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.

In order to reveal the impact of securities investment fund behavior on market quality, this paper starts from the perspective of microstructure of the securities market and utilized the transactional accounts of Shanghai Stock Exchange(SSE) to analyze the effect of impact on market quality (including liquidity, volatility and information efficiency) by securities investment funds by applying the cross-sectional model. The empirical result showed that institutionalization of the structure of domestic investors hasn’t improved market quality significantly. The increase (decrease) of positions by funds has significant impact on immediate liquidity and possesses permanent shocking characteristics. Net changes of positions by funds have led to higher hetero-volatility, whereas funds，functioning as institutional investors, do stabilize market to some degree in the adjustment phase of bull market, especially during the market turbulence of “2.27” and “5.30” in 2007; during the rising phases of stock market, the changes of positions by funds will improve market liquidity and enhance informational efficiency of securities market.

This paper investigates the volatility and turnover effects of underlying stocks associated with the introduction of warrants in China’s warrants market. We find that in a derivative market where noise traders dominate, the introduction of warrants increases the underlying stock’s volatility, which cannot be attributed to better information revelation. We also find that speculation on derivatives has a spillover effect on the underlying security. Higher volatility and turnover rate of underlying stocks are associated with higher warrants turnover, larger warrants price deviation from theoretical prices, and longer time to maturity of warrants. Additionally, we find that stocks with covered warrants have higher volatility and turnover than those with only equity warrants. Our paper provides new evidence for the impact of derivatives on underlying assets in the emerging market context.

This paper examines the effects of the agency costs on firm performance in 156 Chinese publicly listed companies with private ultimate owners between 2002 and 2007. The ultimate owners’ agency costs are measured by the divergence between cash flow rights and control rights. Agency costs are shown to negatively and significantly affect firm performance, as measured by Tobin’s Q. A major contribution of this paper is to identify connected party transactions as a channel through which such agency costs exert negative impact firm performance. Evidence from the public record of law violations of those firms lends further support to the “tunneling” view on the connected party transactions. The paper also shows that the larger the divergence, the less likely that firm managers will implement value-increasing industrial diversification. The last finding remains a puzzle.