沪深A股市场惯性效应和反转效应研究
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摘要
我国沪深A股市场经过二十多年的发展,取得了很大成就,但与西方成熟股市相比,沪深A股市场仍存在许多问题,如中小投资者比例高、内幕交易和市场投机严重、金融产品单一及缺乏有效的避险工具等,因此我国沪深A股市场仍处于非有效市场水平,存在股价的惯性效应和反转效应异象。
近年来,“惯性效应”和“反转效应”作为令人迷惑的股票市场异象,已经成为金融学界关注的热点问题,关于这些现象的实证检验和形成机理的研究直接推动了证券市场微观理论及行为金融理论的发展。根据行为金融理论的观点,“惯性效应”显示股价对信息的反应不足,“反转效应”显示股价对信息的过度反应。研究过度反应和反应不足现象的存在性一方面有助于验证有效市场假说的正确性,另一方面可以指导投资者选择更有效的投资策略,通过反转投资策略或惯性投资策略进行套利活动。因此关于“惯性效应”和“反转效应”异象的研究不仅具有重大的学术意义,也具有很强的应用价值。
本文从理论和实证两个角度全面探讨了我国沪深A股市场惯性及反转效应异象及影响因素、形成原因,对沪深两市异象特征及影响因素进行了系统比较,并在实证检验基础上就中国股票市场交易机制和交易者行为提出相关建议。本文的研究内容主要包括:第一,分别以沪深A股市场作为两个研究个体,同时,为了保持沪深A股市场连贯的股票价值评估模式和足够的研究样本数量,避免由于股权分置改革所导致的市场差异性,选择了1997年1月1日至2005年4月30日沪深A股市场数据作为研究对象,研究在六种形成期交叉搭配六种持有期下,沪深A股市场中各自执行惯性策略或反转策略的显著获利模式。第二,从市场状态因子和个股特征因子这两个维度出发,分别检验不同因子作用下沪深A股市场惯性及反转策略的获利模式,并对不同因子下两市异象的表现差异性进行了比较,以进一步考察在加入各种市场状态因子和个股特征因子情况下,沪深A股市场惯性与反转策略获利模式的特性。第三,在上述两步基础上,结合国外研究的成果并考虑国内沪深股市的特点,筛选了计量沪深A股市场目标股票的十个因素,采用Fama-Macbeth模型进行指标的敏感性分析,即首先分别对沪深A股市场十个因素进行单因素敏感性分析,筛选出较敏感的因素并分别对沪深股市进行两两因素的敏感性分析,在两两因素敏感性分析基础上继续筛选出敏感因素作进一步的三三因素分析和相关的动态组合检验,通过Fama-Macbeth模型对沪深A股市场截面风险补偿与惯性和反转策略收益分解进行分析,探讨导致沪深A股市场不同股票惯性策略获利性差异的敏感因素。最后采用Fama-French三因子模型分别对沪深A股市场进行市场风险、规模效应、净值市值比效应的检验。第四,从证券市场的微观结构出发,运用Hasbrouck模型,通过分析目标股票的实时买卖交易价格中包含的信息不对称性,探讨沪深A股市场知情交易者掌握的私有信息与导致沪深A股市场股票价格惯性和反转效应异象之间的关系,并对沪深A股市场的股价信息不对称性及其原因进行比较和分析。第五,进一步从投资者行为角度出发,将投资者分为知情交易者和非知情交易者,运用投资者心理模型,通过对投资者的守旧性和表征性启发式思维方式的分析,说明投资者行为方式对形成股市异象的影响,并进一步从博弈论角度探讨了两类交易者的交易策略,阐述引起沪深A股市场惯性和反转效应异象的形成机理。
现将论文的主要研究结论总结如下:
1、沪深A股市场在不同形成期搭配不同持有期下,执行惯性策略和反转策略的获利性方面具有很强的联动性,两市均表现为短期的惯性收益,中期的反转收益,长期的惯性收益现象;且沪深两市均表现了“强者衡强,弱者衡弱”、“追涨杀跌”的反应强度,但深市比沪市表现出更强烈的惯性策略获利性。
2、沪深A股市场的股票收益率受不同市场状态因子和个股特征因子的影响,其中个股特征因子对沪深A股市场影响显著,沪深A股市场在不同因子作用下具有相似的反应趋势,但深市表现出更强的惯性收益特征。
3、采用Fama-Macbeth模型对导致沪深A股市场不同股票惯性策略获利性差异的敏感因素进行分析,发现影响沪深股市股票回报率变动的共同因素是流通市值效应和价格效应,此外换手率效应对沪市股票回报率有大的影响,而深市的股票回报率还受交易金额效应和换手率效应大的影响;另一方面我们发现市场系统风险β值对深市股票的平均回报率有较大的负向影响,而对沪市股票的平均回报率影响不大。由此表明深市的市场风险大于沪市。
4、我们在进行沪深A股市场的Fama-French三因素模型检验中发现,规模效应和市值净值比效应对沪深A股市场均具有显著的影响。三因子模型进一步证明尽管两市同时反映出具有净值市值比效应,但规模效应对两市具有更显著的影响性。另外,三因子模型的实证结果也显示出,与沪市相比,深市承受的市场风险高于沪市,受账面市值比因子的影响小于沪市。
5、采用Hasbrouck模型从信息传播模式角度探讨了沪深A股市场惯性与反转效应异象的形成机理,发现沪深A股市场中知情交易者掌握的私有信息分别是导致两市股票价格惯性和反转效应异象的重要因素。受我国沪深A股市场投资者结构特殊性的影响,Hasbrouck模型显示的沪深A股市场的市场交易信息含量统计结果呈现两头不对称的哑铃形状,即交易信息含量比重很高的股票比例大大小于交易信息含量比重低的股票比例,实证结果不同于美国纽约股票交易市场采用Hasbrouck模型呈现的纺锤形状,即两头比例很低,结果基本集中在平均值附近。由此解释了与成熟股市相比,我国沪深A股市场存在严重的信息不对称,“庄股”现象横行的现象。另外也说明我国证券市场的投资者投资技巧和研究水平与发达国家相比仍处于不成熟状态,投资者更热衷于通过内幕信息获利,这是导致市场规范度低的原因之一。
6、从沪深A股市场中的投资者行为方式看,我们发现两市的投资者行为符合守旧性和表征性启发式思维方式,这从投资者心理学角度解释了导致沪深A股市场存在惯性效应和反转效应的原因。从投资者行为角度看,在以散户为主的沪深A股市场,庄家与散户博弈的过程中采取欺诈行为以及散户采取跟庄行为,是导致沪深A股市场存在惯性效应和反转效应的重要原因。
论文主要创新点:
1.采用严格规范的实证研究方法,分别以沪深A股市场作为两个研究个体,对两市的惯性与反转效应异象进行检验和全面比较,发现沪深A股市场均具有惯性与反转异象,两市场具有明显的联动性,但从反应强度上看,深市显示了更强的惯性效应。
2.沪深两市所表现出的惯性和反转效应异象的差异性表明两市具有不完全相同的运行规律,由此导致两市投资者获利策略也不尽相同。本文的研究比较了沪深两市不同的运行特征,指出投资者需要根据自身的投资目标,针对不同的市场运行特征采取不同的投资策略,本研究填补了现有研究沪深A股市场运行特征的空缺。
3.运用Hasbrouck模型通过分析股票成交价、成交量之间关系,检验沪深A股市场中价格包含的信息不对称性及其影响程度,首次发现我国沪深A股市场的目标股票的股价信息含量呈现两头不对称的哑铃形状,该结果不同于美国纽约股票交易市场相关股票的股价信息含量呈现趋向于均值的纺锤形状。实证结果一方面显示出我国以散户为特征的市场结构对信息处理能力弱,无法主动获得且无能力加工相应的市场信息,另一方面也显示出沪深市场上庄家凭借资金、人才等实力,对少数股票拥有内幕信息并以此获利的事实,同时实证结果也说明了导致我国证券市场规范度低的原因之一是投资者投资技巧和研究水平与发达国家相比仍处于不成熟状态,投资者更热衷于通过内幕信息获利。对扩展金融微观结构理论运用范畴作了有益尝试。
4.与现有对我国股市价格包含不对称信息的相关研究相比,本文采用Hasbrouck模型对沪深A股市场信息不对称性的研究更加全面和系统,避免了现有研究中采用百分比均值形式对两市不对称信息单一、粗糙描述的现状,提高了研究结果对现象的揭示和反映能力。
5.尝试采用投资者心态模型从投资者的守旧性和表征性启发式思维方式角度解释沪深A股市场惯性及反转效应异象形成的原因,并采用沪深A股市场的实际交易数据进行模拟验证。模拟结果从投资者行为角度进一步验证了投资者思维模式对我国沪深A股市场惯性及反转效应异象的产生有影响作用。
After twenty years’development, the A-share stock market of China has achieved great success. However, compared with the mature western markets, there are still many problems occurred in our market, such as: the abnormal high proportion of individual investors, insider trading, severe speculation, rare financial products and the shortage of effective risk prevention tools. Therefore, the Shanghai and Shenzhen A-share stock markets are not effective market, momentum and contrarian anomalies exist.
For the past few years,‘momentum’and‘contrarian’, as confusing stock market anomalies, have become hotspots in the financial study. Empirical study on the phenomenon and research on the forming mechanism directly drive the development of securities market’s microscopic theory and behavior financial theory. According to behavior financial theory,‘momentum’reveals the hypo react of stock price to information, while‘contrarian’reveals overreact. Study about the existence of these phenomenon helps to verify the effective market hypothesis, on the other hand, it also helps to guide the investors to choose more effective invest strategies to get arbitrage according momentum or contrarian investment strategy. Accordingly, the study on the‘momentum’ and‘contrarian’anomalies not only has significant academic meaning, but also makes great sense in the real stock market.
The paper fully discusses the phenomenon and its influence and reason of Shanghai and Shenzhen A-share stock markets from both aspects of theory and empirical, systematically compares the abnormal phenomenon and its influence factors, and proposes suggestions on the market exchange mechanism and investor behavior based on empirical study. The content include: 1. Take the two A-share stock markets - Shanghai and Shenzhen– as two separate study units.To keep the consistency of stock valuation model and the sufficiency of study sample in the Shanghai and Shenzhen A-share stock markets, and to avoid the influence of market otherness caused by the non-tradable shares reform, this paper selects the market data from 1st Jan 1997 to 30th Apr 2005 in the Shanghai and Shenzhen A-share stock markets as study object, to study the significant profit model on momentum or contrarian strategy on the basis of 6 ranking periods cross arrange with 6 holding periods. 2. Take market factor and characteristic of individual stock factor as two basic dimensions and test the momentum and contrarian profit models affected by other different factors. Moreover, compare the behave discrepancy of the two markets’anomalies under affection of different factors to further investigate the profit model of market momentum and contrarian character with various market factors and characteristic of individual stock factors added. 3. Based on the first two steps and combined with the fruit of foreign study and the character of Shanghai and Shenzhen market, this paper filters 10 factors to measure the object stocks, using the sensitivity analysis of Fama-Macbeth model. The process is that: do one factor sensitivity analysis separately on the ten factors of Shanghai and Shenzhen markets at first, to filter more sensitive factors to do two-two factor sensitivity analysis. Moreover, filter again and choose again to do three-three factor analysis. We use Fama-Macbeth model to study the cross-sectional risk factors, and momentum and contrarian strategies’profit, to find the sensitivity factors that influence the profitability of momentum strategy in Shanghai and Shenzhen A-share stock markets. Finally, we separately test the effect of market risk, size and book-to-market value of equity through Fama-French three factor models in Shanghai and Shenzhen markets. 4. Considering the micro-mechanism of the securities market, we choose the Hasbrouck Model. We analyse the asymmetric information included in the real-time bargaining price of the target stock. We also do research on the relations between the private information known to the informed investor, and the momentum and contrarian anomalies of the stock price in the Shanghai and Shenzhen A-share stock markets. Furthermore, the asymmetric information of the stock price in the Shanghai and Shenzhen A-share stock markets, and the reason of it, are compared and analysed. 5. We divide the investors into informed investors and uninformed investors from the investor behavior aspect and analyze the conservatism and representataiveness heuritic through investor psychological model to further expound the influence on stock market anomalies that investor behavior manner exerts. At same time, we discuss the trade strategies of the two investors under situations of symmetric and asymmetric information from game theory aspect, and analyze the form mechanism of momentum and contrarian effect in Shanghai and Shenzhen A-share stock markets.
The main conclusions of this paper are as follows:
Firstly, under the precondition of different ranking periods cross arrange in pairs with different holding periods in the A-share stock market, the profit effect of momentum strategies are linked much with contrarian strategies. Both the Shanghai and Shenzhen markets register as momentum win in short-term, contrarian win in middle-term and momentum win in long-term. Moreover, both markets reflect the phenomenon that‘the winner will always be a winner, and the loser will always be a loser’, and‘buy when it is going up, sell when it is going down’. However, the Shenzhen stock market appears stronger momentum win than Shanghai.
Secondly, the earning yield of Shanghai and Shenzhen A-share stock markets is affected by different market factors and individual stock characteristic factors, while individual stock characteristic factors have significant effect. The reactions of Shanghai and Shenzhen A-share stock markets affected by different factors are the same, while Shenzhen appears a stronger momentum return character.
Thirdly, the paper analyzes the sensitivity factors that affect the profit of momentum strategy in the A-share stock market through Fama-Macbeth model and find the common factors affect stock yield in Shanghai and Shenzhen A-share stock markets are effect of outstanding stock market value and price effect. The turn effect has great influence on stock yield in the Shanghai market while in the Shenzhen market volume effect and turn effect both have great influence. On the other hand, we find bate, which is market systematic risk, has significant negative effect on the average stock yield in Shenzhen A-share stock market. However, the influence in Shanghai is not significant, which indicates a higher market risk in Shenzhen.
Fourthly, when we do the test of Fama-French three factor model in Shanghai and Shenzhen stock markets, we find that effect of size and effect of book-to-market value of equity have significant influence in both Shanghai and Shenzhen markets. The test further testifies that although both markets have effect of book-to-market value of equity, the size effect has more notable influence. In addition, the empirical study of three factor model also shows that Shenzhen market bears a higher market risk compared with Shanghai market, and the influence of book-to-market value of equity is lower in Shenzhen.
Fifthly, we take Hasbrouck model to discuss the form mechanism of momentum and contrarian anomalies in Shanghai and Shenzhen A-share stock markets from the aspect of information spread pattern and find that private information held by informed investors is an important factor that causes the anomalies. Affected by the investor structure’s particularity, the result of market trade information in Shanghai and Shenzhen A-share stock markets shown by Hasbrouck model is a dumbbell shape with both ends dissymmetrical. It is said that the proportion of stocks that contain a lot of trade information is much less than the proportion of stocks that contain little. The empirical result differs from the Hasbrouck test result on the USA New York exchange market, which shows a spindle shape with few figures spread in the two ends and most centralize around the average. This result explain the phenomenon of severe asymmetric information and banker stock in Shanghai and Shenzhen A-share stock markets compared with mature stock markets. In addition, it show that the investment skills and research levels of investors in china stock markets is still juvenility. They even more fall over theirself for profit by private information, and it is one of reasons which leads low degree criterion in our markets than other country’s developed stock markets.
Sixthly, we find the investors’behavior in accordance with conservatism and representataiveness heuristic in Shanghai and Shenzhen stock markets, which explain the reason for momentum and contrarian from the investor psychology aspect. From the aspect of investor behavior, in Shanghai and Shenzhen A-share stock markets which most investors are individual investors, the bankers cheat in the gaming with private investors and private follow the bankers are important reason for the momentum and contrarian effects in Shanghai and Shenzhen markets.
The main innovative points are as follows:
1. Take strict and normative empirical study for the first time to test and fully compare the momentum and contrarian anomalies in Shanghai and Shenzhen stock markets and find both markets have momentum and contrarian anomalies. The two markets have obvious linkage, while Shenzhen market appears a more stronger momentum effect.
2. The different phenomenon of momentum and contrarian anomalies between Shanghai and Shenzhen A-share stock markets indicate that the two markets do not have the completely same operation character, and so the profit strategy is not absolutely the same. This paper compares the different operation character of the two markets and points out that the investors should take diverse investment strategy aiming at different strategy operation characters. This study fills the gap on the research of operation character in Shanghai and Shenzhen A-share stock markets.
3. By using Hasbrouck model to test the asymmetric information contained in price and its influence through the analysis of stock price and volume, we find out for the first time that market trade information contained in the object stocks in Shanghai and Shenzhen A-share stock markets is a dumbbell shape with both ends dissymmetrical, different from the study result of the New York exchange market, which shows a spindle shape with most figures centralize around the average. The empirical result reveals the poor capacity to handle the information in our stock markets with most investors are private investors. They cannot positively get the information or process it. On the other hand, the result also reveals the fact that the bankers know the inside information of a few stocks through their fund and talent people and make profit from it. At the same time,the demonstration shows that the juvenility in china stock markets of the investors’investment skills and research levels is one of reasons which leads lower degree criterion in our markets than other country’s developed stock markets. The investors even more fall over theirself for profit by private information.We make a positive attempt to extent the application of financial micromechanism theory.
4. Compared with other research on the asymmetric information contained in stock price, this paper takes Hasbrouck model to study the asymmetric information in Shanghai and Shenzhen A-share stock markets, which is more completed and systemic, and avoid to take the simple and rough index—average percentage—to describe. This change improve the reflect capability of the study to the phenomenon.
5. Try to use investor psychological model to explain the reason for the momentum and contrarian anomalies in Shanghai and Shenzhen A-share stock markets from the aspect of investors’conservatism and representativeness, and also try to verify the model result by using the exchange figures actually happened in Shanghai and Shenzhen stock markets. The outcome further testifies the model of investor thinking has influence on the cause of momentum and contrarian anomalies in our exchange markets from investor behavior point.
近年来,“惯性效应”和“反转效应”作为令人迷惑的股票市场异象,已经成为金融学界关注的热点问题,关于这些现象的实证检验和形成机理的研究直接推动了证券市场微观理论及行为金融理论的发展。根据行为金融理论的观点,“惯性效应”显示股价对信息的反应不足,“反转效应”显示股价对信息的过度反应。研究过度反应和反应不足现象的存在性一方面有助于验证有效市场假说的正确性,另一方面可以指导投资者选择更有效的投资策略,通过反转投资策略或惯性投资策略进行套利活动。因此关于“惯性效应”和“反转效应”异象的研究不仅具有重大的学术意义,也具有很强的应用价值。
本文从理论和实证两个角度全面探讨了我国沪深A股市场惯性及反转效应异象及影响因素、形成原因,对沪深两市异象特征及影响因素进行了系统比较,并在实证检验基础上就中国股票市场交易机制和交易者行为提出相关建议。本文的研究内容主要包括:第一,分别以沪深A股市场作为两个研究个体,同时,为了保持沪深A股市场连贯的股票价值评估模式和足够的研究样本数量,避免由于股权分置改革所导致的市场差异性,选择了1997年1月1日至2005年4月30日沪深A股市场数据作为研究对象,研究在六种形成期交叉搭配六种持有期下,沪深A股市场中各自执行惯性策略或反转策略的显著获利模式。第二,从市场状态因子和个股特征因子这两个维度出发,分别检验不同因子作用下沪深A股市场惯性及反转策略的获利模式,并对不同因子下两市异象的表现差异性进行了比较,以进一步考察在加入各种市场状态因子和个股特征因子情况下,沪深A股市场惯性与反转策略获利模式的特性。第三,在上述两步基础上,结合国外研究的成果并考虑国内沪深股市的特点,筛选了计量沪深A股市场目标股票的十个因素,采用Fama-Macbeth模型进行指标的敏感性分析,即首先分别对沪深A股市场十个因素进行单因素敏感性分析,筛选出较敏感的因素并分别对沪深股市进行两两因素的敏感性分析,在两两因素敏感性分析基础上继续筛选出敏感因素作进一步的三三因素分析和相关的动态组合检验,通过Fama-Macbeth模型对沪深A股市场截面风险补偿与惯性和反转策略收益分解进行分析,探讨导致沪深A股市场不同股票惯性策略获利性差异的敏感因素。最后采用Fama-French三因子模型分别对沪深A股市场进行市场风险、规模效应、净值市值比效应的检验。第四,从证券市场的微观结构出发,运用Hasbrouck模型,通过分析目标股票的实时买卖交易价格中包含的信息不对称性,探讨沪深A股市场知情交易者掌握的私有信息与导致沪深A股市场股票价格惯性和反转效应异象之间的关系,并对沪深A股市场的股价信息不对称性及其原因进行比较和分析。第五,进一步从投资者行为角度出发,将投资者分为知情交易者和非知情交易者,运用投资者心理模型,通过对投资者的守旧性和表征性启发式思维方式的分析,说明投资者行为方式对形成股市异象的影响,并进一步从博弈论角度探讨了两类交易者的交易策略,阐述引起沪深A股市场惯性和反转效应异象的形成机理。
现将论文的主要研究结论总结如下:
1、沪深A股市场在不同形成期搭配不同持有期下,执行惯性策略和反转策略的获利性方面具有很强的联动性,两市均表现为短期的惯性收益,中期的反转收益,长期的惯性收益现象;且沪深两市均表现了“强者衡强,弱者衡弱”、“追涨杀跌”的反应强度,但深市比沪市表现出更强烈的惯性策略获利性。
2、沪深A股市场的股票收益率受不同市场状态因子和个股特征因子的影响,其中个股特征因子对沪深A股市场影响显著,沪深A股市场在不同因子作用下具有相似的反应趋势,但深市表现出更强的惯性收益特征。
3、采用Fama-Macbeth模型对导致沪深A股市场不同股票惯性策略获利性差异的敏感因素进行分析,发现影响沪深股市股票回报率变动的共同因素是流通市值效应和价格效应,此外换手率效应对沪市股票回报率有大的影响,而深市的股票回报率还受交易金额效应和换手率效应大的影响;另一方面我们发现市场系统风险β值对深市股票的平均回报率有较大的负向影响,而对沪市股票的平均回报率影响不大。由此表明深市的市场风险大于沪市。
4、我们在进行沪深A股市场的Fama-French三因素模型检验中发现,规模效应和市值净值比效应对沪深A股市场均具有显著的影响。三因子模型进一步证明尽管两市同时反映出具有净值市值比效应,但规模效应对两市具有更显著的影响性。另外,三因子模型的实证结果也显示出,与沪市相比,深市承受的市场风险高于沪市,受账面市值比因子的影响小于沪市。
5、采用Hasbrouck模型从信息传播模式角度探讨了沪深A股市场惯性与反转效应异象的形成机理,发现沪深A股市场中知情交易者掌握的私有信息分别是导致两市股票价格惯性和反转效应异象的重要因素。受我国沪深A股市场投资者结构特殊性的影响,Hasbrouck模型显示的沪深A股市场的市场交易信息含量统计结果呈现两头不对称的哑铃形状,即交易信息含量比重很高的股票比例大大小于交易信息含量比重低的股票比例,实证结果不同于美国纽约股票交易市场采用Hasbrouck模型呈现的纺锤形状,即两头比例很低,结果基本集中在平均值附近。由此解释了与成熟股市相比,我国沪深A股市场存在严重的信息不对称,“庄股”现象横行的现象。另外也说明我国证券市场的投资者投资技巧和研究水平与发达国家相比仍处于不成熟状态,投资者更热衷于通过内幕信息获利,这是导致市场规范度低的原因之一。
6、从沪深A股市场中的投资者行为方式看,我们发现两市的投资者行为符合守旧性和表征性启发式思维方式,这从投资者心理学角度解释了导致沪深A股市场存在惯性效应和反转效应的原因。从投资者行为角度看,在以散户为主的沪深A股市场,庄家与散户博弈的过程中采取欺诈行为以及散户采取跟庄行为,是导致沪深A股市场存在惯性效应和反转效应的重要原因。
论文主要创新点:
1.采用严格规范的实证研究方法,分别以沪深A股市场作为两个研究个体,对两市的惯性与反转效应异象进行检验和全面比较,发现沪深A股市场均具有惯性与反转异象,两市场具有明显的联动性,但从反应强度上看,深市显示了更强的惯性效应。
2.沪深两市所表现出的惯性和反转效应异象的差异性表明两市具有不完全相同的运行规律,由此导致两市投资者获利策略也不尽相同。本文的研究比较了沪深两市不同的运行特征,指出投资者需要根据自身的投资目标,针对不同的市场运行特征采取不同的投资策略,本研究填补了现有研究沪深A股市场运行特征的空缺。
3.运用Hasbrouck模型通过分析股票成交价、成交量之间关系,检验沪深A股市场中价格包含的信息不对称性及其影响程度,首次发现我国沪深A股市场的目标股票的股价信息含量呈现两头不对称的哑铃形状,该结果不同于美国纽约股票交易市场相关股票的股价信息含量呈现趋向于均值的纺锤形状。实证结果一方面显示出我国以散户为特征的市场结构对信息处理能力弱,无法主动获得且无能力加工相应的市场信息,另一方面也显示出沪深市场上庄家凭借资金、人才等实力,对少数股票拥有内幕信息并以此获利的事实,同时实证结果也说明了导致我国证券市场规范度低的原因之一是投资者投资技巧和研究水平与发达国家相比仍处于不成熟状态,投资者更热衷于通过内幕信息获利。对扩展金融微观结构理论运用范畴作了有益尝试。
4.与现有对我国股市价格包含不对称信息的相关研究相比,本文采用Hasbrouck模型对沪深A股市场信息不对称性的研究更加全面和系统,避免了现有研究中采用百分比均值形式对两市不对称信息单一、粗糙描述的现状,提高了研究结果对现象的揭示和反映能力。
5.尝试采用投资者心态模型从投资者的守旧性和表征性启发式思维方式角度解释沪深A股市场惯性及反转效应异象形成的原因,并采用沪深A股市场的实际交易数据进行模拟验证。模拟结果从投资者行为角度进一步验证了投资者思维模式对我国沪深A股市场惯性及反转效应异象的产生有影响作用。
After twenty years’development, the A-share stock market of China has achieved great success. However, compared with the mature western markets, there are still many problems occurred in our market, such as: the abnormal high proportion of individual investors, insider trading, severe speculation, rare financial products and the shortage of effective risk prevention tools. Therefore, the Shanghai and Shenzhen A-share stock markets are not effective market, momentum and contrarian anomalies exist.
For the past few years,‘momentum’and‘contrarian’, as confusing stock market anomalies, have become hotspots in the financial study. Empirical study on the phenomenon and research on the forming mechanism directly drive the development of securities market’s microscopic theory and behavior financial theory. According to behavior financial theory,‘momentum’reveals the hypo react of stock price to information, while‘contrarian’reveals overreact. Study about the existence of these phenomenon helps to verify the effective market hypothesis, on the other hand, it also helps to guide the investors to choose more effective invest strategies to get arbitrage according momentum or contrarian investment strategy. Accordingly, the study on the‘momentum’ and‘contrarian’anomalies not only has significant academic meaning, but also makes great sense in the real stock market.
The paper fully discusses the phenomenon and its influence and reason of Shanghai and Shenzhen A-share stock markets from both aspects of theory and empirical, systematically compares the abnormal phenomenon and its influence factors, and proposes suggestions on the market exchange mechanism and investor behavior based on empirical study. The content include: 1. Take the two A-share stock markets - Shanghai and Shenzhen– as two separate study units.To keep the consistency of stock valuation model and the sufficiency of study sample in the Shanghai and Shenzhen A-share stock markets, and to avoid the influence of market otherness caused by the non-tradable shares reform, this paper selects the market data from 1st Jan 1997 to 30th Apr 2005 in the Shanghai and Shenzhen A-share stock markets as study object, to study the significant profit model on momentum or contrarian strategy on the basis of 6 ranking periods cross arrange with 6 holding periods. 2. Take market factor and characteristic of individual stock factor as two basic dimensions and test the momentum and contrarian profit models affected by other different factors. Moreover, compare the behave discrepancy of the two markets’anomalies under affection of different factors to further investigate the profit model of market momentum and contrarian character with various market factors and characteristic of individual stock factors added. 3. Based on the first two steps and combined with the fruit of foreign study and the character of Shanghai and Shenzhen market, this paper filters 10 factors to measure the object stocks, using the sensitivity analysis of Fama-Macbeth model. The process is that: do one factor sensitivity analysis separately on the ten factors of Shanghai and Shenzhen markets at first, to filter more sensitive factors to do two-two factor sensitivity analysis. Moreover, filter again and choose again to do three-three factor analysis. We use Fama-Macbeth model to study the cross-sectional risk factors, and momentum and contrarian strategies’profit, to find the sensitivity factors that influence the profitability of momentum strategy in Shanghai and Shenzhen A-share stock markets. Finally, we separately test the effect of market risk, size and book-to-market value of equity through Fama-French three factor models in Shanghai and Shenzhen markets. 4. Considering the micro-mechanism of the securities market, we choose the Hasbrouck Model. We analyse the asymmetric information included in the real-time bargaining price of the target stock. We also do research on the relations between the private information known to the informed investor, and the momentum and contrarian anomalies of the stock price in the Shanghai and Shenzhen A-share stock markets. Furthermore, the asymmetric information of the stock price in the Shanghai and Shenzhen A-share stock markets, and the reason of it, are compared and analysed. 5. We divide the investors into informed investors and uninformed investors from the investor behavior aspect and analyze the conservatism and representataiveness heuritic through investor psychological model to further expound the influence on stock market anomalies that investor behavior manner exerts. At same time, we discuss the trade strategies of the two investors under situations of symmetric and asymmetric information from game theory aspect, and analyze the form mechanism of momentum and contrarian effect in Shanghai and Shenzhen A-share stock markets.
The main conclusions of this paper are as follows:
Firstly, under the precondition of different ranking periods cross arrange in pairs with different holding periods in the A-share stock market, the profit effect of momentum strategies are linked much with contrarian strategies. Both the Shanghai and Shenzhen markets register as momentum win in short-term, contrarian win in middle-term and momentum win in long-term. Moreover, both markets reflect the phenomenon that‘the winner will always be a winner, and the loser will always be a loser’, and‘buy when it is going up, sell when it is going down’. However, the Shenzhen stock market appears stronger momentum win than Shanghai.
Secondly, the earning yield of Shanghai and Shenzhen A-share stock markets is affected by different market factors and individual stock characteristic factors, while individual stock characteristic factors have significant effect. The reactions of Shanghai and Shenzhen A-share stock markets affected by different factors are the same, while Shenzhen appears a stronger momentum return character.
Thirdly, the paper analyzes the sensitivity factors that affect the profit of momentum strategy in the A-share stock market through Fama-Macbeth model and find the common factors affect stock yield in Shanghai and Shenzhen A-share stock markets are effect of outstanding stock market value and price effect. The turn effect has great influence on stock yield in the Shanghai market while in the Shenzhen market volume effect and turn effect both have great influence. On the other hand, we find bate, which is market systematic risk, has significant negative effect on the average stock yield in Shenzhen A-share stock market. However, the influence in Shanghai is not significant, which indicates a higher market risk in Shenzhen.
Fourthly, when we do the test of Fama-French three factor model in Shanghai and Shenzhen stock markets, we find that effect of size and effect of book-to-market value of equity have significant influence in both Shanghai and Shenzhen markets. The test further testifies that although both markets have effect of book-to-market value of equity, the size effect has more notable influence. In addition, the empirical study of three factor model also shows that Shenzhen market bears a higher market risk compared with Shanghai market, and the influence of book-to-market value of equity is lower in Shenzhen.
Fifthly, we take Hasbrouck model to discuss the form mechanism of momentum and contrarian anomalies in Shanghai and Shenzhen A-share stock markets from the aspect of information spread pattern and find that private information held by informed investors is an important factor that causes the anomalies. Affected by the investor structure’s particularity, the result of market trade information in Shanghai and Shenzhen A-share stock markets shown by Hasbrouck model is a dumbbell shape with both ends dissymmetrical. It is said that the proportion of stocks that contain a lot of trade information is much less than the proportion of stocks that contain little. The empirical result differs from the Hasbrouck test result on the USA New York exchange market, which shows a spindle shape with few figures spread in the two ends and most centralize around the average. This result explain the phenomenon of severe asymmetric information and banker stock in Shanghai and Shenzhen A-share stock markets compared with mature stock markets. In addition, it show that the investment skills and research levels of investors in china stock markets is still juvenility. They even more fall over theirself for profit by private information, and it is one of reasons which leads low degree criterion in our markets than other country’s developed stock markets.
Sixthly, we find the investors’behavior in accordance with conservatism and representataiveness heuristic in Shanghai and Shenzhen stock markets, which explain the reason for momentum and contrarian from the investor psychology aspect. From the aspect of investor behavior, in Shanghai and Shenzhen A-share stock markets which most investors are individual investors, the bankers cheat in the gaming with private investors and private follow the bankers are important reason for the momentum and contrarian effects in Shanghai and Shenzhen markets.
The main innovative points are as follows:
1. Take strict and normative empirical study for the first time to test and fully compare the momentum and contrarian anomalies in Shanghai and Shenzhen stock markets and find both markets have momentum and contrarian anomalies. The two markets have obvious linkage, while Shenzhen market appears a more stronger momentum effect.
2. The different phenomenon of momentum and contrarian anomalies between Shanghai and Shenzhen A-share stock markets indicate that the two markets do not have the completely same operation character, and so the profit strategy is not absolutely the same. This paper compares the different operation character of the two markets and points out that the investors should take diverse investment strategy aiming at different strategy operation characters. This study fills the gap on the research of operation character in Shanghai and Shenzhen A-share stock markets.
3. By using Hasbrouck model to test the asymmetric information contained in price and its influence through the analysis of stock price and volume, we find out for the first time that market trade information contained in the object stocks in Shanghai and Shenzhen A-share stock markets is a dumbbell shape with both ends dissymmetrical, different from the study result of the New York exchange market, which shows a spindle shape with most figures centralize around the average. The empirical result reveals the poor capacity to handle the information in our stock markets with most investors are private investors. They cannot positively get the information or process it. On the other hand, the result also reveals the fact that the bankers know the inside information of a few stocks through their fund and talent people and make profit from it. At the same time,the demonstration shows that the juvenility in china stock markets of the investors’investment skills and research levels is one of reasons which leads lower degree criterion in our markets than other country’s developed stock markets. The investors even more fall over theirself for profit by private information.We make a positive attempt to extent the application of financial micromechanism theory.
4. Compared with other research on the asymmetric information contained in stock price, this paper takes Hasbrouck model to study the asymmetric information in Shanghai and Shenzhen A-share stock markets, which is more completed and systemic, and avoid to take the simple and rough index—average percentage—to describe. This change improve the reflect capability of the study to the phenomenon.
5. Try to use investor psychological model to explain the reason for the momentum and contrarian anomalies in Shanghai and Shenzhen A-share stock markets from the aspect of investors’conservatism and representativeness, and also try to verify the model result by using the exchange figures actually happened in Shanghai and Shenzhen stock markets. The outcome further testifies the model of investor thinking has influence on the cause of momentum and contrarian anomalies in our exchange markets from investor behavior point.
引文
[1] Bachelier, L.,1900, “Theory of Speculation,” in Cootner, P.(ed), The Random Character of Stock Market Prices, Massachusetts Institute of Technology Press, Cambridge, MA, 1964;Reprint
[2] Roberts, Harry, Statistical Versus Clinical Prediction of the Stock Market, Unpublished manuscript, CRSP, University of Chicago, May,(1967)
[3] Eugene F. Fama , Efficient Capital Markets: A Review of Theory and Empirical work, [J],The Journal of Finance,1970,25:383-417
[4] Eugene F. Fama , The Behavior of Stock-Market Prices,[J], The Journal of Business,1965,38(01):34-105
[5] Eugene F. Fama , Efficient Capital Markets: II, [J],The Journal of Finance, vol.xlvl.No.5 December 1999:1575-1617
[6] Firth, Michael, The Information Content of Large Investment Holdings, [J],Journal of Finance, 1975,vol 30,Issue 5:1265-1281
[7] Stewart L.Brown ,Earnings Changes, Stock Prices, and Market Efficiency, [J],Journal of Finance, 1978,vol.33,Issue 1:17-28
[8] Eugene F.Fama, Lawrence Fisher, Michael C.Jensen, Richard roll, The Adjustment of Stock Prices to New Information, [J], Infernational Economic Review February, 1969,Vol.10,No.1:1-21
[9] Ray Ball, Philip Brown, An Empirical Evaluation of Accountiong Income Numbers, [J],Journal of Accounting Research, Autumn,1968:159-178
[10] Eugene F.Fama, James D.MacBeth, Risk, Return, and Equilibrium:Empirical test, [J],Journal of Political Economy,1973,81 :607-636
[11] Werner F. M. De Bondt, Richard Thaler, Does the Stock Market Overreact?, [J],The journal of finance,vol xl,no3, july1985:793-805
[12] Werner F. M. De Bondt, Richard H. Thaler, Further Evidence On Investor Overreaction and Stock Market Seasonality, [J],The journal of finance, VOL. XLⅡ, No3, July1987:557-581
[13]Jegadeesh N, Titman S. Returns to buy the winners and sell the losers: Implications for stock market efficiency [J]. Journal of Finance, 1993,48(1):65-91
[14] Eugene F.Fama, Market efficiency, long-term returns, and behavioral finance, [J],Journal of Financial Economics, 1998(49): 283-306
[15] 俞乔,市场有效、周期异常与股价波动,[J],经济研究,1994年第9期:43-50
[16] 沈艺峰,会计信息披露和我国股票市场半强式有效性的实证分析,[J],会计研究,1996(1):14-17
[17] 吴世农,我国股票市场效率的分析,[J],经济研究,1996(4):13-19
[18] 吴世农,黄志功,上市公司盈利信息报告、股价变动与股市效率的实证研究,[J],会计研究,1997(4):12-17
[19] 魏刚,我国上市公司股利分配的实证研究,[J],经济研究,1998 年 第六期
[20] 赵宇龙, 会计盈余披露的信息含量—来自上海股市的经验数据, [J],经济研究,1998,7:41-49.
[21] 沈艺峰,吴世农,我国证券市场过度反应了吗,[J],经济研究,1999 (2):21-26
[22] 杨朝军、蔡明超、刘波,上海股市基于会计信息反应半强式有效性实证分析,[J],预测,1999年第5期:42-43
[23] 张亦春、周颖刚,中国股市弱式有效吗?,[J],金融研究,2001年第3期(总249期):34-40
[24] 张亦春、周颖刚,中国股市弱式有效研究综述,[J],当代财经,2001年第8期(总第201期):30-32
[25]何德旭、王轶强、王洁,上市公司信息披露“预警制度”的实证分析,[J],当代经济科学,2002年5月,第24卷,第3期:30-36
[26] 赵宇龙、王志台,我国证券市场“功能锁定”现象的实证研究,[J],经济研究,1999年第9期:56-63
[27] 胡畏、范龙振,上海股票市场有效性实证检验,[J],预测,2000年第2期:61-64
[28] 张思奇、马刚、冉华,股票市场风险、收益与市场效率:ARMA-ARCH-M模型,[J],世界经济,2000年第5期:19-28
[29] Peter L.Bernstein, Does the Stock Market Overreact?: Discussion, [J],The journal of finance,vol. 40, No. 3, Jul., 1985:806-808
[30] Chen.N.F, R.Roll, and S.A.Ross, Economic forces and the stock market, [J],Journal of Business,(59),1986:383-403
[31] Paul Zarowin, Dose the Stock Market Overreact to Corporate Earnings Information?, [J],The journal of finance, VOL XLIV, No5, December 1989:1385-1399
[32] Tim Loughran and Jay R, Ritter,Long term market overreaction:the effect of low-priced stocks,[J]journal of finance,1996,51:1957-1970
[33] Robert G. Bowman, David Iverson, Short-run overreaction in the New Zealand stock market, [J],Pacific-Basin Finance, Journal 6 1998:475–491
[34] Jennifer Conrad, Gautam kaul, Long-Term Market Overreaction or Biases in Computed Returns?, [J],The journal of finance, vol. xlⅧ, no.1, March 1993: 39-63
[35] Tim Loughran, Jay R.Ritter, Long-Term Marker Overreaction: The Effect of Low-Priced Stocks, [J],The journal of finance, vol.LI, No.5, December 1996: 1959-1970
[36] Eugene F.Fama, Kenneth R.French, Multifactor Explanations of Asset Pricing Anomalies, [J],The journal of finance, vol.LI, No.1, March 1996:55-84
[37] 张人骥,朱平方,王怀芳,上海股票市场过度反应的实证研究,[J],经济研究,1998 年第五期
[38] 骆燕、曾勇、唐小我,证券市场过度反应理论研究评介,[J],预测,2003年第3期:72-76
[39] 骆艳、曾勇,我国股市对盈利信息反应的一个实证检验,[J],电子科技大学学报,2003年2月,第32卷,第1期:99-103
[40] 邹小芃,我国证券市场回报率过度反应的实证分析,[J],经济科学,2003年第4期:32-40
[41] 邹小芃、钱英,我国股票市场的中长期回报率的过度反应,[J],数理统计与管理,2003年11月,22卷6期:9-14
[42] 吴世农、吴超鹏,我国股票市场“价格惯性策略”和“盈余惯性策略”的实证研究,[J],经济科学,2003年第4期:41-50
[43] 刘少波、尹筑嘉,沪市A股过度反应和反应不足的实证研究,[J],财经理论与实践(双月刊),2004年3月,第25卷,第128期:51-58
[44] 骆艳、曾勇,我国股市对盈利信息反应的进一步检验,[J],电子科技大学学报(社科版),2006年(第8卷)第1期:14-17
[45] Narasimhan Jegadeesh,Evidence of Predictable Behavior of Security Returns, [J],The Journal of Finance,Vol.xlv,No.3,July 1990:881-898
[46] Narasimhan Jegadeesh,Sheridan Titman,Returns to Buying Winners and Selling Losers:Implications for Stock Market Efficiency, [J],The Jounral of Finance,Vol.xlvⅢ,No.1,March 1998:65-91
[47] Bruce N.Lehmann,Fads,Martingales,and Market Efficiency, [J],The Quarterly Journal of Economics,Vol.cv,February 1990,Issue1:1-28
[48] Grinblatt, Mark, Sheridan Titman, Russ Wermers, Momentum Investment Strategies, Porfolio Performance, and Herding: A Study of Mutual Fund Behavior, [J],American Economic Review,1995(85):1088-1105
[49] Carhart, Mark M, On Persistence in Mutual Fund Performance, [J],Journal of Finance,1997:57-82
[50] Rouwenhorst, K.Geert, International Momentum Strategies, [J],Journal of Finance,1998(53):267-284
[51] Liew.J, Vassalou.M, Can Book-to-Market, Size and Momentum be Risk Factors that Predict Economic Growth?, [J],Journal of Financial Economics,2000(57):221-245
[52] 吴世农、吴超鹏,盈余信息度量、市场反应与投资者框架依赖偏差分析,[J],经济研究,2005年第2期:54-62
[53] 王永宏、赵学军,中国股市“惯性策略”和“反转策略”的实证分析,[J],经济研究,2001年第6期:56-61
[54] 周琳杰,中国股票市场动量策略赢利性研究,[J],世界经济,2002年第8期:60-64
[55] 刘煜辉、贺菊煌、沈可挺,中国股票中信息反应模式的实证分析,[J],管理世界,2003年第8期:6-15
[56] 孟卫东,陆静,上市公司盈余报告披露的特征及其信息含量,[J],经济科学,2000(5):75-82
[57] 周宏,上海证券市场年报公布的市场效应研究,[J],会计研究,2004(7):78-83
[58] 林玲,曾勇,唐小我,收益公告效应的实证研究,[J],管理科学学报, 2001(6):46-51.
[59] 孙爱军, 陈晓悦, 关于会计盈余的信息含量的研究—兼论中国股市的利益驱动特性,[J],北京大学学报(哲学社会科学版),2002(1):15-27
[60] 罗胜强,我国上市公司经营净现金流量的增量价值相关性的实证研究,[J],价值工程,2004年第2期:84-87
[61] 陈晓,陈小悦,刘钊,A 股盈余报告的有用性研究,[J],经济研究, 1999(6):21-28
[62] 张庆翠,股票交易量对年报盈余信息反应的实证研究,[J],财经理论与实践(双月刊),2003年11月,第24卷,第126期:44-48
[63] 陈晓、陈淑燕,股票交易量对年报信息的反应研究,[J],金融研究,2001年第7期(总253期):98-105
[64] 程小可、王化成、刘雪辉,年度盈余披露的及时性与市场反应,[J],审计研究,2004年2期:48-53
[65] 汪炜、周宇,中国股市“规模效应”和时间效应”的实证分析,[J],经济研究,2002年第10期:16-21
[66] Nicholas Barberis, Andrei Shleifer, Robert Vishny, A model of investor sentiment, [J],Journal of Financial Economice,1998(49):307-343
[67] Daniel, Hirshleifer, Subramanyam, Investor Psychology and Security Market under and over Reactions, [J],Journal of Finance,1998,53:1839-1885
[68] Harrison Hong and Jeremy C.Stein, A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets, [J],the Journal of Finance, vol. Liv, No6, December 1999:2143-2184
[69] 赵云飞,戴忠恒,股民股票投资成败归因内容与特征的研究[J],心理科学,1995,(6):37-40
[70] 李心丹,王冀宁,傅浩,中国个体证券投资者交易行为的实证研究[J],经济研究,2002年第11期:54-63
[71] 裴平,张仪浩,中国股票投资者认知偏差的实证检验[J],管理世界(月刊),2004年第12期:12-22
[72] 朱小斌,江晓东,中国股市高换手率:行为金融学的解释[J],学术问题研究(综合版),2006年第1期:55-60
[73] 岳衡,赵龙凯,股票价格中的数字与行为金融[J],金融研究,2007年第5期(总第323期):98-107
[74] George J.Stigler,Public Regulation of the Securities Market,in 37, [J],Journal of Business,1964,P117-42
[75] Demsetz,Harold,The Cost of Transacting, [J],Quarterly Journal of Economics,1968,82:33-53
[76] M.Garman,Market Microstructure,[J],Journal of Financial Economics,1976,3:257-275
[77] Amihud,Yakov and Haim Mendelson,Dealership Market::Marker Making with Inventory, [J],Journal of Financial Economics,1980,8:31-53
[78] Stoll,Hans R.,The Supply of Dealer Services in Securities Markets, [J],Journal of Finance,1978,33,1133-1151
[79] Ho,Thomas and Hans Stoll,Optimal Dealer Pricing under Transactions and Return Uncertainty, [J],Journal of Financial Economics,1981,9:47-73
[80] Ohara,Maureen and George Oldfield, The Microeconomics of Market Making, [J],Journal of Financial and Quantitative Analysis,1986,21:361-376
[81]Ho,Thomas and Hans Stoll,The Dynamics of Dealer Markets under Competition, [J],Journal of Finance,1983,38:1053-1074
[82] Cohen,K., S.Maier,R.Schwartz, and D.Whitcomb,Transaction Costs,Order Placement Strategy and Existence of the Bid-Ask Spread, [J],Journal of Political Economy,1981,89:287-305
[83] Bagehot, W.,The Only Game in Town, [J],Financial Analysts Journal, Vol. 27,No. 2, 1971,pg.12-14, 22
[84] Copeland, T.,and D.Galai ,Information Effect on the Bid-Ask Spread,[J],Journal of Finance ,December 1983,1457-1469
[85] Glosten, LR. and P.R. Milgrom, Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders, [J],Journal of Financial Economics,1985,Vol. 14, No. 1, 71-100
[86] Easley,D,N.,M.O’Hara,Price ,trade size, and information in securities markets, [J],Journal of Financial Economics 1987,19,69-90
[87] Easley,D,N.,M.O’Hara,Time and the Process of Security Price Adjustment, [J],Journal of Finance,1992,47:577-606
[88] Grossman, Sanford J. and Joseph E. Stiglitz, On the impossibility of informationally efficient markets, [J], American Economic Review, 1980,Vol. 70, 393-408
[89] Kyle,A.S,Continuous Auctions and Insider Trading. [J],Econometrica,1985, 53:1315-1335
[90] Kyle,A.S,Trading Halts and Price Limits, [J],The Review of Futures Markets,1988,7:426-434
[91] Admati,A.R.,P.Pfleiderer,A Theory of Intraday Trading Patterns:Volume and Price Variability. [J],Review ofFinancial Studies,1988,1:3-40
[92] Admati,A.R.,P.Pfleiderer,Divide and Conquer:A Theory of Intraday Patterns and day-of-the-week Mean Effects, [J],Review of Financial Studies,1989,2:189-224
[93] Spiegel M., A. Subrahmanyam. Informed speculation and hedging in a noncompetition securities market [J],Review of Financial Studies,1992,(5):307-330
[94] Foster, F. Douglas and Viswanathan S. Variation in Volumes, Variances and Working Paper of Futures and Options Research Center, Duke University, 1990
[95] D.Seppi,Equilibrium Block Trading and Asymmetric Information, [J],Journal of Finance,1990,45:73-94
[96]胡继之,于华,各国股市交易制度的比较研究,深圳证券交易所综合研究所,研究报告,1998年3月
[97]王建新,秦洁,证券市场交易方式研究, [J],证券市场导报,1999年7月号:4-18
[98]刘逖,证券市场微观结构理论与实践,上海,[M]复旦大学出版社,2002.371-409
[99]冯巍,海外做市商制度的实践及其相关理论问题综述,[J],证券市场导报,2005年1月号:65-71
[100]何杰,2000,证券市场信息透明度的国际比较及其借鉴, [J],证券市场导报,2000年1月号:16-24
[101]杨之曙,姚松瑶,沪市买卖价差和信息性交易实证研究, [J],金融研究,2004年第4期:45-56
[102]杨之曙,吴宁玫,证券市场流动性研究, [J],证券市场导报,2000年1月号:25-33
[103]屈文洲,吴世农,中国股票市场微观结构的特征分析, [J],经济研究,2002年第1期:
[104]冷劲松,王晓明,林成栋,指令驱动市场中委托指令的收益风险分析, [J],经济理论与经济管理,2003年第11期:34-36
[105]金晓斌,投资者行为、市场风险收益特征与交易策略的有效性,深圳证券交易所研究报告,2003
[106]赵学军,王永宏,中国股市‘处置效应’的实证分析, [J],金融研究,2001.7:
[107]李学,投资者收益、风险和行为研究,深圳证券交易所综合研究所,2001.12
[108]王冀宁,盛昭瀚,李心丹,证券投资者的有限理性交易行为及其机制研究, [J],现代管理科学,2003年第2期:9-10
[109]林国春,股票市场中的机构投资者与个人投资者的投机博弈, [J],中央财经大学学报,1997年第3期:42-46
[110]戴振旗,理性投资:中小投资者与机构投资者之间的博弈, [J],北方经贸,2002年第11期:51-52
[111]李向军,泡沫、传销效应与股市心理透析, [J],广西经济管理干部学院学报,vol.14,No.2,Apr.2002:62-66
[112]史言信,我国证券投资者投资行为的博弈分析, [J],企业经济,2003.6:190-192
[113]车文辉,证券交易行为的经济社会学分析, [J],湘潭大学社会科学学报,2003年7月,第27卷第4期:48-51
[114]李成刚,上海股市交易行为与波动性分析, [J],福建论坛(经济社会版),2003年第5期:26-29
[115]陈晓,秦跃红,“庄家”与信息披露的质量, [J],管理世界(月刊),2003年第3期:28-33
[116] 赵振全,宋玉臣,股票市场信息对称性的影响因素分析, [J],数量经济技术经济研究,2003年第期:99-103
[117]王艳,2004,基于信息范式的指令驱动市场微观特征研究,申请上海交通大学博士学位论文
[118]顾娟,刘建洲,信息不对称与股票价格变动, [J],经济研究,2004年第2期:106-114
[119]王冀宁,李心丹,刘玉灿,基于信号传递博弈的中国股票投资者的学习机制研究, [J],数量经济技术经济研究,2004年第9期:78-83
[120]杜伟锦,黄冬梅,汤天啊,我国证券市场中机构和个人投资者的博弈分析, [J],杭州电子科技大学学报(社会科学版)2005年3月第1卷第1期:21-24
[121]Newey,W.,and K.West, A simple, Positive Semi-Definite, Heteroscedasticity and Autocorrelation Consistent Covariance Matrix, Econometrica,1987,55:703-708
[122] Campbell, John Y, Sandord J. Grossman, Jiang Wang. Trading volume and serial correlation in stock returns,Quarterly Journal of Economics,1993(107): 905～939
[123]Conrad,Jennifer S,Allaudeen Hameed,Cathy Niden,Volume and autocovariancesin short-horizon individual security returns[J],Journal of Finance,1994(49): 1305～1330
[124] Lee.C.M.C,Swaminathan.B,Price momentum and trading volume[J],Journal of Finance,2000, 55:2017-2069
[125]Conrad,J.& G.Kaul, A anatomy dtrading strategies,Review of Financial Studies, 1998,11(3):489-519
[126]Banz R,The relationship between return and market value of common stocks [J]. Journal of Financial Economics,1981,9(1):3—18
[127] Rosenberg, Barr, Kenneth Reid, and Ronald Lanstein, 1985, Persuasive evidence of market inefficiency[J], Journal of portfolio Managemnt1985,11:9 -17
[128]Bhandari L,Debt/ equity ratio and expected common stock returns :Empirical evidence [J].Journal of Finance,1988,43:507—528
[129] Chan,L.,Hamao,Y.and Lakonishok, J,Fundamentals and stock returns in Japan[J],Journal of Finance 1991,46:1739–64
[130]Fama E,French K,The cross section of expected stock returns [J],Journal of Finance, 1992,XLVII(2):427—464
[131]Fama E,French K,Common risk factors in the returns on stocks and bonds [J],Journal of Financial Economics,1993,33:3—56
[132]Fama E,French K,Size and book to market factors in earnings and returns [J],Journal of Finance,1995,50(1):131—156
[133] Cochrane J,Asset Pricing [M],Princeton:Princeton University Press,2001:50—200
[134] Lakonishok J,Shapiro A,Systematic risk,total risk and size as determinants of stock market returns[J],Journal of Banking and Finance,1986,10:115—132
[135] Pastor L, Portfolio selection and asset pricing models [J], Journal of Finance, 2000,LV(1):179—223
[136] Brennan M, Chordia T, Subrahmanyam A, Alternative factor specifications,security characteristics,and the cross-section of expected stock returns[J],Journal of Financial Economics,1998,49:345—373
[137] Daniel K, Titman S, Evidence on the Characteristic of Cross Sectional Variation in Stocks Returns[J], Journal of Finance, 1997,52:1-33
[138] Davis.J.L, Fama.E.F, French.K.R, Characteristics,Covariance and Average Returns:1929 to 1997[J], Journal of Finance,2000,55:389-406
[139] Jaffe J,Keim D,Westerfield R, Earnings yields,market values,and stock returns[J] ,Journal of Finance,1989,XLIV(1):135—165
[140] Bremer M,Hiraki T,Volume and individual security returns on the Tokyo Stock Exchange [J],Pacific-Basin FinanceJournal,1999,(7):351—370
[141] Keim D B,An analysis of mutual fund design :The case of investing in small-cap stocks [J],Journal of Financial Economics,1999,51:173—194
[142] Dunne P G,Size and book-to-market factors in a multivariate GARCH-in-mean pricing application[J],International Review of Financial Analysis,1998,(1):35—52
[143]陈浪南,屈文洲,资本资产定价模型的实证研究[J],经济研究,2000(4):26-34
[144]陈小悦,孙爱军,CAPM在中国股市的有效性检验[J],北京大学学报(哲学社会科学版),2000(4):28-37
[145]刘志新,卢妲,黄昌利,中国股市预期收益率的横截面研究[J],经济科学, 2000年第3期:65-70
[146]陈信元,张田余,陈冬华,预期股票收益的横截面多因素分析:来自中国证券市场的经验证据[J],金融研究,2001年第6期(总252期):22-35
[147]范龙振,余世典,中国股票市场的三因子模型[J],系统工程学报,2002年12月第17卷第6期:538-546
[148] Harry M Markowitz,Portfolio selection[J],Journal of Finance,1959, 7, 3:77-91
[149] William F. Sharpe,Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk[J],The Journal of Finance, Sep., 1964,Vol.19, No.3:425-442
[150]John Lintner,Security Prices, Risk, and Maximal Gains from Diversification[J], Finance,1965: 587-615
[151]安德瑞·史莱佛著,赵英军译校,并非有效的市场——行为金融学导论[M],北京:中国人民大学出版社,2003
[152] Friedman, Milton., 1953,“实证经济学方法论”,弗里德曼文萃,首都经济贸易大学出版社,2001
[153] French. K. R., and Roll, Richard, Stock Return Variances: The Arrival of Information and the Reaction of Traders [J], Journal of Financial Economics, 1986(17),pp:5--26.
[154] 张维迎,博弈论与信息经济学[M],上海:上海人民出版社,1996
[155] Hasbrouck,J.,The Summary Informativeness of Stock trades:An Econometric Analysis, the Review of Financial Studies, 1991,4(3):571-595
[156] Glosten,L,R. ,L.E.Harris, Estimating the Components of the Bid/Ask Spread, Journal of Financial Economics,1988,21:123-142
[157] George,T,J.,G.Kaul, M.Nimalendran, Estimation of the Bid-Ask Spread and its Components:A New Approach, Review of Financial Studies, 1991,4:623-656
[158] Lin.,G.Sanger,and G.G.Booth, Trade size and Components of the Bid-Ask Spread, Review of Financial Studies,1995,8:1153-1183
[159] Madhavan,A.,M.Richardson,and M.R oomans, Why Do Security Prices Change?A Transaction-Level Analysis of NYSE Stocks, Review of Financial Studies,1997,10:1035-1064
[160] Huang,R.D. and H.R.Stoll, The Components of the Bid-Ask Spread:A General Approach, Review of Financial Studies,1997,10:995-1034
[161] Lee,C.M.,and M.J.Ready, Inferring Trade Direction from Intraday Data, Journal of Finance,1991,46:733-746
[162] Dan Zhou, An Analysis of Information Asymmetry in Exchange-Traded Funds, Ph. D. Dissertation, The University of Memphis, 2003
[163] Laffont J J,E Maskin,The Efficient Market Hypothesis and Insider Trading on the Stock Market[J],Journal of Political Economy,1989,vol.98:70-93
[164] Allen B,Gale D,Stock-Price Manipulation[J],Review of Financial Studies,1992,(5):503-529
[165] Chakravarty, S.,Stealth-trading: Which traders’ trades move stock prices? [J],Journal of Financial Economics,2001,61: 289-307
[166] 林国春,股票市场中机构投资者的投机博弈[J],经济科学,1997(3):45-48
[167] 汪建坤,中国股市的博弈分析[J],财贸经济,2000,(2):54-57
[168] Edward A.Shils & Henry A.Finchdes &trans.,The Methodology of the Social Sciences, New York:Free,1968
[169] Edward K. Bowdon, Sr., Using simulation to evaluate system performance, Proceedings of the 11th workshop on Design automation, January 1974:359-365
[170] Tversky A,Kahneman D.Judgment under uncertainty:Heuristics and biases[J].Science, 27 September 1974:vol.185,No.4157:1124-1131
[171] Fama, E. ,Fisher, L. ,Jensen, M. ,and Roll,R. ,The Adjustment of Stock Prices to New Information , [J],International Economic Review, Feb.1969,10, No. 1:1-21
[172]Tversky, A,and Kahneman D.,The Framing of Decisions and the Psychology of Choice , [J].Science 1981,(211):453—458
[173] 高鸿桢,郭济敏,上海股票市场β系数稳定性的实证研究[J].中国经济问题,1999,(2):29-33
[174] 陶欣、路瑶,股票横截面收益特性‘异常’与行为金融学[J],证券市场导报"##4 年第D 期
[175] 约翰·Y.坎贝尔,安德鲁·W.罗,艾·克雷格·麦金雷著,朱平方,刘弘等译,金融市场计量经济学[M],上海:上海财经大学出版社,2003
[176] 迈克尔·J.塞勒著,金马译, 金融研究方法论大全必备[M],北京:清华大学出版社,2005
[177] 吴林祥,证券交易制度分析[M],上海:上海财经大学出版社,2002
[178] 刘逖,证券市场微观结构理论与实践[M],上海:复旦大学出版社,2002
[179] 盛聚,谢式千,潘承毅,概率论与数理统计[M],北京:高等教育出版社,2001
[180] Barberis,N.,Shleifer,A.and Vishny,R.,A model of investor sentiment,Journal of Financial Economics,1998,49:307-343
[181] Hasbrouck,J.,Trades, Quotes, Inventories and Information, Journal of Financial Economics,1988(22), 229 -252
[182] Hasbrouck,J, Assessing the Quality of a Security Market: A New Approach to Transaction Cost Measurement, working paper, Department of Finance, Stem School, New York University,1990
[183]Hasbrouck,J,Measuring the Information Content of Stock Trades, Journal of Finance,1991,46:179-207
[184] Flannery M.J.,M.Nimalenduan, Market evidence on the opaqueness of banking firm’s assets, University of Florida working paper,2000
[185] Van Ness.B.F,R.S.Warr, How well do adverse selection components measure adverse selection, Financial Management,2001:77-98
[186] Brennan, M. J., & Subrahmanyam, A, Market microstructure and asset pricing: On the compensation for illiquidityin stock returns[J], Journal of Financial Economics,1996,41: 441-464
[187]沈可挺,刘煜辉,中国股市惯性与反向投资策略的获利模式[J],管理科学学报,2006,vol.9,No.6:43-52
[188] Chordia, T. and Shivakumar, L., Momentum, business cycle and time-varying expected returns, Working paper, 2000,(www.ssrn.com)
[189] Chan, K.C.,On the contrarian investment strategy[J], Journal of Business,1988,61, 147– 163
[190] 仪垂林,黄兴,王能民等, 中国证券市场三因素模型分析[J],南京经济学院学报,2001(5):43-47
[191] 中国证监会网站、上海证券交易所网站、中国证券登记结算公司网站、搜狐财经网站、新浪网站、新华网站
[192] www.sse.com.cn、www.sina.com、www.szse.cn、www.news.xinhuanet.com、中国证券报、上海证券报
[193] 刘煜辉,中国股票市场的惯性效应、反向效应与信息反应模式[D],中国社会科学院研究生院博士学位论文,2003
[2] Roberts, Harry, Statistical Versus Clinical Prediction of the Stock Market, Unpublished manuscript, CRSP, University of Chicago, May,(1967)
[3] Eugene F. Fama , Efficient Capital Markets: A Review of Theory and Empirical work, [J],The Journal of Finance,1970,25:383-417
[4] Eugene F. Fama , The Behavior of Stock-Market Prices,[J], The Journal of Business,1965,38(01):34-105
[5] Eugene F. Fama , Efficient Capital Markets: II, [J],The Journal of Finance, vol.xlvl.No.5 December 1999:1575-1617
[6] Firth, Michael, The Information Content of Large Investment Holdings, [J],Journal of Finance, 1975,vol 30,Issue 5:1265-1281
[7] Stewart L.Brown ,Earnings Changes, Stock Prices, and Market Efficiency, [J],Journal of Finance, 1978,vol.33,Issue 1:17-28
[8] Eugene F.Fama, Lawrence Fisher, Michael C.Jensen, Richard roll, The Adjustment of Stock Prices to New Information, [J], Infernational Economic Review February, 1969,Vol.10,No.1:1-21
[9] Ray Ball, Philip Brown, An Empirical Evaluation of Accountiong Income Numbers, [J],Journal of Accounting Research, Autumn,1968:159-178
[10] Eugene F.Fama, James D.MacBeth, Risk, Return, and Equilibrium:Empirical test, [J],Journal of Political Economy,1973,81 :607-636
[11] Werner F. M. De Bondt, Richard Thaler, Does the Stock Market Overreact?, [J],The journal of finance,vol xl,no3, july1985:793-805
[12] Werner F. M. De Bondt, Richard H. Thaler, Further Evidence On Investor Overreaction and Stock Market Seasonality, [J],The journal of finance, VOL. XLⅡ, No3, July1987:557-581
[13]Jegadeesh N, Titman S. Returns to buy the winners and sell the losers: Implications for stock market efficiency [J]. Journal of Finance, 1993,48(1):65-91
[14] Eugene F.Fama, Market efficiency, long-term returns, and behavioral finance, [J],Journal of Financial Economics, 1998(49): 283-306
[15] 俞乔,市场有效、周期异常与股价波动,[J],经济研究,1994年第9期:43-50
[16] 沈艺峰,会计信息披露和我国股票市场半强式有效性的实证分析,[J],会计研究,1996(1):14-17
[17] 吴世农,我国股票市场效率的分析,[J],经济研究,1996(4):13-19
[18] 吴世农,黄志功,上市公司盈利信息报告、股价变动与股市效率的实证研究,[J],会计研究,1997(4):12-17
[19] 魏刚,我国上市公司股利分配的实证研究,[J],经济研究,1998 年 第六期
[20] 赵宇龙, 会计盈余披露的信息含量—来自上海股市的经验数据, [J],经济研究,1998,7:41-49.
[21] 沈艺峰,吴世农,我国证券市场过度反应了吗,[J],经济研究,1999 (2):21-26
[22] 杨朝军、蔡明超、刘波,上海股市基于会计信息反应半强式有效性实证分析,[J],预测,1999年第5期:42-43
[23] 张亦春、周颖刚,中国股市弱式有效吗?,[J],金融研究,2001年第3期(总249期):34-40
[24] 张亦春、周颖刚,中国股市弱式有效研究综述,[J],当代财经,2001年第8期(总第201期):30-32
[25]何德旭、王轶强、王洁,上市公司信息披露“预警制度”的实证分析,[J],当代经济科学,2002年5月,第24卷,第3期:30-36
[26] 赵宇龙、王志台,我国证券市场“功能锁定”现象的实证研究,[J],经济研究,1999年第9期:56-63
[27] 胡畏、范龙振,上海股票市场有效性实证检验,[J],预测,2000年第2期:61-64
[28] 张思奇、马刚、冉华,股票市场风险、收益与市场效率:ARMA-ARCH-M模型,[J],世界经济,2000年第5期:19-28
[29] Peter L.Bernstein, Does the Stock Market Overreact?: Discussion, [J],The journal of finance,vol. 40, No. 3, Jul., 1985:806-808
[30] Chen.N.F, R.Roll, and S.A.Ross, Economic forces and the stock market, [J],Journal of Business,(59),1986:383-403
[31] Paul Zarowin, Dose the Stock Market Overreact to Corporate Earnings Information?, [J],The journal of finance, VOL XLIV, No5, December 1989:1385-1399
[32] Tim Loughran and Jay R, Ritter,Long term market overreaction:the effect of low-priced stocks,[J]journal of finance,1996,51:1957-1970
[33] Robert G. Bowman, David Iverson, Short-run overreaction in the New Zealand stock market, [J],Pacific-Basin Finance, Journal 6 1998:475–491
[34] Jennifer Conrad, Gautam kaul, Long-Term Market Overreaction or Biases in Computed Returns?, [J],The journal of finance, vol. xlⅧ, no.1, March 1993: 39-63
[35] Tim Loughran, Jay R.Ritter, Long-Term Marker Overreaction: The Effect of Low-Priced Stocks, [J],The journal of finance, vol.LI, No.5, December 1996: 1959-1970
[36] Eugene F.Fama, Kenneth R.French, Multifactor Explanations of Asset Pricing Anomalies, [J],The journal of finance, vol.LI, No.1, March 1996:55-84
[37] 张人骥,朱平方,王怀芳,上海股票市场过度反应的实证研究,[J],经济研究,1998 年第五期
[38] 骆燕、曾勇、唐小我,证券市场过度反应理论研究评介,[J],预测,2003年第3期:72-76
[39] 骆艳、曾勇,我国股市对盈利信息反应的一个实证检验,[J],电子科技大学学报,2003年2月,第32卷,第1期:99-103
[40] 邹小芃,我国证券市场回报率过度反应的实证分析,[J],经济科学,2003年第4期:32-40
[41] 邹小芃、钱英,我国股票市场的中长期回报率的过度反应,[J],数理统计与管理,2003年11月,22卷6期:9-14
[42] 吴世农、吴超鹏,我国股票市场“价格惯性策略”和“盈余惯性策略”的实证研究,[J],经济科学,2003年第4期:41-50
[43] 刘少波、尹筑嘉,沪市A股过度反应和反应不足的实证研究,[J],财经理论与实践(双月刊),2004年3月,第25卷,第128期:51-58
[44] 骆艳、曾勇,我国股市对盈利信息反应的进一步检验,[J],电子科技大学学报(社科版),2006年(第8卷)第1期:14-17
[45] Narasimhan Jegadeesh,Evidence of Predictable Behavior of Security Returns, [J],The Journal of Finance,Vol.xlv,No.3,July 1990:881-898
[46] Narasimhan Jegadeesh,Sheridan Titman,Returns to Buying Winners and Selling Losers:Implications for Stock Market Efficiency, [J],The Jounral of Finance,Vol.xlvⅢ,No.1,March 1998:65-91
[47] Bruce N.Lehmann,Fads,Martingales,and Market Efficiency, [J],The Quarterly Journal of Economics,Vol.cv,February 1990,Issue1:1-28
[48] Grinblatt, Mark, Sheridan Titman, Russ Wermers, Momentum Investment Strategies, Porfolio Performance, and Herding: A Study of Mutual Fund Behavior, [J],American Economic Review,1995(85):1088-1105
[49] Carhart, Mark M, On Persistence in Mutual Fund Performance, [J],Journal of Finance,1997:57-82
[50] Rouwenhorst, K.Geert, International Momentum Strategies, [J],Journal of Finance,1998(53):267-284
[51] Liew.J, Vassalou.M, Can Book-to-Market, Size and Momentum be Risk Factors that Predict Economic Growth?, [J],Journal of Financial Economics,2000(57):221-245
[52] 吴世农、吴超鹏,盈余信息度量、市场反应与投资者框架依赖偏差分析,[J],经济研究,2005年第2期:54-62
[53] 王永宏、赵学军,中国股市“惯性策略”和“反转策略”的实证分析,[J],经济研究,2001年第6期:56-61
[54] 周琳杰,中国股票市场动量策略赢利性研究,[J],世界经济,2002年第8期:60-64
[55] 刘煜辉、贺菊煌、沈可挺,中国股票中信息反应模式的实证分析,[J],管理世界,2003年第8期:6-15
[56] 孟卫东,陆静,上市公司盈余报告披露的特征及其信息含量,[J],经济科学,2000(5):75-82
[57] 周宏,上海证券市场年报公布的市场效应研究,[J],会计研究,2004(7):78-83
[58] 林玲,曾勇,唐小我,收益公告效应的实证研究,[J],管理科学学报, 2001(6):46-51.
[59] 孙爱军, 陈晓悦, 关于会计盈余的信息含量的研究—兼论中国股市的利益驱动特性,[J],北京大学学报(哲学社会科学版),2002(1):15-27
[60] 罗胜强,我国上市公司经营净现金流量的增量价值相关性的实证研究,[J],价值工程,2004年第2期:84-87
[61] 陈晓,陈小悦,刘钊,A 股盈余报告的有用性研究,[J],经济研究, 1999(6):21-28
[62] 张庆翠,股票交易量对年报盈余信息反应的实证研究,[J],财经理论与实践(双月刊),2003年11月,第24卷,第126期:44-48
[63] 陈晓、陈淑燕,股票交易量对年报信息的反应研究,[J],金融研究,2001年第7期(总253期):98-105
[64] 程小可、王化成、刘雪辉,年度盈余披露的及时性与市场反应,[J],审计研究,2004年2期:48-53
[65] 汪炜、周宇,中国股市“规模效应”和时间效应”的实证分析,[J],经济研究,2002年第10期:16-21
[66] Nicholas Barberis, Andrei Shleifer, Robert Vishny, A model of investor sentiment, [J],Journal of Financial Economice,1998(49):307-343
[67] Daniel, Hirshleifer, Subramanyam, Investor Psychology and Security Market under and over Reactions, [J],Journal of Finance,1998,53:1839-1885
[68] Harrison Hong and Jeremy C.Stein, A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets, [J],the Journal of Finance, vol. Liv, No6, December 1999:2143-2184
[69] 赵云飞,戴忠恒,股民股票投资成败归因内容与特征的研究[J],心理科学,1995,(6):37-40
[70] 李心丹,王冀宁,傅浩,中国个体证券投资者交易行为的实证研究[J],经济研究,2002年第11期:54-63
[71] 裴平,张仪浩,中国股票投资者认知偏差的实证检验[J],管理世界(月刊),2004年第12期:12-22
[72] 朱小斌,江晓东,中国股市高换手率:行为金融学的解释[J],学术问题研究(综合版),2006年第1期:55-60
[73] 岳衡,赵龙凯,股票价格中的数字与行为金融[J],金融研究,2007年第5期(总第323期):98-107
[74] George J.Stigler,Public Regulation of the Securities Market,in 37, [J],Journal of Business,1964,P117-42
[75] Demsetz,Harold,The Cost of Transacting, [J],Quarterly Journal of Economics,1968,82:33-53
[76] M.Garman,Market Microstructure,[J],Journal of Financial Economics,1976,3:257-275
[77] Amihud,Yakov and Haim Mendelson,Dealership Market::Marker Making with Inventory, [J],Journal of Financial Economics,1980,8:31-53
[78] Stoll,Hans R.,The Supply of Dealer Services in Securities Markets, [J],Journal of Finance,1978,33,1133-1151
[79] Ho,Thomas and Hans Stoll,Optimal Dealer Pricing under Transactions and Return Uncertainty, [J],Journal of Financial Economics,1981,9:47-73
[80] Ohara,Maureen and George Oldfield, The Microeconomics of Market Making, [J],Journal of Financial and Quantitative Analysis,1986,21:361-376
[81]Ho,Thomas and Hans Stoll,The Dynamics of Dealer Markets under Competition, [J],Journal of Finance,1983,38:1053-1074
[82] Cohen,K., S.Maier,R.Schwartz, and D.Whitcomb,Transaction Costs,Order Placement Strategy and Existence of the Bid-Ask Spread, [J],Journal of Political Economy,1981,89:287-305
[83] Bagehot, W.,The Only Game in Town, [J],Financial Analysts Journal, Vol. 27,No. 2, 1971,pg.12-14, 22
[84] Copeland, T.,and D.Galai ,Information Effect on the Bid-Ask Spread,[J],Journal of Finance ,December 1983,1457-1469
[85] Glosten, LR. and P.R. Milgrom, Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders, [J],Journal of Financial Economics,1985,Vol. 14, No. 1, 71-100
[86] Easley,D,N.,M.O’Hara,Price ,trade size, and information in securities markets, [J],Journal of Financial Economics 1987,19,69-90
[87] Easley,D,N.,M.O’Hara,Time and the Process of Security Price Adjustment, [J],Journal of Finance,1992,47:577-606
[88] Grossman, Sanford J. and Joseph E. Stiglitz, On the impossibility of informationally efficient markets, [J], American Economic Review, 1980,Vol. 70, 393-408
[89] Kyle,A.S,Continuous Auctions and Insider Trading. [J],Econometrica,1985, 53:1315-1335
[90] Kyle,A.S,Trading Halts and Price Limits, [J],The Review of Futures Markets,1988,7:426-434
[91] Admati,A.R.,P.Pfleiderer,A Theory of Intraday Trading Patterns:Volume and Price Variability. [J],Review ofFinancial Studies,1988,1:3-40
[92] Admati,A.R.,P.Pfleiderer,Divide and Conquer:A Theory of Intraday Patterns and day-of-the-week Mean Effects, [J],Review of Financial Studies,1989,2:189-224
[93] Spiegel M., A. Subrahmanyam. Informed speculation and hedging in a noncompetition securities market [J],Review of Financial Studies,1992,(5):307-330
[94] Foster, F. Douglas and Viswanathan S. Variation in Volumes, Variances and Working Paper of Futures and Options Research Center, Duke University, 1990
[95] D.Seppi,Equilibrium Block Trading and Asymmetric Information, [J],Journal of Finance,1990,45:73-94
[96]胡继之,于华,各国股市交易制度的比较研究,深圳证券交易所综合研究所,研究报告,1998年3月
[97]王建新,秦洁,证券市场交易方式研究, [J],证券市场导报,1999年7月号:4-18
[98]刘逖,证券市场微观结构理论与实践,上海,[M]复旦大学出版社,2002.371-409
[99]冯巍,海外做市商制度的实践及其相关理论问题综述,[J],证券市场导报,2005年1月号:65-71
[100]何杰,2000,证券市场信息透明度的国际比较及其借鉴, [J],证券市场导报,2000年1月号:16-24
[101]杨之曙,姚松瑶,沪市买卖价差和信息性交易实证研究, [J],金融研究,2004年第4期:45-56
[102]杨之曙,吴宁玫,证券市场流动性研究, [J],证券市场导报,2000年1月号:25-33
[103]屈文洲,吴世农,中国股票市场微观结构的特征分析, [J],经济研究,2002年第1期:
[104]冷劲松,王晓明,林成栋,指令驱动市场中委托指令的收益风险分析, [J],经济理论与经济管理,2003年第11期:34-36
[105]金晓斌,投资者行为、市场风险收益特征与交易策略的有效性,深圳证券交易所研究报告,2003
[106]赵学军,王永宏,中国股市‘处置效应’的实证分析, [J],金融研究,2001.7:
[107]李学,投资者收益、风险和行为研究,深圳证券交易所综合研究所,2001.12
[108]王冀宁,盛昭瀚,李心丹,证券投资者的有限理性交易行为及其机制研究, [J],现代管理科学,2003年第2期:9-10
[109]林国春,股票市场中的机构投资者与个人投资者的投机博弈, [J],中央财经大学学报,1997年第3期:42-46
[110]戴振旗,理性投资:中小投资者与机构投资者之间的博弈, [J],北方经贸,2002年第11期:51-52
[111]李向军,泡沫、传销效应与股市心理透析, [J],广西经济管理干部学院学报,vol.14,No.2,Apr.2002:62-66
[112]史言信,我国证券投资者投资行为的博弈分析, [J],企业经济,2003.6:190-192
[113]车文辉,证券交易行为的经济社会学分析, [J],湘潭大学社会科学学报,2003年7月,第27卷第4期:48-51
[114]李成刚,上海股市交易行为与波动性分析, [J],福建论坛(经济社会版),2003年第5期:26-29
[115]陈晓,秦跃红,“庄家”与信息披露的质量, [J],管理世界(月刊),2003年第3期:28-33
[116] 赵振全,宋玉臣,股票市场信息对称性的影响因素分析, [J],数量经济技术经济研究,2003年第期:99-103
[117]王艳,2004,基于信息范式的指令驱动市场微观特征研究,申请上海交通大学博士学位论文
[118]顾娟,刘建洲,信息不对称与股票价格变动, [J],经济研究,2004年第2期:106-114
[119]王冀宁,李心丹,刘玉灿,基于信号传递博弈的中国股票投资者的学习机制研究, [J],数量经济技术经济研究,2004年第9期:78-83
[120]杜伟锦,黄冬梅,汤天啊,我国证券市场中机构和个人投资者的博弈分析, [J],杭州电子科技大学学报(社会科学版)2005年3月第1卷第1期:21-24
[121]Newey,W.,and K.West, A simple, Positive Semi-Definite, Heteroscedasticity and Autocorrelation Consistent Covariance Matrix, Econometrica,1987,55:703-708
[122] Campbell, John Y, Sandord J. Grossman, Jiang Wang. Trading volume and serial correlation in stock returns,Quarterly Journal of Economics,1993(107): 905～939
[123]Conrad,Jennifer S,Allaudeen Hameed,Cathy Niden,Volume and autocovariancesin short-horizon individual security returns[J],Journal of Finance,1994(49): 1305～1330
[124] Lee.C.M.C,Swaminathan.B,Price momentum and trading volume[J],Journal of Finance,2000, 55:2017-2069
[125]Conrad,J.& G.Kaul, A anatomy dtrading strategies,Review of Financial Studies, 1998,11(3):489-519
[126]Banz R,The relationship between return and market value of common stocks [J]. Journal of Financial Economics,1981,9(1):3—18
[127] Rosenberg, Barr, Kenneth Reid, and Ronald Lanstein, 1985, Persuasive evidence of market inefficiency[J], Journal of portfolio Managemnt1985,11:9 -17
[128]Bhandari L,Debt/ equity ratio and expected common stock returns :Empirical evidence [J].Journal of Finance,1988,43:507—528
[129] Chan,L.,Hamao,Y.and Lakonishok, J,Fundamentals and stock returns in Japan[J],Journal of Finance 1991,46:1739–64
[130]Fama E,French K,The cross section of expected stock returns [J],Journal of Finance, 1992,XLVII(2):427—464
[131]Fama E,French K,Common risk factors in the returns on stocks and bonds [J],Journal of Financial Economics,1993,33:3—56
[132]Fama E,French K,Size and book to market factors in earnings and returns [J],Journal of Finance,1995,50(1):131—156
[133] Cochrane J,Asset Pricing [M],Princeton:Princeton University Press,2001:50—200
[134] Lakonishok J,Shapiro A,Systematic risk,total risk and size as determinants of stock market returns[J],Journal of Banking and Finance,1986,10:115—132
[135] Pastor L, Portfolio selection and asset pricing models [J], Journal of Finance, 2000,LV(1):179—223
[136] Brennan M, Chordia T, Subrahmanyam A, Alternative factor specifications,security characteristics,and the cross-section of expected stock returns[J],Journal of Financial Economics,1998,49:345—373
[137] Daniel K, Titman S, Evidence on the Characteristic of Cross Sectional Variation in Stocks Returns[J], Journal of Finance, 1997,52:1-33
[138] Davis.J.L, Fama.E.F, French.K.R, Characteristics,Covariance and Average Returns:1929 to 1997[J], Journal of Finance,2000,55:389-406
[139] Jaffe J,Keim D,Westerfield R, Earnings yields,market values,and stock returns[J] ,Journal of Finance,1989,XLIV(1):135—165
[140] Bremer M,Hiraki T,Volume and individual security returns on the Tokyo Stock Exchange [J],Pacific-Basin FinanceJournal,1999,(7):351—370
[141] Keim D B,An analysis of mutual fund design :The case of investing in small-cap stocks [J],Journal of Financial Economics,1999,51:173—194
[142] Dunne P G,Size and book-to-market factors in a multivariate GARCH-in-mean pricing application[J],International Review of Financial Analysis,1998,(1):35—52
[143]陈浪南,屈文洲,资本资产定价模型的实证研究[J],经济研究,2000(4):26-34
[144]陈小悦,孙爱军,CAPM在中国股市的有效性检验[J],北京大学学报(哲学社会科学版),2000(4):28-37
[145]刘志新,卢妲,黄昌利,中国股市预期收益率的横截面研究[J],经济科学, 2000年第3期:65-70
[146]陈信元,张田余,陈冬华,预期股票收益的横截面多因素分析:来自中国证券市场的经验证据[J],金融研究,2001年第6期(总252期):22-35
[147]范龙振,余世典,中国股票市场的三因子模型[J],系统工程学报,2002年12月第17卷第6期:538-546
[148] Harry M Markowitz,Portfolio selection[J],Journal of Finance,1959, 7, 3:77-91
[149] William F. Sharpe,Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk[J],The Journal of Finance, Sep., 1964,Vol.19, No.3:425-442
[150]John Lintner,Security Prices, Risk, and Maximal Gains from Diversification[J], Finance,1965: 587-615
[151]安德瑞·史莱佛著,赵英军译校,并非有效的市场——行为金融学导论[M],北京:中国人民大学出版社,2003
[152] Friedman, Milton., 1953,“实证经济学方法论”,弗里德曼文萃,首都经济贸易大学出版社,2001
[153] French. K. R., and Roll, Richard, Stock Return Variances: The Arrival of Information and the Reaction of Traders [J], Journal of Financial Economics, 1986(17),pp:5--26.
[154] 张维迎,博弈论与信息经济学[M],上海:上海人民出版社,1996
[155] Hasbrouck,J.,The Summary Informativeness of Stock trades:An Econometric Analysis, the Review of Financial Studies, 1991,4(3):571-595
[156] Glosten,L,R. ,L.E.Harris, Estimating the Components of the Bid/Ask Spread, Journal of Financial Economics,1988,21:123-142
[157] George,T,J.,G.Kaul, M.Nimalendran, Estimation of the Bid-Ask Spread and its Components:A New Approach, Review of Financial Studies, 1991,4:623-656
[158] Lin.,G.Sanger,and G.G.Booth, Trade size and Components of the Bid-Ask Spread, Review of Financial Studies,1995,8:1153-1183
[159] Madhavan,A.,M.Richardson,and M.R oomans, Why Do Security Prices Change?A Transaction-Level Analysis of NYSE Stocks, Review of Financial Studies,1997,10:1035-1064
[160] Huang,R.D. and H.R.Stoll, The Components of the Bid-Ask Spread:A General Approach, Review of Financial Studies,1997,10:995-1034
[161] Lee,C.M.,and M.J.Ready, Inferring Trade Direction from Intraday Data, Journal of Finance,1991,46:733-746
[162] Dan Zhou, An Analysis of Information Asymmetry in Exchange-Traded Funds, Ph. D. Dissertation, The University of Memphis, 2003
[163] Laffont J J,E Maskin,The Efficient Market Hypothesis and Insider Trading on the Stock Market[J],Journal of Political Economy,1989,vol.98:70-93
[164] Allen B,Gale D,Stock-Price Manipulation[J],Review of Financial Studies,1992,(5):503-529
[165] Chakravarty, S.,Stealth-trading: Which traders’ trades move stock prices? [J],Journal of Financial Economics,2001,61: 289-307
[166] 林国春,股票市场中机构投资者的投机博弈[J],经济科学,1997(3):45-48
[167] 汪建坤,中国股市的博弈分析[J],财贸经济,2000,(2):54-57
[168] Edward A.Shils & Henry A.Finchdes &trans.,The Methodology of the Social Sciences, New York:Free,1968
[169] Edward K. Bowdon, Sr., Using simulation to evaluate system performance, Proceedings of the 11th workshop on Design automation, January 1974:359-365
[170] Tversky A,Kahneman D.Judgment under uncertainty:Heuristics and biases[J].Science, 27 September 1974:vol.185,No.4157:1124-1131
[171] Fama, E. ,Fisher, L. ,Jensen, M. ,and Roll,R. ,The Adjustment of Stock Prices to New Information , [J],International Economic Review, Feb.1969,10, No. 1:1-21
[172]Tversky, A,and Kahneman D.,The Framing of Decisions and the Psychology of Choice , [J].Science 1981,(211):453—458
[173] 高鸿桢,郭济敏,上海股票市场β系数稳定性的实证研究[J].中国经济问题,1999,(2):29-33
[174] 陶欣、路瑶,股票横截面收益特性‘异常’与行为金融学[J],证券市场导报"##4 年第D 期
[175] 约翰·Y.坎贝尔,安德鲁·W.罗,艾·克雷格·麦金雷著,朱平方,刘弘等译,金融市场计量经济学[M],上海:上海财经大学出版社,2003
[176] 迈克尔·J.塞勒著,金马译, 金融研究方法论大全必备[M],北京:清华大学出版社,2005
[177] 吴林祥,证券交易制度分析[M],上海:上海财经大学出版社,2002
[178] 刘逖,证券市场微观结构理论与实践[M],上海:复旦大学出版社,2002
[179] 盛聚,谢式千,潘承毅,概率论与数理统计[M],北京:高等教育出版社,2001
[180] Barberis,N.,Shleifer,A.and Vishny,R.,A model of investor sentiment,Journal of Financial Economics,1998,49:307-343
[181] Hasbrouck,J.,Trades, Quotes, Inventories and Information, Journal of Financial Economics,1988(22), 229 -252
[182] Hasbrouck,J, Assessing the Quality of a Security Market: A New Approach to Transaction Cost Measurement, working paper, Department of Finance, Stem School, New York University,1990
[183]Hasbrouck,J,Measuring the Information Content of Stock Trades, Journal of Finance,1991,46:179-207
[184] Flannery M.J.,M.Nimalenduan, Market evidence on the opaqueness of banking firm’s assets, University of Florida working paper,2000
[185] Van Ness.B.F,R.S.Warr, How well do adverse selection components measure adverse selection, Financial Management,2001:77-98
[186] Brennan, M. J., & Subrahmanyam, A, Market microstructure and asset pricing: On the compensation for illiquidityin stock returns[J], Journal of Financial Economics,1996,41: 441-464
[187]沈可挺,刘煜辉,中国股市惯性与反向投资策略的获利模式[J],管理科学学报,2006,vol.9,No.6:43-52
[188] Chordia, T. and Shivakumar, L., Momentum, business cycle and time-varying expected returns, Working paper, 2000,(www.ssrn.com)
[189] Chan, K.C.,On the contrarian investment strategy[J], Journal of Business,1988,61, 147– 163
[190] 仪垂林,黄兴,王能民等, 中国证券市场三因素模型分析[J],南京经济学院学报,2001(5):43-47
[191] 中国证监会网站、上海证券交易所网站、中国证券登记结算公司网站、搜狐财经网站、新浪网站、新华网站
[192] www.sse.com.cn、www.sina.com、www.szse.cn、www.news.xinhuanet.com、中国证券报、上海证券报
[193] 刘煜辉,中国股票市场的惯性效应、反向效应与信息反应模式[D],中国社会科学院研究生院博士学位论文,2003