The healthy operation of the stock market relies on sound liquidity. We utilize the semantic information from disclosure texts of listed companies on the China Science and Technology Innovation Board (STAR Market) to construct a daily corporate network. Through empirical tests and performance analyses of machine learning models, we elucidate the relationship between the similarity of company disclosure text contents and the temporal and spatial correlations of stock liquidity. Our liquidity indicators encompass trading costs, market depth, trading speed, and price impact, recognized across four dimensions. Furthermore, we reveal that the information loss caused by employing Minimum Spanning Tree (MST) topology significantly affects the explanatory power of network topology indicators for stock liquidity, with a more pronounced impact observed at the document level. Subsequently, by establishing a neural network model to predict next-day liquidity indicators, we demonstrate the temporal relationship of stock liquidity. We model a liquidity predicting task and train a daily liquidity prediction model incorporating Graph Convolutional Network (GCN) modules to solve it. Compared to models with the same parameter structure containing only fully connected layers, the GCN prediction model, which leverages company network structure information, exhibits stronger performance and faster convergence. We provide new insights for research on company disclosure and capital market liquidity.

Since September 1, 2014, the renminbi (RMB) offshore market in Taiwan has been started on according a cross-strait MOU. A completed RMB market in the Chinese Economic Area therefore has been established. Due to political and economic disruptions, such as the aftermath of the global tsunami, mainland China’s stock market crash and RMB exchange rate reform in 2015, as well as failure of the Service Trade Agreement between Taiwan and mainland China in 2016, the arbitrage opportunities among the three RMB markets can be explored. This paper evaluates the convergence and divergence of RMB market returns by the sigma-convergence (or log t) test, which provides a more precise indication for market return convergence than does the traditional unit root test. Policy implications for the RMB arbitrage are also provided.

This paper applies a variety of short‐run and long‐run time series techniques to data on a broad group of Asia‐Pacific stock markets and the United States extending to 2010. Our empirical work confirms the importance of crises in affecting the persistence of equity returns in the Asia‐Pacific region and offers some support for contagion effects. Post‐Asian financial crisis quantile regressions yield substantial evidence of long‐run linkages between the Shanghai market, the US market and many regional exchanges. Cointegration is particularly prevalent at the higher end of the distribution. Our results suggest that the enormous growth of the Shanghai market in the new millennium has been accompanied by a meaningful level of integration with other regional and world markets in spite of ongoing capital controls.

This paper consists of two parts. In the first part, through the calculation of “binomial correlation measure”, we suggest that from the perspective of default correlation it would be better to use structural approach rather than reduced form approach for pricing derivatives with two counterparties and its CVA calculation unless default intensities follow jump-diffusion process in latter one. In the second part, we derive the pricing model for CDS with counterparty risk and its CVA calculation by Black-Cox first passage time model in structural approach. Different from most of the previous paper our recovery is based on the CDS with counterparty risk, so the pricing model is a boundary-value problem of fully-nonlinear PDE. To solve it, we introduce an approximation problem by penalty model in reduced form approach by assuming an incentive function. Also finite element method and iteration approach are used. The numerical results show the convergence of approximation problem, iteration problem and finite element method, a comparison between CVA with different recovery rules and also the impact of wrong-way risk and right-way risk on CVA.

The separation of the government from the industry in telecommunications sector was carried out in a gradualist or experimental manner to make sure a “reform without losers”. Both the supervising ministries and local governments became the “early winners” who were in favor of the status quo. A meaningful industrial reform started from 1994 but ended in 1998. China’s entry into the World Trade Organization (WTO) was just right on time to secure the outcome of the reforms. However, determined by the nature of uncompetitiveness and state monopoly, the telecommunications sector was against the liberalization requested by the GATT/WTO members. Close administrative and financial connections between the supervising ministry and subordinate sector caused a high degree of convergence of their interest that in turn implies that the ministry had strong incentives of protecting the sector. After having terminated the fragmented governance since 1995, the Ministry of Information Industry (MII) successfully prevented the sector from giving much concession compared to the other sectors during Sino- US negotiations. Although a limited concession was made, it is possible that the supervising ministries would not fulfil its commitment. On the one hand, the MII would refuse to cut off its administrative and financial ties with the enterprises. On the other hand, the enterprises would still be willing to be protected by the government for the monopolistic benefits. Even though the door is half-open to international competition, the Ministry had developed other means to block the entry of foreign service providers. A new form of fragmented governance is taking shape since 2003 when the State Asset Supervision and Administration Commission (SASAC) was founded. It created tensions between the bureaucracies and might create loopholes for the foreign entry in the future.

Following the economic theory of venture capital financing, a corporate governance framework would be economically efficient for VC investments if it can help to reduce the agency costs resulted from information and incentive problems. As a highly successful model in global VC industry, the standard VC investment contracts in the Silicon Valley practice largely embody such framework. By analyzing the currently effective laws and regulations of China that are relevant to the investments by foreign venture capitalists, this paper paints a practical picture of how can foreign VC investors do business in China. It is shown that, the recent (starting from 2005) outflow of a set of new legal norms can be seen as a dividing point for the VC investing practice in China – the previously prevalent mode “offshore structuring, offshore listing” is challenged, and both the investment and exit are gradually pulled onshore. This being said, the current Chinese laws and institutions still cannot fully entertain the contracting and governance model prevalent in the Silicon Valley VC investment practices, and in this light, this paper goes on to discuss, in particular, various strategies that may be availed by foreign VC firms to tap and/or subvert the Chinese laws and regulations when financing Chinese new ventures. Finally, under the theme of globalization and crossborder corporate governance convergence, this paper provides a general comment on the currently applicable Chinese legal framework, and stresses the importance of converging towards efficient legal rules through contracts in the global competitive village.

In a series of cross-country comparisons, we show that national culture is statistically significant in differentiating countries with different corporate governance systems. Using the Schwartz cultural value model and data on corporate governance systems, we analyze the impact of national culture on six dimensions of corporate governance. Countries that have stronger emphasis on the dimensions of Embeddedness, Hierarchy and Mastery are more likely to have a bank-based system, countries with a stronger emphasis on Autonomy, Egalitarianism and Harmony tend to have market-based systems. The findings suggest several implications for the ongoing debate on convergence and divergence of corporate governance systems.

We examine the wealth effects of three regulatory changes designed to improve minority-shareholder protection in the Chinese stock markets. Using the value of a firm's related-party transactions as an inverse proxy for the quality of corporate governance, we find that firms with weaker governance experienced significantly larger abnormal returns around announcements of the new regulations than did firms with stronger governance. This evidence indicates that securities-market regulation can be effective in protecting minority shareholders from expropriation in a country with weak judicial enforcement. We also find that firms with strong ties to the government did not benefit from the new regulations, suggesting that minority shareholders did not expect regulators to enforce the new rules on firms where block holders have strong political connections.

This paper contributes to the development of recent literature on the explanation power and calibration issue of heterogeneous asset pricing models by presenting a simple stochastic market fraction asset pricing model of two types of traders (fundamentalists and trend followers) under a market maker scenario. Statistical analysis based on Monte Carlo simulations shows that the long-run behaviour and convergence of the market prices, long (short)-run profitability of the fundamental (trend following) trading strategy, survivability of chartists, and various under and over-reaction autocorrelation patterns of returns can be characterized by the stability and bifurcations of the underlying deterministic system. Our analysis underpins mechanism on various market behaviour (such as under/over-reactions), market dominance and stylized facts in high frequency financial markets.