The independent directors of a board can impact CEO pay-performance more effectively if a compensation committee provides information and assist them in designing relevant executive pay schemes. On the basis of this idea, we developed and tested the hypotheses that Chinese firms with a compensation committee have a closer CEO pay link with performance when a larger proportion of independent directors serves on the board. We focused primarily on the effect of a compensation committee on CEO pay-performance relation as a consequence of its help for the board and found that board independence produces a stronger relationship between executive compensation and firm performance in Chinese listed firms. This association is more evident in those firms which have a compensation committee. Our findings suggest that the interaction between independent directors on the board and a compensation committee has important consequences for CEO incentive systems as well as corporate governance structures in China.

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.

We investigate the following important questions in international business: How do MNEs choose ownership strategies when facing strong uncertainty in foreign market entries? How are the choices affected by industry contingencies? Following the key tenets of real options theory, we propose that, under a high level of market uncertainty, MNEs choose more flexible (rather than more committed) ownership strategies that allow adjustment of investment decisions in future. We further suggest that using flexible strategies in response to uncertainty becomes less valuable for MNEs when the industry they enter in the host country enjoys strong sales growth potential, requires less irreversible investments, and has intense competition. Empirically, we analyze the ownership strategies (ownership structure and equity share) of over 5,000 new foreign investments in manufacturing industries in China during 2000- 2006. We find qualified support for our hypotheses and discuss the industry boundary conditions of adopting flexible ownership strategies in foreign market entries.

We document the changes in dynamic stochastic structure of the various industrial sectors of the Chinese A, B share markets and the Hong Kong share markets. We utilize a robustly estimated VECM-MV-GARCH model to test for possible co-integrating vectors between the market segmentations pre and post deregulation of the Chinese B share market. Our results suggest that before deregulation there is weak evidence of co-integration between the A and B share markets however, post deregulation the situation changes and the segments appear to be significantly co-integrated. MV-GARCH results suggest that the conditional correlations of market/sector shocks also increase significantly over the sample period.

This paper investigates whether seasonalities in daily stock returns are related to the trading behavior of individual and institutional investors. The change in the investor structure of B-share markets in Shanghai and Shenzhen after the abolition of ownership restrictions in 2001 provides a unique testing environment. We show that day-of-the-week effects are attenuated after the market entrance of Chinese individual investors, who had previously not been allowed to trade in B-shares. Our empirical results suggest that institutional rather than individual investors are a main driving force behind such anomalies. In addition, we find evidence of reduced index return autocorrelation and US spillover effects in the post-liberalization period.

We study whether firm name has an effect on firm valuation. Some Chinese firms listed on U.S. stock exchanges have the word "China" or "Chinese" included in their company names ("China-name stocks"), whereas others do not ("non-China-name stocks"). During the China stock market boom in 2007, we find that China-name stocks significantly outperform non-China-name stocks. This is not due to differences in firm characteristics, risk, or liquidity. We also find a significant increase in both abnormal returns and trading volumes of existing China-name stocks to the listing events of new Chinese initial public offerings. This "China-name effect" is largely consistent with the hypothesis that optimistic investor sentiment during the China stock market boom drives up China-name stocks more than non-China-name stocks.

As the launch of the China’s first stock index futures (SIF) approaches with no exact date for its eventual introduction. The Chinese stock market has increased dramatically due to this expectation recently, especially the futures contracts related stocks have raised significantly which are good examples of this influence. As the stock index futures is a new financial product, Chinese investors cannot help wondering whether the launch of the stock index future will have a positive or negative impact upon the underlying stock market. On the other hand, the new instruments which, will be followed by the introduction of other derivatives, will require broker-dealers to upgrade their systems and invest in new technology. Therefore, it has become pertinent to investigate the opportunities and challenges this eagerly awaited derivative instrument has to offer to fund managers in the booming Chinese economy.

Motivated by how transaction amount constrain trading volume and price volatility in stock market, we, in this paper, study the relation between volume and price if amount of transaction is given. We find that accumulative trading volume gradually emerges a kurtosis near the price mean value over a trading price range when it takes a longer trading time, regardless of actual price fluctuation path, time series, or total transaction volume in the time interval. To explain the volume-price behavior, we, in terms of physics, propose a transaction energy hypothesis, derive a time-independent transaction volume-price probability wave equation, and get two sets of analytical volume distribution eigenfunctions over a trading price range. By empiric test, we show the existence of coherence in stock market and demonstrate the model validation at this early stage. The volume-price behaves like a probability wave.

We develop a theoretical trading conditioning model subject to price volatility and return information in terms of market psychological behavior, based on analytical transaction volume-price probability wave distributions in which we use transaction volume probability to describe price volatility uncertainty and intensity. Applying the model to high frequent data test in China stock market, we have main findings as follows: 1) there is, in general, significant positive correlation between the rate of mean return and that of change in trading conditioning intensity; 2) it lacks significance in spite of positive correlation in two time intervals right before and just after bubble crashes; and 3) it shows, particularly, significant negative correlation in a time interval when SSE Composite Index is rising during bull market. Our model and findings can test both disposition effect and herd behavior simultaneously, and explain excessive trading (volume) and other anomalies in stock market.

This paper investigates the monetary policy in China over the last decades with a typical emphasis on the post-Asian crisis period. A Factor-Augmented VAR method is used to study several important monetary policy instruments and their effects on the stabilization of the Chinese economy. We find that the 7-day repo rate and a general monetary guidance, which is represented by a factor, are effective in stimulating the economic performance by promoting industrial production. However, the effects of monetary policy on price levels are still weak. A policy instrument with explicit inflation target will be a better way for China to stabilize domestic inflation, and thereby to maintain macroeconomic and financial stability.