effects before and after the Chinese anti-corruption campaign, we provide nuanced evidence showing that, although hometown ties may entice the rent-seeking activities of officials, such activities may promote economic growth.

We examine the impact of institutional investor networks on firm innovation in China. Employing the unexpected departure of mutual fund managers and the inclusion of the Shanghai-Shenzhen 300 index as identifications, we find that institutional investor networks have a positive impact on firm innovation. Specifically, firms that are hold by well-connected institutional investors are motivated to make R&D investments and receive greater patents than their counterparts. This positive influence is more pronounced for non-SOEs and for firms located in less-developed regions, indicating that institutional investor networks act as information flow facilitator and a value certifier to encourage innovation activities.

In China's labor market, there is a phenomenon that enterprises choose whether to provide "social insurance and housing fund" to laborers autonomously. This paper use micro-data from two leading Internet recruitment platforms and empirically finds that in a labor market with double-side information asymmetry, "social insurance and housing fund" is not only a cost but also a signal. Providing workers with "social insurance and housing fund" can both send a signal of stable operation to the labor market and identify high-quality workers for enterprises. With an instrument variable of local average social security payment rate, this paper excludes the endogenous effect of labor supply on wages while the signaling effect above is still significant. In addition, "housing fund" has a stronger signaling effect than "social insurance", and the strength of the two signaling effects is affected by the scale of the enterprises and the level of local payment rates. This paper also introduces a theoretical framework of two micro-mechanisms — signaling and screening — into the analysis. In terms of policies, this paper proposes to strengthen the information disclosure and the propagation of social security payment, and further reduce the financial burden of enterprises.

The Property Rights Theory states that clearly defined ownership is the premise of efficiency, while ambiguous property rights result in great externalities. We use the establishment of local SASACs as a quasi-natural experiment to investigate how unifying the supervision rights and responsibilities internalizes externalities and enhances SOEs’ innovation. The primary results show that the total innovation outputs and high-quality innovation outputs of SOEs governed by local SASACs (i.e., treatment group) improve after creating SASACs. The mechanism analyses show that both the pyramids level and risk-bearing level of local SOEs increase. In cross-sectional tests, we unravel that the innovation improvement effect is subject to the following five factors, including SASACs’ independence, local government quality, industry competition, SOEs managers’ motivation for promotion, and whether the SOE is in high-tech industry. Our paper provides empirical evidence for evaluating the innovation effect of the establishment of local SASACs with a quasi-natural experiment when the public ownership of SOEs does not change. Chun

We examine whether family firms differ from nonfamily firms in their corporate social responsibility (CSR) reporting practice. Using a sample of Chinese firms, we find that, compared to nonfamily firms, family firms are more likely to have a system in place that guides the establishment and development of their CSR activities. Family firms are also more likely to adopt the GRI guidelines, and they disclose significantly more information about their CSR practice. The findings are consistent with the notion that family firms are more long-term oriented, and as a result, they are more concerned about firm reputation and use CSR disclosure as a means to establish and maintain a good reputation and to legitimize their behavior. We further find that the positive relation between family firms and CSR disclosure exists mainly in those firms with relative high state ownership, which helps mitigate government expropriation risk. Our research contributes to the limited literature on the relation between family firms and CSR practice. We also contribute to the literature on the impact of government expropriation risk and its interaction with firm ownership structure on firm behavior.

In this paper, we construct a content analysis structure to explore whether corporate governance information in voluntary disclosures can predict management expenses in the next term. Employing the site visit information disclosure of firms listed on the Chinese A-share market from 2012 to 2021, we find that corporate governance information disclosure is motivated by ownership concentration,and that corporate governance information can predict management expenses and comprises incremental information, indicating that the content analysis we construct is valuable and the disclosure of corporate governance information can mitigate the agency problems.There is a difference between state-owned listed firms and nonstate-owned listed firms.

The foreign capital flight amid pandemic outbreaks can result in propagation effects in the equity market. With a daily shareholding dataset, this paper investigates the trading behavior of foreign mutual funds in China when it was the epicenter of COVID-19 outbreaks and the subsequent period with global spreads. Using fixed effects and panel structural VAR models, we confirm propagation effects caused by the capital flight of foreign mutual funds. Substantial heterogeneities across foreign funds affiliated and unaffiliated with commercial banks have been uncovered, though they are both found to withdraw from risky stocks as an indication of a "flight to quality." Without implicit guarantees, unaffiliated foreign mutual funds liquidated immediately and more when the pandemic hit China. The resulting price shocks led to further deleverage by bank-affiliated foreign funds on their pre-pandemic risk exposure stocks. Our results shed new light on the behavioral theory of stock market trading featuring fund and stock exposure channels.

With market-oriented reforms in the economy, the Chinese government has promoted the development of risky financial markets, but evidence on the influence of social trust on risky financial market participation is scarce. Using three-wave longitudinal data from the China Family Panel Survey; and lagged variable, instrument variable, and fixed-effects models to address the endogeneity issues; we investigated social trust’s influence on risky financial market participation. We also estimated the effects of social trust by age, education, sex, and urban/rural resident groups. We found that social trust positively affected the probability of holding risky financial assets and their shares, however its effects were insignificant when addressing unobservable individual heterogeneity. The positive effect of social trust was greater for the youth, the highly educated, women, rural residents and high-income groups than their counterparts.

本文基于中国 1995 年至 2017 年省级面板数据，详细且深入地研究讨论了金融结构、产业结构与经济发展间的关系。研究发现，第一，中国金融结构与产业结构经历了从低级向高级的发展，在这一过程中两者始终保持高度耦合，说明中国在各时点金融结构是适合当时产业发展需要的，且金融结构与产业结构经历了由勉强协调到优质协调的演进变化过程。第二，一个地区金融结构与产业结构相互耦合匹配、彼此协同发展的协调程度越高，越有利于当地经济发展，且中国中西部地区较之东部地区，二者协调演进水平的提升能对当地经济发展带来更大的边际影响。第三，提升全要素生产率是“金融结构—产业结构”协调演进以促进经济发展的重要渠道，其中更有利于促进技术进步水平提高，其次是促进规模效率提升，进而推动经济发展。第四，当金融结构与产业结构协调适应水平较低时，金融结构提升会明显抑制经济绩效和产业升级，而当协调演进水平高于门限值时，金融结构提升则表现出对二者的有利作用。另外，金融结构提升会对金融风险管控造成一定不利影响。