复杂信息下知情交易者投资反应实证研究
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摘要
投资者反应的研究范畴包括反应不足与反应过度。目前解释反应不足和反应过度具有影响力的模型主要包括BSV模型、DHS模型以及HS模型。三种模型在理论基础与研究视角上存在明显的差异。
     本文主要是基于DHS模型进行研究。DHS模型假设投资者的反应不足或反应过度建立在两个著名的心理偏差上:投资者对私密信息精确性的过度自信以及存在自我归因偏差。模型具有两个重要的特征:第一,当信号是私下的时候,证券价格具有冲动功能。第二,反映了信息特征(公开或私下)与市场反应之间存在的关系。
     本文之所以在金融学的相关理论指导下,利用DHS.模型为理论基础,构建了“IJAR”研究框架对中国投资者的投资反应展开实证研究,是因为在中国证券市场上,依据“内幕消息”进行投资的股民众多,非理性行为或现象常常令人震惊。更重要的是中国投资者与西方投资者相比面临差异化程度较高的证券投资环境、传统人文环境以及心理特质等。而一旦涉及这些变量,传统金融学便显得束手无策。本文利用行为金融学常用的实验研究方法进行实证研究,试图揭开反应不足以及反应过度的现象中投资者的内在心理因素,并达到以下两个目的:(1)为散户投资者提供投资决策建议,降低投资者对“市场传闻”信息的非理性行为;(2)为监管当局有效监管提供决策依据,塑造一个健康的证券市场。
     本文虽然以DHS模型为理论基础,但在DHS模型基础上融入了前景理论、累积性预期理论等理论,提出的命题假设中包含“损失厌恶”这一基本假设。在研究时,所有的实验样本均为知情交易者。在信息设置的复杂程度方面,要高于DHS模型,具体表现为:第一,投资者不知道私密信息与公共信息的概率分布;第二,投资者是在接触到两类信息的末期才开始判断;第三,投资者接触到的私密信息与公开信息是相互矛盾的。
     本文在DHS模型加入了两个调节变量:私密信息易感性以及风险态度(DHS模型假定投资者风险独立)。同时,还设定了一个反馈情景,以研究投资者对投资经验的学习行为。本文共设定三个情景:(1)按照“私密信息s1——公开信息s2”的信息顺序;(2)按照“公开信息s1——私密信息s2”的信息顺序;(3)投资者在t2时刻同时接触到公开信息以及私密信息。然后依据上述三个情景进行理论推导并提出假说命题。
     对命题进行验证时依据实验目分别采用被试间实验或被试内实验。实验结果基本验证了本文提出的假设,部分假设未获得证实(假设H1-3a①)或只是在特定环境中获得了证实(假设H4-1②、H5-2③)。研究结果显示,投资者的行为表现为一个多维的综合体:既有理性的成分,也有情感的交织,且情感常常会破坏投资者对理性思维的把控能力。在复杂的信息条件下,人们的投资往往倾向于选择性感觉,对私密信息易感性强的投资者,更容易忽略市场信息;对私密信息易感性弱的投资者,则更容易对公开信息则表现出反应过度。面对复杂信息,人们有忽略信息的倾向,不仅是有意为之,也可能是潜意识的——特别是不认可的信息来源或者是与信任的信息相反的信息。本文的研究还揭示出,投资者的情绪以及交易特质对投资反应具有显著的影响,包括:贪婪、损失厌恶、归因偏差、过度自信等等。
     具体而言,本文主要得出以下几个结论:
     (1)投资行为与行情判断表现出非一致性。基于损失厌恶,投资者的实际投资行为与自己对股票价格的行情判断并不是完全吻合,甚至差别很大,从而导致投资反应过度或不足。当投资者对行情判断的态度强度越强,其对损失的恐惧就会愈小,行情判断与行为表现出一致性的概率就会增加。另外人格特质、投资者的情绪也是影响二者一致性的重要因素,比如投资者的自信心越强,其表现出一致性的概率就会更高;易感性强的投资者如果表现出损失厌恶,在公开信息与私密信息不一致的时候,行为与判断表现出的差异较为明显。
     (2)投资者依据私密信息投资具有普遍性。在本文研究中,私密信息易感性强的样本比重较大,许多投资者从小样本中获取了过多的信息。对私密信息易感性高的投资者倾向于忽视公开的历史信息,对新的私密信息表现出反应过度。这类投资者常常忽略市场风险,存在严重的投机行为,从而扰乱正常的市场秩序。
     (3)认知偏差严重影响投资者的投资反应。研究显示:①投资者的投资情绪会影响其理性决策程度。过度自信的投资者,在公开信息利好的时候表现得更为贪婪;对私密信息易感性强的投资者在私密信息利好的时候则表现得更为贪婪,导致对利好信息反应过度,形成股票市场的超涨。而损失厌恶的存在则可能在公开信息与私密信息发生矛盾的时候出现反应不足,在公开信息与私密信息利空消息得到相互印证的时候发生反应过度,不断杀跌。投资者在进行证券买卖时,如果情绪左右了其投资行为,则可能过于忽视公开信息(私密信息易感性强的投资者)或粗暴对待私密信息(基于公开信息进行投资的投资者)。这类投资者在信息相互矛盾的情景下,容易采用启发式的投资决策方式。②过度自信的投资者在利好的情况下更容易放松对风险的警惕,表现出反应过度。且过度自信的人在投资失败的时候更倾向于外部归因,投资成功的时候则更倾向于内部归因。由于归因偏差的存在,此类投资者并不会从他们所犯的错误中学习。本文的研究还揭示,投资者的认知容易受到投资环境的影响,在公开信息利好、或者是公开信息与私密信息相互印证的情况下,投资者自信程度会增强,风险防范的意识却会降低。
     (4)反馈对投资反应的修正作用受投资者情绪、特质影响。反馈结果分为两类,一类是正反馈,正反馈会使投资者对信息来源及信息处理模式产生锚定效应,导致过度自信及自我归因偏差,从而高估信息源的可靠性。另一类则是负反馈。此时,不同类型的信息(私密与公开)对不同特质(自信程度、易感性强弱、归因偏差)的投资者的反馈效果存在显著差异。另外,因偏差也是影响投资者对反馈结果学习的重要影响因素,将失败结果归因于外部条件而将成功归因于自身的投资者在私密信息负反馈的情况下对行为的修正水平要显著低于将投资结果成功归因于运气或外界因素的干扰而将失败归因于自身的投资者,这类投资者为了摆脱投资失败后的失调感,从而不愿意针对反馈信息进行学习。
     本文的研究创新主要表现在以下三个方面:(1)本文构建了一个“IJAR”研究框架,即“信息(information)——判断(judgment)——行为(action)——结果(result)"框架对DHS模型进行进一步研究;(2)本文借助实证研究的优点,将前景理论融入DHS模型,放宽了模型的假定条件,修正了模型的部分结论,如DHS模型认为知情交易者(获得私密信息)是过度自信的,反应过度一般发生在信息的早期阶段;当信息投资者收到有关股票价值的噪声私有信息,会高估其准确性;投资者在接收到市场的真实信息后会有效修正自己的行为。但本文的实证研究结果显示对私密信息易感性差的投资者更倾向于过度自信,而这类投资者恰恰忽视私密信息的信息价值;对私密信息易感强的投资者,反应过度可以发生在任何阶段,包括股票的真实价值被揭露的阶段;实证研究也揭示了并不是所有的投资者均具有“后见之明”;或者说投资者并没有表现出传统金融学所言的最优学习过程。(3)DHS模型验证了投资者在面临一种时序信息的情景下的反应过度与反应不足问题,本文还验证了私密信息、公开信息同时到达情景下投资者的反应问题。
     本文的研究不足主要表现在以下方面:由于经费原因,样本选择受地域性限制,可能存在实验结论效度不足的问题;本文利用问卷对投资者反应过度与不足进行描述,这种描述可能存在理解偏差。最后,本文的实验由于不是在实验室进行,在实验过程中对混淆变量控制可能会表现得不够严格。
The study on the behavior of investor reaction:over-reaction and under-reaction. The most influential model includes BSV model, DHS model and HS model explaining the under-reaction and over-reaction model. There are significant differences in the theoretical models and perspectives of the three models.
     This paper is based on the DHS model. DHS model is study on investors from different perspective of investors react to private information and public information. The model assumes that the investors' reaction is based on two famous psychological deviation: investors overconfidence of private information accuracy and self attribution bias. Model has two important features: first, when the signal is private, stock price have impulse function. Second, it reflects the relation of the information characteristics (public or private) and the market reaction.
     This paper is an empirical study on Chinese investors' investment reaction with the framework of DHS model. In the Chinese stock market, many investors to invest based on "inside information". Irrational behavior or phenomenon often shocked us. Compared to Western investors, Chinese investors face a higher differentiation securities investment environment, human environment traditional, psychological characteristics. Once involved in these variables, the standard finance helpless. This paper trying to uncover the internal psychological factors of investors in the under-reaction and over-reaction process to achieve the following two objectives:(1) to provide effective regulation of the decision-making basis for regulatory authorities, to shape a healthy stock market;(2) to provide investment decision-making advice for retail investors, reduce the irrational behavior of investors.
     This paper put forward the proposition assumptions included in the basic assumptions of the "loss aversion". In the study, all experimental samples are informed traders. The complexity of the information set much higher than the DHS model, as follows:First, investors do not know the probability distribution of private information and public information; Second, the investor is in contact with the end of the two types of information before judgment; Third, investors access to private information and public information is conflicting.
     The study added two very important variables based on DHS model:private information susceptibility and risk attitude (DHS model assumes that the independence of investor risk).In order to study the behavior of investors on the investment experience of learning, we set a feedback scenario.
     According to the purpose of the experiment, we experiment to verify the proposition.The experimental results validate the assumptions presented in this paper, some of the assumptions are not confirmed or confirmed all. The study results show that investor behavior as a multidimensional complex:both rational component intertwined emotions, and emotions often undermine investors' ability to control rational thinking. Under the condition of complex information, people's investments tend to selectively feeling. Investors with strong predisposition to private information, are more likely to ignore market information; investors with susceptibility to the public information is more likely to overreact the public information. Faced with complex information, people tend to ignore the information, not only is intentional, but also it is the subconscious-especially not approved sources of information or is contrary to trust information. This paper studies reveal the person's mood as well as investment characteristics have a significant impact, including:greed, loss aversion (short-sighted), attribution bias, overconfidence investment reaction and so on.
     In this paper, there are four main conclusions as following:
     (1) The investment behavior and the market showed inconsistency judgment. Based on loss aversion, the investor's actual investment behavior and their judgment are not completely consistent with the performance of the stock price resulting in excessive or insufficient investment in reaction even with a big difference. The stronger attitude to market judgment, the smaller fear of loss.
     (2) It seems universal for investor to investment based on private information. In this paper, the sample proportion of private information with higher Susceptibility is large; It shows that investment in China's stock market on the basis of private information is very common; many investors got too much information from small samples. Investors with high susceptibility of private information often behave over-react or ignore the history of public information. They often investment with over-reaction behavior. Such investors often behaved with high market risk, which disrupted the market order.
     (3) Cognitive biases seriously affect the reaction of the investor's investment. This study show that: investment sentiment of investor will affect the degree of rational decision-making.In the position of positive, overconfidence investors easier ignore risks. And overconfidence investor attribute the investment failure to external attribution, but successful investor are more inclined to internal attribution.
     (4) Feedback results are divided into two kinds:one kind is confirmed investors' judgments. Another kind is the public information confirmed the private information belong to the error information.
     At the same time, the conclusion has been revised the DHS model in this paper, such as:(1)In the framework of DHS model, informed traders (access to private information) are overconfidence,。 According to the empirical study of this paper, investors with smaller private information susceptibility are more inclined to overconfidence, and such investors just ignore the information value of private information.(2) The DHS model revealed that overreact occur in the early stages, but for private information susceptible investors overreact can occur at any stage;(3)DHS model think that the investor modified their behavior after receives the market real information.
引文
① FAMA, EUGENE F. (1970).Efficient Capital Markets: A Review of Theory and Empirical Work.. Journal of Finance, May70, Vol.25 Issue 2, p383-417.
    ① Shleifer, R.J.(2000) Irrational Markets: An Introduction to Behavioral Finance. Oxford University Press.
    ① Fama, E. F(1998). Market efficiency, long-term returns, and behavioral financel Journal of Financial Economics 49:283~306
    ① 谭新.关于我国证券市场有效性的文献综述[J].时代金融,2011(No.63):161
    ② 赵磊,陈果.我国股票市场的有效性分析[J],山西财经大学学报,2012.12:18-20;刘洪波,娄振.中国与美国证券市场弱有效性检验及对比分析——基于上证指数与S&P500指数的检验[J],时代金融,2012.08:238
    ① 威廉·福布斯著.孔东民译.行为金融[M].机械工业出版社,2011.史金艳编著.行为金融理论与应用[M].大连理工大学出版社,2010.
    ② 乔奇姆·高德伯格,鲁狄格·冯·尼采著,赵英军译,行为金融[M],中国人民大学出版社,2003
    ① G·M·霍奇逊.现代制度经济学宣言[M].北京大学出版社,1993.
    ② Simon H.A.(1990),Invariants of Human Behavior. Annual Review of Psychology 41(1):1-20.
    ① Daniel et al. Investor psychology and security market under and overreactions [J]. The Journal of Finance, 1998,53(6):1839-1885.
    ② Stein J.1989; Bernard V.L. Test of analyst's overreaction to earnings information as an explanation for anomalous stock price behavior[J]. Journal of Finance,1992,47(3):1181~1207.
    ① De Bondt F. M. and Thaler R.(1985), Does the Stock Market Overreact? The Journal of Finance, Vol.40, No.3, pp.793-805
    ② Lkenberry et al. Market underreaction to open market share repurchases[J]. Journal of Financial Economics,1995,39:181-208
    ③ Dreman et al. Overreaction, undereaction and the low-P/E effect[J].Financial Analysts Journal, 1995,51:21-30.
    ① Hong H., Stein J.C.(1999).A unified theory of uderreaction, momentum, and overreaction in asset markets. The journal of finance, vol. LIV, No.6.
    ① Barberis N., Shleifer A., and Vishny R.,1998, Amodel of investor sentiment, Journal of Financial Economics,49:307-343.
    ① Daniel K., Hirshleifer D.and Subrahmanyam A.(1998). Investor Psychology and Security Market Market Under-and Overreactions. Financial Analysts Journal,1998,53(6):1839~1886.
    ① 董梁,李心丹,茅宁.基于中国投资者行为偏差的DHS模型修正[J].复旦学报(社会科学版),No.5 2004:69-76
    ① 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2001,06:56-61
    ② 刘博、皮天雷.惯性策略和反转策略:来自中国沪深A股市场的新证据[J].金融研究,2005.7,No.326:154-166
    ③ 肖峻,陈伟忠等.中国股市短期反转策略实证研究[J],系统工程Vol.23, No,3 2005:35~42
    ① Jegadeesh N., Titman S.(1993),Returns to buying winners and selling losers: implication for stock market efficiency. Journal of finance, Vol.48:65~91
    ② Jegadeesh N., Titman S.(2001), Profitability of Momentum Strategies: An Evaluation of Alternative Explanations. Journal of finance, Vol. Ⅳ1, NO.2.
    ① Jackson A., Johnson T.(2006). Unifying underreaction, momentum, trading and overreaction in assets market. Journal of finance,54:2143-2184.
    ② 程兵,梁衡义,肖宇谷.动量和反转投资策略在我国股市中的实证分析[J],财经问题研究,2004(8):29-35肖峻,陈伟忠等.中国股市短期反转策略实证研究[J].系统工程,2005,Vol.23, No.3:35~41
    ① Tversky A., Kahneman D.(1986), Rational Choice and the Framing of Decisions. Journal of Business, 1986, Vol.59, No.4:251~278
    ② Tversky A., Kahneman D.(1991),Loss Aversion in Riskless Choice: a Reference-dependence model. The Quarterly Journal of Economics, Vol.106, No.4 (Nov.):1039-1061
    ③ Payne J. W., Bettman J. R. (February 1992), Behavioral Decision Research: A Constructive Processing Perspective. Annual Review of Psychology, Vol.43:87-131.
    ① Tversky A., Kahneman D.(1986), Rational Choice and the Framing of Decisions. Journal of Business, 1986, Vol.59, No.4:251~278
    ① Kelley H.H.(1967),Atribution theory in social psychology. In D.Levine(Ed.), Nebraska symposium on motivation(pp.192-238).Lincoln, NE:University of Nebraska Press.
    ① Olson J.M. and Ross M.(1988), False feedback about placebo effectiveness: consequences for the misattribution of speech anxiety. Journal of experimental social psychology,24,257-291
    ① Odean T.(1996). Do investors trade too much? American economic review, Vol.89(10):1279~1298.
    ② Thaler R. H. and Johnson E. J. (1990). Gambling with the house money and trying to breakeven: the effect of prior outcomes on risk choice. Management science 36:643~660.
    ① 郭子嘉.基于信息质量的噪音交易研究与模型修正[J],地方财政研究,2011(9):36-41.
    ② De Long, J.B. et al. (1989).Noise trader risk in financial markets [J], Journal of Political Economy, (98): 703-738;De Long, J.B. et al. (1990) The noise trader approachto finance [J].The Journal of Economic Perspectives, (44):681-696;Campbell J. Y., Kyle A. S.(1993). Smart money, noise trading and stock price behaviour" [J], Review of Economic Studies,60 (1):1-34. Scharfstein H. et al. (1990). Herd behavior and investment, The AmericanEconomic Review Vol.80, No.3 (Jun.):465-479;Shefrin H.,Statman M(1994) Behavioral capital asset pricing theory Journal of Financial and Quantitative Analysis,29(3):323-394.
    ③ utler D., Poterba J. and Summers L.(1989). What moves stock prices? Moves in stock prices reflect something other than news about fundamental values. Journal of portfolio management(15):4-12. Daniel K., Hirshleifer D. and Subrahmanyam A.(1998). Inverstor psychology and security market under-and overreaction. Journal of finance,52:1~33.
    ① Holland J.(2005), A grounded theory of corporate disclosure. Accounting and business research,35(3): 249~267.
    ① Park C.W., Lessig V.P.(1977), Students and Housewives: Differences in Susceptibility to Reference group. Journal of Consumer Research, Vol.4 (September):102~110
    ② 克里斯普,特纳著,赵德高等译.社会心理学精要[M],北京:北京大学出版社,2008年12月。
    ① 杨国枢、陆洛.中国人的自我[M].重庆:重庆大学出版社,2009年4月
    ① Ito T.A., Larsen J.T. Smith N.K. and Cacioppo J.T.(1998), Journal of Personality and Social Psychology, Vol.75, No.4:p.887-900
    ② 饶育蕾,王盛,张轮.基于行业投资组合的投资基金羊群行为模型与实证.管理评论[J],Vol.16,No.12(2004).
    ③ 陆剑清.行为金融学.上海:立信会计出版社[M].2009年1月:P139
    ② John R. Graham.Herding among investment newsletters: Theory and evidence[J]. The Journal of Finance, vol. LIV, No.1,1990:237~268.
    ⑤ charfstein D., Stein J. (1990)Herd behavior and investment[J]. American Economic Review, (June): 465~479
    ① Kruglansi A.W.(1996). Motivated social cognition: Priciple of the interface, Social psychology:handbook of basic principle (pp.493~520). New York:Guilford Press.
    ② Macrace C.N., Hewstone M. and Griffiths R.J.(1993), Processing load and memory for stereotype-based information. European Journal of social psychology,23:77~87.
    ① Hovland C.I. and Weiss W.(1951), The influence of source credibility on communication effectiveness. Public opinion quarterly,15,:635~650
    ① Kahneman D., Tversky A.(1979),Prospect Theory: An Analysis of Decision under Risk. Econometrica, March,47(2):p.263-291
    ① Kahneman D., Knetsch J. L., Thaler R. H. (1991) Anomalies:The Endowment Effect, Loss Aversion, and Status Quo Bias. The Journal of Economic Perspectives, Vol.5, No.1. (Winter,), p.193-206.
    ① Tversky A., Kahneman D.(1986), Rational Choice and the Framing of Decisions. Journal of Business, 1986, Vol.59, No.4:251~278
    ② Tversky A., Kahneman D.(1991),Loss Aversion in Riskless Choice: a Reference-dependence model. The Quarterly Journal of Economics, Vol.106, No.4 (Nov.):1039-1061
    ③ Payne J. W., Bettman J. R. (February 1992), Behavioral Decision Research: A Constructive Processing Perspective. Annual Review of Psychology, Vol.43:87-131.
    ① 薛求知等.行为经济学[M],上海:复旦大学出版社,2003,p.76
    ① Barberis N., M. Huang and T, Santos(2001). Prospect theory and asset prices. Quartely journal of economic,116(1):1~53威廉·福布斯著,孔东民译.行为金融[M].机械工业出版社,2011.06
    ① Tversky A., Kahneman D.(1974), Judgement under uncertainty: Heuristics and biases, New York: Cambridge university press:p.3-20
    ② 实际值为40320,这说明锚定效应会导致决策偏差。
    ③ 如前所述,πi是投资者决策的主观概率函数,并不是概率,它不服从概率的运算法则。
    ① Fiske S.T.,Taylor S.E. Social cognition, reading[M].2nd ed. New York:McGraw-Hill,1991.
    ① Oskamp S. (2000). A sustainable future for humanity? How can psychology help? Am Psychol., May; 55(5):496-508.
    ① 张文彤,董伟SPSS统计分析高级教程[M],高等教育出版社,2004.9
    ① 舒华,张亚旭.心理学研究方法:实验设计和数据分析[M].北京:人民教育出版社,2008.
    [1]Abarbanell J. S. and Bernard V.L.(1992) Tests of analysts' overreaction/ underreaction to earnings information as an explanation for anomalous stock price behavior. Journal of finance, Vol XL, No.3:1181-1207
    [2]Barberis N., Shleifer A., and Vishny R.(1998), Amodel of investor sentiment, Journal of Financial Economics,49:307-343.
    [3]Baker H. K.,Patricia L. G. and Karen E. M.(1981), Management's view of stock repurchase, Journal of Financial Research 4:233-247.
    [4]Barberis N. and Huang M.(2001), Mental accounting, loss aversion and individual stock returns. Journal of Finance,56:1247-1292
    [5]Barberis N., M. Huang and T, Santos(2001). Prospect theory and asset prices. Quartely journal of economic,116(1):1-53
    [6]Bernard V.(1990), Evidence that stock prices do not fully reflect the implications of current earnings for future earning, Journal of accounting research, 27:305-340
    [7]Black F.(1986),Noice. Journal of finance,61:529-543
    [8]Brock W., Josef L., and Blake L.(1992), Simple technical trading rules and the stochastic properties of stock returns, Journal of Finance 47:1731-1764.
    [9]Brown, S.J. and Jerold B. W.(1980), Measuring security price performance, Journal of Financial Economics 8:205-258.
    [10]Caginalp G (2002). Does the market have a mind of its own, and does it get carried away with excess cash? Journal of Psychology and Financial Markets, 3:72-75.
    [11]Caginalp G. and Constantine G. (1995). Statistical inference and modeling of momentum in stock prices. Applied Mathematical Finance,2:225~242.
    [12]Caginalp G and DeSantis M. (2011). Nonlinearity in the dynamics of financial markets. Nonlinear Analysis: Theory, Methods & Applications, 12:1140-1151.
    [13]Caginalp G and DeSantis M. (2011). A Paradigm for Quantitative Behavioral Finance. American Behavioral Scientist,55(8) 1014~1034
    [14]Caginalp G. and DeSantis M. (2011). Stock price dynamics:Nonlinear trend, volume, volatility, resistance and money supply. Quantitative Finance, 11:849-861.
    [15]Caginalp G. and Ilieva V. (2008). The dynamics of trader motivations in asset bubbles. Journal of Economic Behavior & Organization,66,641-656.
    [16]Campbell J. Y., Kyle A. S.(1993). Smart money, noise trading and stock price behaviour"[J], Review of Economic Studies,60 (1):1-34.
    [17]Chan W.(2003), Stock market reaction to news and no news:drift and reversal afer headlines. Journal of Financial Economics,70:223~60.
    [18]Cutler D., Poterba J. and Summers L.(1989). What moves stock prices? Moves in stock prices reflect something other than news about fundamental values. Journal of portfolio management 15):4~12.
    [19]Daniel et al. Investor psychology and security market under and overreactions [J]. The Journal of Finance,1998,53(6):1839~1885.
    [20]Daniel K., Hirshleifer D.and Subrahmanyam A.(1998). Investor Psychology and Security Market Market Under- and Overreactions. Financial Analysts Journal,1998,53(6):1839~1886.
    [21]Debondt F. M. and Thaler R.(1985), Does the Stock Market Overreact? The Journal of Finance, Vol.40, No.3:793~805
    [22]Debondt F. M.(1987). Further evidence of investor overreaction and stock market seasonality, Journal of Finance, Vol.42:557~582
    [23]Debondt F. M.(1990), Do security analysis overreact? American economic review, Vol.80:52~57.
    [24]De Long, J.B. et al. (1989).Noise trader risk in financial markets [J], Journal of Political Economy, (98):703-738;
    [25]De Long, J.B. et al. (1990) The noise trader approachto finance [J].The Journal of Economic Perspectives, (44):681-696;
    [26]Dreman et al. Overreaction, undereaction and the low-P/E effect[J].Financial Analysts Journal,1995,51:21~30.
    [27]Duran A. And Caginalp G.(2007). Overreaction diamonds:Precursors and aftershocks for significant price changes. Quantitative Finance,7:321~342.
    [28]Fama, E. F. (1970),Efficient Capital Markets: A Review of Theory and Empirical Work.. Journal of Finance, May70, Vol.25 Issue 2, p383-417.
    [29]Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance 1. Journal of Financial Economics 49:283-306
    [30]Fama E. F. and Kenneth R. F.(1992), The cross-section of expected returns, Journal of Finance 47:427-466.
    [31]Fama E. F. and Kenneth R. F.(1993), Common risk factors in the returns on stocks and bonds, Journal of Financial Economics 33:3-56.
    [32]Fiske S.T.,Taylor S.E. Social cognition, reading[M].2nd ed. New York: McGraw-Hill,1991.
    [33]Forsythe R., Palfrey T. R. and Plott C. R. (1982). Asset valuation in an experimental market. Econometrica,50:537-582.
    [34]Friedman D., Harrison G. and Salmon J. (1984). The informational efficiency of experimental asset markets. Journal of Political Economy,92, 349-408.
    [35]Xiong GY and Bharadwaj S.(2011)Social Capital of Young Technology Firms and Their IPO Values: The Complementary Role of Relevant Absorptive Capacity. Journal of Marketing, Vol.75 (November):87-104.
    [36]Gelman A. (2008). Scaling regression inputs by dividing by two standard deviations. Statistics in Medicine,27:2865-2873.
    [37]George T. J. and Hwang C. Y. (2004). The 52-week high and momentum investing. Journal of Finance,5:2145-2176.
    [38]Grether D.(1980). Bayes rule as a descriptive model: The representativeness heuristic. Journal of Economics,95:537~557.
    [39]Hong H., Stein J.C.(1999),A unified theory of uderreaction, momentum, and overreaction in asset markets. The journal of finance, vol. LIV, No.6.
    [40]Hovland C.I. and Weiss W.(1951), The influence of source credibility on communication effectiveness. Public opinion quarterly,15,:635~650
    [41]Ikenberry D., Lakonishok J. and Vermaelen T.(1995). Market underreaction to open market share repurchases. Journal of financial Economics, 39:181~208
    [42]Ito T.A., Larsen J.T. Smith N.K. and Cacioppo J.T.(1998),Journal of Personality and Social Psychology, Vol.75, No.4:p.887-900
    [43]Ivkovic Z. and Jegadeesh N.(2004), The timing and value of forecast and recommendation revisions. Journal of Financial Economics,73(3):433~463.
    [44]Jackson A., Johnson T.(2006). Unifying underreaction, momentum, trading and overreaction in assets market. Journal of finance,54:2143~2184.
    [45]Jegadeesh N., Titman S.(1993),Returns to buying winners and selling losers:implication for stock market efficiency. Journal of finance, Vol.48:65~91
    [46]Jegadeesh N., Titman S.(2001), Profitability of Momentum Strategies:An Evaluation of Alternative Explanations. Journal of finance, Vol. IVI, NO.2.
    [47]John R. Graham.Herding among investment newsletters:Theory and evidence[J]. The Journal of Finance, vol. LIV, No.1,1990:237-268.
    [48]Kahneman D. and Riepe M. W. (1998), Aspects of Investor Psychology: Beliefs, preferences, and biases investment advisors should know about. Journal of Portfolio Management, Vol.24 No.4(Summer):1-21
    [49]Kahneman D., Tversky A.(1979),Prospect Theory: An Analysis of Decision under Risk. Econometrica, March,47(2):p.263-291
    [50]Kahneman D., Knetsch J. L., Thaler R. H. (1991) Anomalies:The Endowment Effect, Loss Aversion, and Status Quo Bias. The Journal of Economic Perspectives, Vol.5, No.1. (Winter,), p.193-206.
    [51]Kelley H.H.(1967),Atribution theory in social psychology. In D.Levine(Ed.), Nebraska symposium on motivation(pp.192-238).Lincoln, NE: University of Nebraska Press.
    [52]Kruglansi A.W.(1996). Motivated social cognition:Priciple of the interface, Social psychology: handbook of basic principle (pp.493~520). New York: Guilford Press.
    [53]Lama K., Liu T.S. and Wong W.K.(2010), A pseudo-Bayesian model in financial decision making with implications to market volatility, under- and overreaction, European Journal of Operational Research 203:166-175
    [54]Lkenberry et al.(1995),Market underreaction to open market share repurchases[J]. Journal of Financial Economics,39:181~208
    [55]Lopes L.(1987) Between Hope and Fear: The Psychology of Risk. Advances in Experimental Social Psychology:255-295.
    [56]Macrace C.N., Hewstone M. and Griffiths R.J.(1993), Processing load and memory for stereotype-based information. European Journal of social psychology,23:77~87.
    [57]Madura, J., Richie, N. (2004). Overreaction of exchange-traded funds during the bubble of 1998-2002. Journal of Behavioral Finance,5,91-104.
    [58]Odean T.(1996). Do investors trade too much? American economic review, Vol.89(10):1279~1298.
    [59]Ohlson J. A. and Penman S. H.(1983),Variance Increases Subsequent to Stock Splits: An Empirical Aberration. Working Paper, Graduate School of Business, Columbia University, September 1983.
    [60]Olson J.M. and Ross M.(1988), False feedback about placebo effectiveness: consequences for the misattribution of speech anxiety. Journal of experimental social psychology,24,257-291
    [61]Oskamp S. (2000). A sustainable future for humanity? How can psychology help? Am Psychol., May; 55(5):496-508.
    [62]Park C.W., Lessig V.P. (1977), Students and Housewives:Differences in Susceptibility to Reference group. Journal of Consumer Research, Vol.4 (September):102-110
    [63]Payne J. W., Bettman J. R. (1992), Behavioral Decision Research: A Constructive Processing Perspective. Annual Review of Psychology, Vol. 43 February:87-131.
    [64]Plott C. R. and Sunder S. (1982). Efficiency of experimental security markets with insider information: An application of rational-expectations models. Journal of Political Economy,90:663~698.
    [65]Poterba, J. M. and Summers L. H. (1988). Mean reversion in stock prices: Evidence and implications. Journal of Financial Economics,22:27~59.
    [66]Reinganum M. R. (1981)Misspecification of Capital Asset Pricing: Empirical Anomalies Based on Earnings' Yields and Market Values. Journal of Financial Economics 9 (March):19~46.
    [67]Reinganum M. R. (1983), TheA nomalousS tock MarketB ehavioro f Small Firms in January. Journal of Financial Economics 12 (June),89~104.
    [68]Russo E.,Schoemark P.J.M(1992), Managing Overconfidence. Sloan management review, Vol.33, No.2 (Winter):7~17.
    [69]Scharfstein H. et al. (1990). Herd behavior and investment, The investment, The AmericanEconomic Review Vol.80, No.3 (Jun.):465~479;
    [70]Schwert, G W.(1983), Size and Stock Returns, and Other Empirical Regularities. Journal of Financial Economics 12 (June):3~12.
    [58]Seyhun, H. Nejat(1990), Overreaction or fundamentals:Some lessons from insiders'response to the market crash of 1987, Journal of Finance 45: 1363-1388
    [71]Shefrin H.,Statman M(1994) Behavioral capital asset pricing theory.Journalof Financial and Quantitative Analysis,29(3):323-394.
    [72]Shiller R. J.(1979), The Volatility of Long-Term Interest Rates and Expectations Models of the Term Structure." Journal of Political Economy (December),1190~1219.
    [73]Shiller R. J.(1979), Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? American Economic Review (June): 421~36.
    [74]Shleifer, R. J.(2000) Irrational Markets:An Introduction to Behavioral Finance. Oxford University Press.
    [75]Simon H.A.(1990),Invariants of Human Behavior. Annual Review of Psychology 41(1):1-20.
    [76]Slovic P., Finucane M., Peters, E., & MacGregor, D. (2004). Risk as analysis and risk as feelings:Some thoughts about affect, reason, risk and rationality. Risk Analysis,24:311~322.
    [77]Stein J.,Bernard V.L.(1989). Test of analyst's overreaction to earnings information as an explanation for anomalous stock price behavior[J] Journal of Finance,1992,47(3):1181~1207.
    [78]Sturm, R. R. (2008). The 52-week high strategy: Momentum and overreaction in large firm stocks. The Journal of Investing,17:55~67
    [79]Sturm R. R. (2003). Investor confidence and returns following large one-day price changes. Journal of Behavioral Finance,4:201~216
    [80]Thaler R. H. and Johnson E. J. (1990). Gambling with the house money and trying to breakeven: the effect of prior outcomes on risk choice. Management science 36:643~660.
    [81]Tom G., Vallone R. and Tversky A. (1985)The Hot Hand in Basketball: On the Misperception of Random Sequences." Cognitive Psychology,17:295-314.
    [82]Tversky A., Kahneman D.(1974), Judgement under uncertainty: Heuristics and biases, New York: Cambridge university press:p.3-20
    [83]Tversky A., Kahneman D.(1986), Rational Choice and the Framing of Decisions. Journal of Business,1986, Vol.59, No.4:251~278
    [84]Tversky A., Kahneman D.(1991),Loss Aversion in Riskless Choice: a Reference-dependence model. The Quarterly Journal of Economics, Vol.106, No. 4 (Nov.):1039-1061
    [85]Zhou Z.G and Zhou J.(2011), Chinese IPO Market Cycles,The Chinese Economy, vol.44, No.5:55~71
    [86]彼得·哈里斯著,吴艳红等译.心理学实验的设计与报告(第2版),北京:人民邮电出版社,2009.4.
    [87]蔡健琦.基于BSV、DHS和HS模型的证券市场反应行为理论与实证研究[D].浙江大学,2004.
    [88]程兵,梁衡义,肖宇谷.动量和反转投资策略在我国股市中的实证分析[J],财经问题研究,2004(8):29-35.
    [89]董梁,李心丹,茅宁.基于中国投资者行为偏差的DHS模型修正[J].复旦学报(社会科学版),No.5 2004:69-76.
    [90]董志勇.行为经济学原理[M].北京大学出版社,2006年10月.
    [91]戴维·迈尔斯著,张智勇等译.社会心理学[M].人民邮电出版社,2006年1月.
    [92]樊景立,梁建,陈志俊.实证研究的设计与评价·组织与管理研究的实证方法[M],北京大学出版社,2009.4.
    [93]G·M-霍奇逊.现代制度经济学宣言[M].北京大学出版社,1993.
    [94]Gravetter F. J, Forzano L.B.著,郑铸等译.行为科学研究方法[M].陕西师范大学出版社,2005
    [95]郭子嘉.基于信息质量的噪音交易研究与模型修正[J],地方财政研究,2011(9):36-41.
    [96]胡奕明,唐松莲.独立董事与公司盈余信息质量[J],管理世界,2008(9):65-77.
    [97](美)加里·S.贝克尔著,王业宇等译.人类行为的经济分析[J],格致出版社,2008年4月.
    [98]克里斯普,特纳著,赵德高等译.社会心理学精要[M],北京:北京大学出版社,2008年12月.
    [99]李诗林.行为金融与证券投资行为[M].社会科学文献出版社,2005年11月.
    [100]刘博,皮天雷.惯性策略和反转策略:来自中国沪深A股市场的新证据 [J].金融研究,2005.7,No.326:154-166.
    [101]刘洪波,娄振.中国与美国证券市场弱有效性检验及对比分析——基于上证指数与S&P500指数的检验[J],时代金融,2012.08:238
    [102]刘雪峰,张志学,梁钧平.认知闭合需要、框架效应与决策偏好[J],心理学报,2007,39(4):611-618.
    [103]陆剑清.行为金融学[M].立信会计出版社,2008年8月.
    [104]乔奇姆·高德伯格,鲁狄格·冯·尼采著,赵英军译,行为金融[M],中国人民大学出版社,2003
    [105]饶育蕾,王盛,张轮.基于行业投资组合的投资基金羊群行为模型与实证.管理评论[J],Vol.16,No.12(2004).
    [106]舒华,张亚旭.心理学研究方法:实验设计和数据分析[M].北京:人民教育出版社,2008.
    [107]史金艳编著.行为金融理论与应用[M].大连理工大学出版社,2010.
    [108]谭新.关于我国证券市场有效性的文献综述[J].时代金融,2011(No.63):161
    [109]威廉·福布斯著,孔东民译.行为金融[M].机械工业出版社,2011.06
    [110]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2001,06:56-61
    [111]吴明隆.结构方程模型—AMOS的操作与应用.重庆大学出版社,2009.7
    [112]肖峻,陈伟忠等.中国股市短期反转策略实证研究[J],系统工程,Vol.23, No,3 2005:35-42
    [113]薛求知等.行为经济学[M],上海:复旦大学出版社,2003,p.76
    [114]杨国枢、陆洛.中国人的自我[M].重庆:重庆大学出版社,2009年4月
    [115]杨国枢,黄光国,杨中芳.华人本土心理学(上,下)[M].重庆大学出版社,200年6月.
    [116]赵磊,陈果.我国股票市场的有效性分析[J],山西财经大学学报,2012.12:18-20.

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