证券交易者行为的进化博弈分析

运用进化博弈理论，构造证券交易者进化博弈模型，模拟市场中理性交易者与噪声交易者相互转换的过程，说明二者之间存在动态均衡，这种均衡受到交易者对证券收益的预期与噪声交易风险的影响。  

Noise trading and prime and score premiums

This paper documents that a common element drives the time-series variation of the premium pricing of Primes and Scores. I argue that this common element is noise trading. The noise trading model of Delong, Shleifer, Summers and Waldmann (1990) predicts that returns on assets that are predominantly traded by noise traders will be correlated, since the misperceptions of noise traders are cross-sectionally correlated. Consistent with the noise trading hypothesis, changes in the average premium of Primes and Scores, which are predominantly traded by individual investors, are correlated with both changes in average discounts of closed-end funds and small firms returns. These empirical facts provide additional evidence that noise traders can affect security prices.  

Informational leverage: the problem of noise traders

The literature suggests that security design can be used to manipulate the information content of securities prices [what is referred to as the “informational leverage effect” in Boot and Thakor (J Finance 48, 1349–1378, 1993)]. The informational leverage effect arises in this literature in a market microstructure environment in which noise trade is exogenous, which is a fairly standard assumption dating back to the framework developed in Grossman and Stiglitz (Am Econ Rev 70, 393–408, 1980). This assumption is relaxed in our paper, and we show that the informational effects described in the related literature become less clear cut when noise trading activity is endogenous. We find that the intensity and direction of these effects depends crucially on the parameters describing the modeling environment. The elegant point of the informational leverage literature is that these effects arise largely independently of such parameters, but with endogenous noise trading that is no longer true. This literature may, therefore, lead to too strong conclusions being drawn about the relationship between information revelation and security design. We are very grateful for the helpful comments made by an anonymous referee.  

Does Cross-Listing Really Enhance Market Efficiency for Stocks Listed in the Home Market? The Perspective of Noise Trading in the Chinese Stock Market

The investor recognition hypothesis and the bonding hypothesis, which help us understand the market quality of stocks that are cross-listed on different stock markets, imply improved market efficiency after cross-listing because of increased investor participation. However, the noise trading of inexperienced investors in the Chinese stock market negatively affects market efficiency. By employing propensity score matching and multivariate regression analysis, we show that the increased individual investor participation actually lowers market efficiency in their home market after cross-listing. This effect is more evident for stocks that were either listed first on the Chinese stock market or listed on the Chinese stock market and the Hong Kong stock exchange (SEHK) on the same date than for stocks that were listed first on the SEHK.  

A behavioural model of investor sentiment in limit order markets

By incorporating behavioural sentiment in a model of a limit order market, we show that behavioural sentiment not only helps to replicate most of the stylized facts in limit order markets simultaneously, but it also plays a unique role in explaining those stylized facts that cannot be explained by noise trading, such as fat tails in the return distribution, long memory in the trading volume, an increasing and non-linear relationship between trade imbalance and mid-price returns, as well as the diagonal effect, or event clustering, in order submission types. The results show that behavioural sentiment is an important driving force behind many of the well-documented stylized facts in limit order markets.  

我国投资者情绪与股票收益实证研究

根据投资者情绪是股票价格形成重要影响因素这一研究观点,围绕投资者情绪是否构成系统性风险及其对不同类型股票的差异化影响,运用我国股市交易数据进行的实证研究结果表明,投资者情绪不构成股市的系统性风险,但对不同市值的股票有着差异化的影响,随着股票的"投机性"增加,投资者情绪对其影响也增大.此外,投资者情绪会削弱股票收益与其波动的正相关性,且对于"投机性"越高的股票,这一影响也越大.  

Long-lived information and intraday patterns

This paper studies the effect of clustering of liquidity trades on intraday patterns of volatility and market depth when private information is long-lived. The assumption of long-lived information allows us to distinguish between the patterns of information arrival and information use. Our results are: (i) volatility follows the same pattern as liquidity trading, (ii) there are no systematic patterns in the price impacts of orders, and (iii) the timing of information arrival is unimportant. Result (i) is the same as that obtained by Admati and Pfleiderer (1988) in a model of short-lived private information, but (ii) and (iii) are different.  

Front-Running by Mutual Fund Managers: A Mixed Bag

This paper evaluates the welfare implications of front-runningby mutual fund managers. It extends the model of Kyle (1985)to a situation in which the insider with fundamentals-informationcompetes against an insider with trade-information and in whichnoise trading is endogenized. Noise traders are small investorstrading through mutual funds to hedge non-tradable or illiquidassets. The insider with trade-information is one of the fundmanagers. We find that her front-running activity reduces theliquidity costs of her customers, but it also reduces theirhedging benefits. As a result, the customers of the front-runningmanager may be worse off and place smaller orders. The oppositeis true, however, for those investors who are not subject tofront-running. In aggregate, front-running has either no orpositive consequences for welfare. JEL Classification. G14,G23.