We introduce a novel perspective on private information, specifically microstructure-based private information, to unravel how institutional investors predict stock returns. Using tick-by-tick transaction data from the Chinese stock market, we find that in retail-dominated markets, institutional investors positively predict stock returns, consistent with findings from institution-dominated markets. However, in contrast to the traditional view that institutional investors primarily rely on value-based private information, our results indicate that microstructure-based private information contributes almost as much to their predictive power as value-based private information does, with both components jointly accounting for approximately two-thirds of the total predictive power of institutional order flow. This finding reveals that retail investors’ trading activities significantly impact institutional investors, naturally forcing them to balance firm value information with microstructure information, thus profoundly influencing the price discovery process in the stock market.

This study is the first to examine China’s crude oil options market. Using high-frequency data and three different price discovery measures, we conduct a rigorous analysis and find that after its first 8 months of operation, China’s crude oil options market has already played an important role in price discovery. Factors such as volume, volatility, and speculation can impact its price discovery ability. We also find a unique phenomenon in China’s crude oil derivatives market, namely that speculative activity mainly occurs in the futures market and adds to the price discovery of the futures market rather than to the options

Using the introduction of margin trading in China, this study examines the effects of margin trading on the informativeness of trades and stock market liquidity. Using the methodology of Hasbrouck (1991 and 1993), I find that allowing investors to trade on margin leads to more informed trading. This increase in informed trading is mirrored by an increase in the adverse selection component of the bid-ask spread and a decrease in the relative weight placed on public information in trading decision. The discussed findings are more pronounced for stocks with relatively high levels of margin trading. Overall, the findings in the paper suggest that margin trading may lead to more information-based trading and lower levels of stock market liquidity.

We propose a new joint model of intraday returns and durations to study the dynamics of several Chinese stocks. We include IBM from the U.S. market for comparison purposes. Flexible innovation distributions are used for durations and returns, and the total variance of returns is decomposed into different volatility components associated with different transaction horizons. Our new model strongly dominates existing specifications in the literature. The conditional hazard functions are non-monotonic and there is strong evidence for different volatility components. Although diurnal patterns, volatility components, and market microstructure implications are similar across the markets, there are interesting differences. Durations for lightly traded Chinese stocks tend to carry more information than heavily traded stocks. Chinese investors usually have longer investment horizons, which may be explained by the specific trading rules in China.

We hypothesize and test an inverse relationship between liquidity and price volatility derived from microstructure theory. Two important facets of liquidity trading are examined: thickness and noisiness. As represented by expected volume (thickness) and realized average commission cost per share (noisiness) of NYSE equity trading, both facets are found negatively associated with ex post and ex ante price volatilities of the NYSE stock portfolios and the NYSE composite index futures. Furthermore, the inverse association between volatility and noisiness is amplified in times of market crisis. The overall results demonstrate that volatility increases as noise trading declines. All findings retain statistical significance and materiality after controlling for a number of specifications. This inverse liquidity-volatility relationship reflects a microstructure interpretation of the liquidity risk premium documented in the asset pricing literature.

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 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.

We examine the effect of illiquidity discount on stock prices on the warrants prices in China. We construct measures of liquidity based on market microstructure models, and find that they explain a significant portion of the cross-section variation in the warrants pricing biases and implied stock discounts in the market. We conclude that, due to the T+1 rule in Chinese stock market, equity market is illiquid relative to the warrants market that doesn’t bear the T+1 rule. This imposed illiquidity cause the discount on the stock price, which is not reflected in the warrants market. Thus the illiquidity in stock market contributes to the pricing bias in warrants market.

We extend the research of Michael Frenkel and christiane Nickel (2001) and present a modified Dornbusch overshoot model to study the impacts of different control degree of different capital on price-exchange rate system with a microstructure in foreign exchange market in the steady state. It is found that the impact on the stability of price-exchange rate system is an alternative choice between saddle stability and entire stability.

We propose a dynamic equilibrium model of asset prices and trading volume with heterogeneous agents facing fixed transactions costs. We show that even small fixed costs can give rise to large “no-trade” regions for each agent’s optimal trading policy and a significant illiquidity discount in asset prices. We perform a calibration exercise to illustrate the empirical relevance of our model for aggregate data. Our model also has implications for the dynamics of order flow, bid/ask spreads, market depth, the allocation of trading costs between buyers and sellers, and other aspects of market microstructure.