This paper considers informed traders’ trading strategies in a bear market. Known as stealth trading, one strategy of informed traders’ is to use medium-size trades, which tend to contain more information than small- and large-size ones and thus to have stronger impact on stock price movement. Using the tick-by-tick data of Shanghai 180 Index Component Stocks, we document the strong pattern of stealth trading in Chinese stock market during the period of June 1, 2004 to May 31, 2005, which is: (1) an order-driven market; (2) a market that has limit orders only; (3) a bear market; (4) a market with no corresponding derivative market; (5) a market with short-selling constraints; (6) an emerging market. The results extend the empirical evidence on the stealth trading by documenting the fact that price movements are mainly due to the medium-size trades. We find that the pattern in a bear market is highly consistent with that in a bull market. First, we observe that the per-transaction stock price changes in different trade-size categories exhibit a clear U-shape and only the price changes induced by medium-size trades are consistent with the market movement direction. We formally test the stealth trading as well as four alternative hypotheses, and conclude that stealth trading hypothesis can correctly explain this phenomenon. Second, the evidence shows that the medium- size trades have stronger impacts on price change s in the stocks whose price movements are highly consistent with the market (in our study, it refers to those stocks with severely low cumulative return in the sample period). Third, we further document that there is strong interaction between stealth trading hypothesis and order imbalance hypothesis. However, after controlling the effect of order imbalance, the stealth trading hypothesis still holds, but the magnitude is much lower. It is suggested that the follow-up researchers take into consideration the effect of order imbalance, when confirming the existence or the magnitude of the stealth trading.

In 2005-2006 China reformed its stock market by eliminating non-tradable shares. The regulator set general guidelines and then assigned responsibility for implementation to each company. We derive relations that should have been followed by the prices of stocks and exploit a company-level data set to compare the actual and the theoretical price reactions. We find evidence for abnormal returns both before the beginning of the reform and during the reform. Cross-sectionally, abnormal returns are associated mainly with turnover and compensation. This shows that in a speculative market, investors do not properly react to unambiguous corporate actions.

This paper studies the links between fundamental value and market price of the companies listed in both mainland A-share and Hong Kong H-share markets. As the valuation model has been inadequately applied in the literature, this study theoretically clarifies that the dividends discount model (DDM) and it derivatives are suitable for firms, but not for general consumers and investors, to evaluate equity fundamental values. Thus, using DDM and its derivatives to determine the market price of equity, which has been done in many other studies, is problematic. This paper also empirically studies how accounting data determines fundamental values of equities using a pooled-data vector autoregressive method. It indicates that although fundamental value can be a benchmark for investors to price equity, prices of equity may deviate from fundamental values substantially for a long time due to differences in preference and the extent of risk aversion between A-shares and H-shares. Correlation between equity price and its fundamental value for H-shares is larger than the correlation for A-shares. This paper also explains why there has been a big price gaps between A-shares and H-shares with exactly the same yields rights. The estimates of fundamental value for each company help investors make rational investment decisions. It suggests that, in the long run, healthy development of Chinese securities markets will depend on the progress of privatisation and marketisation of the Chinese economy. Measures such as the Qualified Foreign Institutional Investors (QFII) and Qualified Domestic Institutional Investors (QDII) programmes should be adopted to improve the efficiency of financial resources utilisation in mainland China, despite the short-run pressure that may put on A-share markets.

This paper explores the determinants of B-share discounts in the Chinese stock market based on a unique regulatory change in 2001. We find that the B-share discounts declined substantially after the lifting of restrictions on foreign ownership in China, but the H-share discount remained virtually unchanged. Using the intraday data, we find that information flows from the B-share markets to the A-share markets increase significantly after the event, because domestic investors rush into the B-share markets. Using various cross-sectional analyses, we also find that relative supply and behavior factors such as relative spread (or liquidity) and relative risk affect the discounts throughout the sample period.

This paper explores the determinants of B-share discounts in the Chinese stock market based on a unique regulatory change in 2001. We find that the B-share discounts declined substantially after the lifting of restrictions on foreign ownership in China, but the H-share discount remained virtually unchanged. Using the intraday data, we find that information flows from the B-share markets to the A-share markets increase significantly after the event, because domestic investors rush into the B-share markets. Using various cross-sectional analyses, we also find that relative supply and behavior factors such as relative spread (or liquidity) and relative risk affect the discounts throughout the sample period.

In this paper, I apply the GARCH-class models to Chinese stock market. And I analyze the characteristics of the volatility of Chinese stock market .By comparing the models, I conclude that EGARCH model and EGARCH-M model have almost the same efficiency in Shanghai Stock Exchange (SHSE) and Shenzhen Stock Exchange (SZSE). Then I use the estimated model to forecast the volatilities for these two stock exchanges.

While the vast majority of the literature reports momentum profitability to be overwhelming in the U.S. market and widespread in other countries, this paper finds that the pure momentum strategy in general does not yield excess profitability in the Chinese stock markets. We find instead strong mean reversion with an average half-life slightly shorter than one year. A pure contrarian investment strategy produces positive excess returns and in general outperforms the pure momentum strategy. Furthermore, momentum may interact with mean reversion. A strategy based on the rolling-regression parameter estimates of the model combining mean reversion and momentum generates both statistically and economically significant excess returns. The combined strategy outperforms both pure momentum and pure contrarian strategies. We conduct a number of robustness tests and confirm the basic findings. Collectively, our results seem to support the overreaction hypothesis.

套期保值者所面对的主要风险是基差风险，传统套期保值（1：1套保）在实际运用中经常会由于基差的剧烈波动而造成额外的损失。本文通过对沪铜历史数据的研究，利用OLS，ECM，ECM-GARCH等模型对各种方法所获得的套期保值比率进行了验证

This study examines the relations between leverage and investment in China’s listed firms, where corporate debt is principally provided by stateowned banks. We obtain three major findings. First, there is a negative relation between leverage and investment. Second, the negative relation between leverage and investment is weaker in firms with low growth opportunities and poor operating performance than in firms with high growth opportunities and good operating performance. Third, the negative relation between leverage and investment is weaker in firms with a higher level of state shareholding than in firms with a lower level of state shareholding. Overall, our results are consistent with the hypothesis that the state-owned banks in China impose fewer restrictions on the capital expenditures of low growth and poorly performing firms and also firms with greater state ownership. This creates an over-investment bias in these firms.

We developed a theoretical framework which articulates the relationship between global and local experiences of the venture capitalists investing in China and the risk mitigation strategies they employ. We predicted that venture capitalists with little experience are more likely to join syndicates. We also predicted that the relationship between late stage strategic focus and VCs’ global and local experiences is positive. We tested our hypotheses using database covering all first round venture related investments made by foreign VCs in China until Oct 2006. Controlling for a variety of factors our data supported our predications.