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印花税对证券市场运行绩效的影响
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摘要
印花税作为中国证券市场上的主体税种,引入国内已十几年时间。回顾十多年来印花税税率变动的历史,不可否认,历次税率调整对于证券市场都起到了一定调节的作用,印花税上调可以抑制投机,控制过分活跃的市场,而下调则可以活跃市场。
     随着我国证券市场的日臻完善和对外开放步伐的加快,金融监管当局的政策工具的有效性问题也将越来越得到重视。从市场运行绩效的角度出发,印花税税率的高低和调整将给整个制度本身带来多层次的影响。回顾近年来国际和国内已有的关于印花税的文献,绝大多数针对印花税的科研成果集中在分析印花税调整对于股票价格和波动的影响上,对于印花税和市场运行绩效关系的研究却十分鲜见,为相关研究留下了较大的创新余地。
     从各国证券市场的实践经验来看,择时适度地调整证券市场的交易成本,是一国证券监管部门进行市场调控的有效手段之一。但是,在我国证券市场上,印花税政策被赋予太多调控市场的特殊功能,而现实中并没有对印花税和市场运行绩效关系有统一的认识。为此,需要通过对印花税和市场运行绩效的关系,进行理论分析和实证检验,进一步分析二者之间的关系。
     在当前的市场环境下加强对印花税与市场运行绩效的关系研究,有利于发现我国证券市场价格的内在形成机制,从而为引导投资者的理性投资行为、提高投资者的理性程度、构建我国证券市场的理性的微观基础、保护投资者的利益、提高证券市场的效率。因此,研究印花税与市场运行绩效的关系有现实意义,有助于加深对我国证券市场的理解,并借此为我国证券市场健康发展提供更多的指导。
     本文试图以理论和实证研究回答以下几个问题:第一,印花税会对市场运行绩效的哪些指标有影响?第二,在现行的印花税制度下,是否存在市场运行绩效最优的印花税税率?第三,在现行的印花税制度下,是否存在最优的征收方式?第四,我国证券市场印花税税率和波动性有什么关系,印花税税率调整对波动性有什么影响?第五,我国证券市场印花税税率和流动性有什么关系,印花税税率调整对流动性有什么影响?带着上述问题,本文对我国证券市场上印花税与市场运行绩效关系进行深入研究,得到如下结论:
     第一,印花税本身就是低成本指标的重要反映,与市场运行绩效中的流动性指标、稳定性指标两个指标密切相关,而与有效性指标、透明度指标、安全性指标关系不大,因此,本文的研究范围界定为印花税对于市场流动性和波动性的影响。
     第二,在现行的印花税税率历史范围内(0.1%至0.6%),印花税税率为0.1%为市场运行绩效最优的情况,波动性最小,而流动性最大,印花税税率在0.3%和0.4%为市场运行绩效最差的情况,波动性最大,而流动性最小。目前我国证券市场是按照0.3%进行印花税的征收,从市场运行绩效角度衡量,是最不优的。
     第三,印花税的不同征收方式对于市场运行绩效存在不同的影响。理论上,降低波动性要求仅对卖方征收印花税,提高流动性要求仅对买方征收印花税,但是,根据数值模拟的结果,仅对于卖方征收印花税,可以有效地降低波动性,但是对于流动性的影响不大,因此,仅对于卖方征收印花税可以提高市场运行绩效
     第四,印花税对波动性存在不对称影响,既包括不同印花税税率水平对波动性产生的不对称影响,也包括印花税调整对波动性产生的不对称影响。印花税税率与波动性并非存在线性的关系,印花税税率位于中间水平时(0.3%),股票价格的波动性是最大的。同时,印花税调整,短期内可以引起波动性的增加,而且上调印花税比下调印花税引起的波动性更为显著。
     第五,印花税税率对于流动性的影响显著为负,印花税税率提高会造成市场流动性会变差;印花税的调整对于对流动性的影响存在显著的不对称性:印花税上调的流动性变化明显大于印花税下调时,且印花税上调时对流动性影响的反应更为迅速。
     全文最后,总结理论和实证得到研究结果,就印花税和我国证券市场的关系,向监管者提出了相关建议,并针对本文的不足对未来的研究提出展望。
It has been over ten years since the stock exchange stamp tax was first brought into China. In these ten years, the tax rate has been fluctuated many times and it is very obviously that these adjustments of tax rate have worked out on the stock market to some extent. The rise of the stamp tax rate may control the overheated market, and the fall may cheer up the market.
     As the development of the stock market in our country, more and more emphasis has been put on the effectively of the policy of financial supervision. Concerning the performance of the market, the adjustments of stamp tax rate affect the whole mechanism in a multiple way. A review of the literatures about stamp tax rate home and abroad shows that most researches focus on the impact given to the fluctuation of stock price by the adjustment of stamp tax rate, but few on the relations between stamp rate and the market operational performance.
     The experiences of stock market in various countries show that it is an effective way for the supervisors of a state to regulate the stock market, to adjust the exchange cost of the stock market at right times. But in our country, a unified knowledge about the relations between stamp tax rate and market operational performance hasn't been reached, while in the practice the stamp tax policy has taken on too much responsibilities of market regulation. Therefore, both theoretical and empirical study focus on the relations between stamp tax rate and market operational performance are needed.
     These kind of research can help to find out the inner mechanisms of how the stock price forms, hence provide a theoretical basis for policies promoting rational investments, protecting the investor' interests and improving the stock market. In a word, the research of relations between stamp tax rate and the market operational performance is very important for scholars to deepen the knowledge of stock market in our country, which could provide more instructions of the sound development of the stock market.
     This paper focuses on the questions below: Firstly, which indicates of the market operational performance does stamp tax affect? Secondly, concerning the present mechanism of stamp tax, will there be a rate that makes the best market operational performance? Thirdly, will there be the best way of collecting? Fourthly, what is the relation between the stamp tax rate in our country and the volatility? Lastly, what's the relation between stamp tax rate and the liquidity? Findings of this paper provide conclusions below:
     Firstly, stamp tax is a significant representation of the low cost indicates, and has very strong correlation with the liquidity indicates and the stability indicates, with a weak correlation with the effectively indicate, transparency indicate and safe indicate. Therefore, this paper mainly focuses on the effect on liquidity and volatility.
     Secondly, the stamp tax rate has been fluctuated from 0.1% to 0.6%.When the rate is 0.1%, the market operational performance is best, with the highest liquidity and the lowest volatility; when the rate is between 0.3% and 0.4%; the operational performance is the worst, with the lowest liquidity and the highest volatility. Presently, the stamp tax rate in our country is collected at 0.3%.It is the worst judging from the performance.
     Thirdly, different ways of collecting taxes has different impact on the market operational performance. Theoretically, the fall of volatility demands taxes from sellers, while the rise of liquidity demands taxes from buyers. But according to the results of the numerical simulation, stamp taxes from sellers only can bring down the volatility but doesn't affect the liquidity. So, stamp taxes from sellers only can improve the market operational performance.
     Fourthly, stamp tax has unsymmetrical correlation with volatility, which involves the unsymmetrical impact on volatility by different rates, and the adjustments of the rates. The correlation is not linear. When the stamp tax rate locates in the middle, the volatility of the stock price is the highest. Meanwhile, the adjustments of the stamp tax rate will raise the volatility in a short time. And the rise of the rate has a more significant impact than the fall.
     Lastly, stamp tax rate has a significant minus impact on the liquidity. The rises of the rate bring down the liquidity in the market. The impact is unsymmetrical: the change of liquidity caused by the rate rise exceeds much that caused by the fall, and the impact on liquidity of rate rise is more rapid.
     The results of this paper provide suggestions of the relation between stamp tax rates and the stock market to the supervisors, also some possible ways of the researches in the future.
引文
[1]陈浪南,黄杰鲲.中国股票市场波动非对称性的实证研究[J].金融研究.2002(5):67-73.
    [2]陈伟中,金以萍,汪洛.证券资产动态定价模型与机制研究[J].西安交通大学学报,1997,31:105-111.
    [3]陈勇.晚清印花税探析[J].江苏商论,2004(10):162-164.
    [4]戴国强,吴林祥.金融市场微观结构理论.[M]上海财经大学出版社1999.
    [5]董再平.我国证券市场的税制研究[D].成都:西南财经大学,1997.
    [6]东北财经大学金融工程研究中心和华夏证券研究所联合课题组.中国证券市场交易费用效应问题的实证研究.上证联合研究计划第四期课题报告,2002.
    [7]范南,王礼平.我国印花税调整对证券市场波动性影响实证研究[J].金融研究,2003(6):38-48
    [8]高建宁.我国印花税的历史定位[J].税务与经济,1999(15):25-28.
    [9]何双喜.我国股票市场流动性研究[D].成都:电子科技大学,2003.
    [10]黄余海.中国证券市场内幕交易实证研究.[D]上海:复旦大学,2003.
    [11]黄兴,苏卫东.当代证券市场研究的发展趋势[J].国际金融研究,2003(6).
    [12]胡世明.我国印花税调整效应及其制度改进[D].上海:上海财经大学,2004.
    [13]蒋祥林.中国股票市场波动性影响因素研究[D].天津:天津大学,2002.
    [14]贾朱凯.论我国资本市场税制的改革与完善[D].上海:上海社会科学院研究生,2007
    [15]纪路,陈伟忠.市场微观结构及其对市场流动性的影响分析[J].财经问题研究2000,(9):63-66.
    [16]靳云汇,杨文.上海股市流动性影响因素实证分析[J].金融研究,2002(6):12-21.
    [17]李平,曾勇 市场微观结构理论综述[J].管理科学学报2003,6-5.
    [18]李靖野,梁春满.证券交易税的经济效应分析[J].财经问题研究,2002(1):36-38.
    [19]李锁云,李静萍.投资者行为异象的行为金融学解释[J].经济学动态,2003(4):60-70.
    [20]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,2002.54-62.
    [21]李心丹等.中国证券投资者行为研究--上证联合研究计划第三期课题报告,2002.
    [22]李心丹.行为金融学--理论及中国的证据[M].上海:上海三联书店,2004.
    [23]刘红忠.金融市场学.[M].上海人民出版社2002.
    [24]刘逖.证券市场微观结构理论与实践[M].复旦大学出版社,2002.
    [25]刘波.资本市场结构-理论与现买选择[M].复旦大学出版社,1999.
    [26]刘海龙,郑立辉,吴冲锋.现代金融理论的进展综述[J].系统工程理论与实践2001,14-20.
    [27]刘海龙,仲黎明,吴冲锋.股票流动性的度量方法[J].系统工程理论与实践,2003(1):16-21.
    [28]陆蓉,徐龙炳.“牛市”和“熊市”对信息的不平衡性反应研究[J].2004(3):66-72.
    [29]梅开.股票市场印花税改革研究[D].北京:北京工商大学,2006.
    [30]孟卫东,杨万里.连续竞价市场个股流动性的度量方法、指标与模型[J].当代财经,2006(8):44-49.
    [31]穆启国,吴冲锋,刘海龙.深圳证券交易所买卖价差的构成分析[J].系统工程理论方法应用,2004(6):239-249.
    [32]攀登、施东晖.中国个人投资者采用股价趋势交易策略的经验研究.世界经济.2003,11:71-77.
    [33]乔立娟.噪声交易理论在中国证券市场的实证研究.长沙:长沙理工大学2005.
    [34]乔英镭.关于规范我国印花税的研究[D].株洲:中南林学院,2001.
    [35]屈文洲,吴世农.中国股票市场微观结构的特征分析--买卖报价价差模式及影响因素的实证研究[J].经济研究,2002(1):56-63.
    [36]饶立新,曾耀辉.中国印花税与印花税票[M].中国税务出版社,1999:21-22.
    [37]单树峰.股票市场流动性研究[D].上海:华东师范大学,2003.
    [38]施东晖.中国股市微观行为理论与实证[M].上海:上海远东出版社,1995.
    [39]施东晖,孙培源.市场微观结构--理论与中国经验[M].上海:上海三联书店.
    [40]史永东,蒋贤锋.中国证券市场印花税调整的效应分析[J].世界经济, 2003(12):63-71.
    [41]史晨昱,范幸丽.证券交易税理论与实践的发展[J].财贸经济,2004(5):86-89
    [42]宋军.吴冲锋.证券市场中羊群行为的比较研究[J].统计研究.200l,(1):37-42.
    [43]宋军,吴冲锋.金融市场中群羊行为的成因及控制对策研究[J].学术研究,2000,(3):49-51.
    [44]苏冬蔚,麦元勋.流动性与资产定价:基于我国股市资产换手率与预期收益的实证研究[J].经济研究,2004(2):95-105.
    [45]孙培源,施东晖.微观结构、流动性与买卖价差:一个基于上海股市的经验研究[J],世界经济,2002(4):69-72.
    [46]谭加劲.证券交易税与证券市场的波动性--兼论我国证券交易税制的改革[J].学术论坛,2006(8):114-117.
    [47]谭加劲.印花税税率下降对我国A股市场波动性影响的实证分析[D].广州:暨南大学,2003.
    [48]唐齐鸣,叶俊.噪声交易下证券市场参加主体的最优决策模型[J].数量经济技术经济研究,2003(3):103-107.
    [49]唐齐鸣,陈健.中国股市的ARCH效应分析[J],世界经济,2001(3):29-36.
    [50]王春峰,程鹏飞,房振明.中国股市流动性与波动性关系的实证研究[J].北京理工大学学报(社会科学版),2007(8):63-66.
    [51]王一鸣.数理金融经济学[M].北京大学出版社,2000
    [52]吴世农.我国证券市场效率的分析[J].经济研究,1996(4):1-7
    [53]许睿,刘海龙,中国A股市场流动性统计特性与变化趋势[J],系统工程理论与实践,2004(3):26-32.
    [54]许睿,冯芸,吴冲锋.影响中国A股市场流动性的政策和因素[J].上海交通大学学报,2004(3):362-367.
    [55]杨之曙,吴小玫.证券市场流动性研究[N].证券市场导报,2000,1.
    [56]袁东.证券市场上做市商制度的运作机理分析[J].证券市场导报,1997.2.
    [57]王聪.我国证券市场交易成本制度研究--关于中国证券市场的SCP分析框架[D].广州:暨南大学,2002.
    [58]王芳.我国证券税制的功能探析[D].成都:西南财经大学,2007.
    [59]王刚.上海股市流动性和收益率的动态关系研究[J].时代经贸,2007(8):3-4
    [60]王南.中国证券流转税制研究[D].上海:复旦大学:2000
    [61]王新颖.印花税调整对股票价格影响的实证研究[J].税务与经济,2004(5):53-56
    [62]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(6):56-61.
    [63]张维,梁朝晖.中国股票市场流动性与收益动态关系研究[J].系统工程理论与实践,2004(10):22-26.
    [64]章融,金雪军.对噪声交易的分类研究[J].财贸经济,2003(7):84-89.
    [65]朱国华,余宙.不对称信息下的做市商制度分析[J].证券投资,1998,10:39-43.
    [66]庄新田,黄小原.证券市场流动性与交易者群体变动的混沌研究[J].管理科学学报,2002,5(6):34-38.
    [67]郑婵君.借鉴国际经验改革我国的证券税制[D].北京:北京师范大学,2005.
    [68]周宏,刘勇.交易成本对股票价格的影响研究--基于深圳股票市场的经验研究[J].经问题研究,2005(3):45-51
    [69]朱文杰.影响中国股市的政策、政策工具及效应分析文[D].郑州:郑州大学,2007.
    [70]朱小斌.连续竞价市场中的流动性--基于中国沪深股市的实证研究[D].厦门:厦门大学,2003.
    [71]Admati,Anat and Paul Pfleiderer,A theory of intraday patterns:Volume and price variability[J],Review of Financial Studies,1988(1 ):3-40.
    [72]Allen B.Atkins,Edward A.Dyl.Stock Price Volatility,Transactions Costs and Securities Transactions Taxes[J].Managerial and Decision Economics,1997(18):709-718
    [73]Amihud,Y.,Mendelson,H.,The effects of beta,bid-ask spread,residual risk and size on stock returns[J].Journal of Finance,1989(44),479-486.
    [74]Amihud,Yakov and Haim Mendelson,Asset pricing and the bid-ask spread[J],Journal of Financial Economics,1986(17):223-250.
    [75]Andersen,T.Return Volatility and Trading Volume in Financial Markets;an Information Flow Interpretation of Stochastic Volatility[R].Working paper,Northwestern University,1992.
    [76]Atkins,A.B.and E.A.Dyl,Transactions costs and holding periods for common stocks[J],Journal of Financel997(52):309-325.
    [77] Back K., Pederson H., Long-lived information and intraday patterns [J],Journal of Financial Markets, 1998 (1): 385-402.
    [78] Bagehot. W, The only game in town [J], Financial Analysts Journal 1971 (22): 12-14.
    [79] Barberries, Shleifer, Vishny. A model of investor sentiment [J]. Journal of Financial Economics, 1998(49): 307-343.
    [80] Barberis N., A .Shleifer and R. Vishny, A Model of Investor Sentiment [J], Journal of Financial Economics, 1997( 49): 307-343
    [81] Barclay Michael J. Eugene Kandel and Leslie M.Marx, the Effects of Transaction Cost on Stock Prices and Trading Volume [J] , Journal of Financial Intermediation, 1998: 130-150.
    [82] Black, Fischer. Towards a fully automated exchange: Part 1 [J],Financial Analyst Journal 1971(27): 29-34.
    
    [83] Black Fischer. Noise [J], Journal of Finance 1976 (41): 529-543
    [84] Bloomficld, Rand M. O'Hara, Market Transparency: Who Wins and Who Loses? [J] Review of Financial Studies, 1999 (12): 5-36.
    [85] Bloomfeild R., O'Hara M., Can transparent markets survive? [J] , Journal of Financial Economics, 2000 (55): 425-459.
    [86] Bollerslev, T. A Generalized Autoregressive Conditional Heteroskedasticity[J], Journal of Econometrics, 1986 (31): 307-327.
    [87] Bollerslev, T. .A Conditional Heteroskedastic Time Series Model for Speculative Price and Rates of Return [J]. Review of Economics and Statistics, 1987 (59): .S42-S47.
    [88] Brennan, M. J., & Subrahmanyam, A. Market microstructure and asset pricing: on the compensation for illiquidity in stock returns [J]. Journal of Financial Economics, 1996 (41): 441-464.
    [89] Brennan M., and P.Hughes, Stock prices and the supply of information [J]. Journal of Finance , 1991 (46): 1665-1691
    [90] Brock W. A., Kleidon A. W.,, Periodic maket closure and trading volume [J], Forecasting, 1992 (17): 59-80.
    [91] Copeland, Thomas and Dan Galai, Information effects on the bid ask spread [J], Journal of Finance, 1983 (38): 1457-1469.
    [92] Campbell, John Y, and Albert S. Kyle, Smart money, noise trading and stock price behavior [J], Journal of Economic Studies, 1983 (60): 1-34.
    [93] Chan L., Lakonishok J., Institutional Hades and infra-day stock price behavior [J] , Journal of Financial Economics, 1993 (33): 173-200.
    [94] Charles M. Jones. Paul J. Seguin. Transaction Costs and Price Volatility: Evidence from Commission Deregulation [J]. The American Economic Review, 1997 (87): 728-737.
    [95] Chowdhry B., Nanda V., Multi-market trading and market liquidity [J] , Review of Financial Studies, 199 (14): 483-511.
    [96] Coda H, Informed speculation and asset prices when the order flaw is disaggregated [J], Working paper, Stanford University, 1993
    [97] Cooper, K., J. Groth and W. Avera, Liquidity, Exchange Listing, and Common Stock Performance [J] , Journal of Economics and Business 37, 1985 (2): 19-33.
    [98] Copeland, T.E. A model of asset trading under the assumption of sequential information arrival [J] , Journal of Finance, 1976 (31): 1149-1168.
    [99] Coppejans M., Domowitz L, Pricing behavior in an off-hours computerized market [J] , Journal of Empirical Finance, 1999 (6): 583-607.
    [100] Corwin S. A., Differences in trading behavior across NYSE specialist firms [J] , Journal of Finance, 1999 (54): 721-745.
    [101] Degryse, H., The total cost of trading Belgian shares: Brussel versus London [J]. Journal of Banking and Finance 1999 (23): 1331-1355.
    [102] De Long, J, B et al. Noise Trade Risk in Financial Market [J], Journal of Political Economy, 1990 (98) 703-738.
    [103] Demsetz H., The game of transaction [J] , Quarterly Journal of Economics, 1968 (82): 33-53.
    [104] Domowitz,I. The Mechanics of Automated Trade Execution [J], Journal of Financial Intermediation, 1990( 1): 167-194.
    [105] Dubofsky, D. And J. Groth, Exchange Listing and Stock Liquidity [J], Journal of Financial Research, Winter 1984 (7): 291-301.
    [106] Dutter P., Madhavan A., Competition and collusion in dealer markets [J], Journal of Finance, 1997 (52): 245-276.
    
    [107] Easley, David and Maureen O'Hara, Price, trade size, and information in securities markets [J], Journal of Financial Economics 1987(19): 69-90.
    [108] Easley, David and Maureen O'Hara, Time and the process of security price adjustment [J], The Journal of Finance, 1992 (47): 577-606.
    [109] Easley D., Kiefer, N., O'Hara, M., One day in the life of a very common stock [J] , Review of Financial Studies, 1997 (10): 805-835.
    [110] Engle R. Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of U.K. Inflation [J]. Econometrica, 1982(50): 987-1008.
    [111] Engle, Robert and J. Russell, Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model [R], University of California, San Diego, unpublished manuscript, 1995.
    [112] Engle, Robert f., & Joe Lange, 1997, Measuring, forecasting and explaining time varying liquidity in the stock market [R], Discussion paper 97-12, University of California, San Diego, Department of Economics.
    [113] Foster, F.Douglas, and S. Viswanathan, 1993, Variations in tradingvolume, return volatility, and trading costs: evidence on recent price formation models [J], The Journal of Finance 48, 187-212.
    [114] Fama, E. The Behavior of Stock market prices [J], Journal of Business. 1965(38): 34-106.
    [115] Fama, E. Efficient capital markets: A review of theory and empirical work [J]. Journal of Finance, 1970(25): 383-417.
    [116] Fama, Eugene F. 1991. Efficient capital markets [J], Journal of Finance 46, 1575-1617.
    [117] Foster, F.D., Viswanathan, S.: A theory of interday variations in volume, variance, and trading costs in securities markets [J], Review of Financial Studies, 1990 (3): 593-624.
    [118] Foster, F.D., Viswanathan, S.: The effect of public information and competition on trading volume and price volatility [J], The Review of Financial Studies, 1993 (6): 23-56.
    [119] Foster, F.D., Viswanathan, S.: Strategic trading with asymmetrically informed traders and long-lived information [J], Journal of Finance andQuantities Analysis, 1994 (29): 499-518.
    [120] Foster; F.D., Viswanathan, and S. Can speculative trading explain the volume-volatility relation? [J], Journal of Business Economics and Statistics 1995 (13): 379-396.
    [121] Foster, F.D., Viswanathan,: Strategic trading when agents forecast the forecasts of others [J] , Journal of Finance, 1996 (51): 1437-1478.
    [122] Friend. I. and M. Blume. The demand for assets [J]. American Economic Review. 1975 (12): 900-922.
    [123] French, Kenneth G, William Schwert, Robert Stambaugh, Expected stock returns and volatility [J], Journal of Financial Economics, 1987 (19): 3-30
    [124] Fudenberg, D. And J. Tirole, Perfect Bayesian equilibrium and sequential equilibrium [J] , Journal of Economic Theory , 1991 (53): 236-260.
    [125] Garbade, D., Securities Market [M], New York: McGraw Hill, 1985.
    [126] Garman, M., , Market microstructure [J], Journal of Financial Economics, 1976 (3): 257-275.
    [127] George, Thomas, Guatam Kaul, Nimalendran, M., Estimating the components of the bid-ask spread: A new approach [J]. Review of FinancialStudies, 1991 (4): 623-656.
    [128] Glen R. Components of the Bid-ask Spread and The Statistical Properties of Trascation Prices [J], Journal of Business 1994 (62): 211-235.
    [129] Glosten, Lawrence R. And Lawrence E. Harris, Estimating the components of the bid-ask spread [J] , Journal of Financial Economics 1988 (21): 123-142.
    [130] Glosten, Lawrence R. And Paul R. Milgrom, Bid, ask, and transaction prices in a specialist market with heterogeneously informed traders [J], Journal of Financial Economics, 1985 (14): 71-100.
    [131] Glosten, Lawrence R., Components of the bid-ask spread and the statistical properties of transaction prices [J], Journal of Finance 1987 (42): 1293-1308.
    [132] Glosten, L.R. Insider trading, Liquidity and the Role of the Monopolist Specialist [J]. Journal of Business. 1989(62): 211-235
    [133] Glosten L. R., Jagannathan, D.Runkle, On the relation between the expected clue and the volatility of the nominal excess return on stocks [J] , Journal of finance, 1993 (48): 1779-1801.
    [134] Grundfest, J. A. and Shoven, J. B. Adverse implications of a securitytransaction excise tax [J]. Journal of Accounting, Auditing and Finance 1991 (6): 409-442
    [135] Handa, P., &R. A. Schwartz,, How best to supply liquidity to a securities market [J], The Journal of Portfolio Management, 1996 (22): 44-51
    [136] Harris, Lawrence E., Transaction data tests of the mixture of distributions hypothesis [J], Journal of Financial and Quantitative Analysis, 1987 (22): 127-142.
    [137] Harris, Lawrence E. Liquidity, Trading Rules, and Electronic Trading Systems, Monograph Series in Finance and Economics 1990.
    [138] Harris, Lawrence E., Minimum price variations, discrete bid-ask spreads, and quotation sizes [J], Review of Financial Studies, 1994 (7): 147-178.
    [139] Hasbrouck, J. and R. Schwartz, The Liquidity of Alternative Market Centers: A Comparison of the New York Stock Exchange, American Stock Exchange, and the NASDAQ National Market System, American Stock Exchange Transaction Data Research Project, Report #1 [R], January 1986.
    [140] Hasbrouck, J. & Schwartz, R. A., Liquidity and execution costs in equity markets [J]. Journal of Portfolio Management, 1988 (14): 10-16.
    [141] Hasbrouck, J., Assessing the quality of a security market: a new approach to transaction-cost measurement [J]. The Review of Financial Studies, 1993 (6): 191-212.
    [142] Hasbrouck, Joel, Trades, quotes, inventories and information [J], Journal of Financial Economics 1988 (22): 229-252.
    [143] Hasbrouck, Joel, Measuring the information content of trades [J], The Journal of Finance 1991 (46): 179-208.
    [144] Hasbrouck, Joel, and Robert A. Schwartz, Liquidity and Execution Costs in Equity Markets [J], Journal of Portfolio Management 1988(14): 10-16.
    [145] Hasbrouck, Joel, George Sofianos and Deborah Sosebee,, New York Stock Exchange systems and trading procedures [R], NYSE Working Paper, 1993.
    [146] Hausman, Jerry A., Andrew W. Lo, and A. Craig MacKinlay, An ordered probit analysis of transaction stock prices [J], Journal of Financial Economics 3-1, 319-379.
    [147] Ho, Thomas and Hans Stoll, Optimal dealer pricing under transactions and return uncertainty [J], Journal of Financial Economics, 1981 (9)47-73.
    [148] Hu , Shing-yang. The Effects of the Transaction on the Stock Market-experiences from Markets [J]. Pacific-Basin Finance Journal, 1998 (6): 347-364.
    [149] Huang, R.D., Stoll, H.R., Dealer versus auction markets: a paired comparison of execution costs on NASDAQ and the NYSE [J]. Journal of Financial Economics 1996 (41): 313-358.
    [150] Hui, B. And B. Heubel, Comparative Liquidity Advantages Among Major U.S. Stock Markets [M] , Data Resources, Inc: Lexington, MA, 1984.
    [151] Jackson, P.D. and A.T. O'Donnell. The effects of stamp duty on equity transactions andprices in the U.K. stock exchange[R].Discussion Paper No. 25, The Bank of England, 1985.
    [152] Jain P., John G. H., The dependence between hourly prices and trading volume [J] , Journal of Financial and Quantitative Analysis, 1988 (23): 269-283.
    [153] Jegadeesh N, Titman S. Returns to buying winners and selling lose: Implications for stock market efficiency [J]. Journal of Finance. 1993(48): 65-91
    [154] John Y. Campbell and Kenneth A. Froot. International Experiences with Securities transaction taxes [M] , in Frankel , J (ed.) , TheInternationalization of Equity Market, University of Chicago Press. 1994.
    [155] Jones, Charles M. and Seguin, Paul J., Transaction Costs and Price Volatility: Evidence from Commission Deregulation [J]. The American Economic Review, 1997, 87(4): 728-737.
    [156] Kandel E., Marx L., Nasdaq market structure and spread patterns [J], Journal of Financial Economics, 1999 (51): 85-102.
    [157] Karpoff J. M., The relation between price changes and trading volume: Asurvey [J], Journal of Financial and Quantitative Analysis, 1987 (22): 109-123
    [158] Kavejecz K., A specialist's quoted depth and the limit order book [J], Journal of Finance, 1999 (54): 746-771.
    [159] Keim D. B., Madhavan A., The upstairs market for large-block transactions: analysis and measurement of price [J], Review of Financial Studies, 1996 (9): 1-36.
    [160] Kim, O., and R. Verrecchia, Market reactions to anticipated public announcements [J], Journal of Financial Economics 1991 (30): 273-310.
    [161] Kraus, Alan, and Hans R. Financial and Quantitative Stoll, Parallel trading by institutional investors [J], Journal of Analysis, 1972 (7): 2107-2138.
    [162] Kraus A., Stoll H., Price impacts of block trading the NYSE [ J], Journal of Finance, 1972 (27): 569-588.
    [163] Kumar, Y D. J. Seppi, Futures Manipulation with Cash Settlement [J], Journal of Finance, 1992 (47): 1485-1502.
    [164] Kupiec, PH.A Noise Trader, Excess Volatility, and a Securities Transactions Tax [J]. Journal of Financial Services Research, 1996 (10): 115-129.
    [165] Kupiec, PH.A Securities Transactions Tax and Capital Market Efficiency [J]. Contemporary Economics Policy, 1995 (13): 101-112
    [166] Kyle, A.: Informed speculation with imperfect competition [J], Review of Economic Studies, 1988 (56): 317-356.
    [167] Kyle, Albert, Albert Wang: Speculation duopoly with agreement to disagree: Can overconfidence survive the market test? [J], Journal of Finance 1997 (52): 2073-2090.
    [168] Lakonishok, Josef, Andrei Shleifer, and Robert W. Vishny, the impact of institutional trading on stock prices [J], Journal of Financial Economics, 1992(32): 23-44.
    [169] Lam P. H. L., Tong W. H. S. Interdaily volatility in a continuous order-driven market [J] , Journal of Business Finance and Accounting, 1999 (26): 1013-1036.
    [170] Lee Charles M. C., Mark J. Ready, and Paul J. Seguin, Volume, volatility, exchange trading halts [J], Journal of Finance, 1994(49): 183-214
    [171] Levene, H. Variances, in Olkin and Press Statistics. Palo Robust tests for Equality of eds., Contributions to Probability [R] Alto, Calif; Stanford University 1960: 278-292.
    [172] Lindgren R. and Westlund A., How did transaction costs on the Stockholm stock exchange influence trade and pricevolatility [J] , Sknadianviska Enskilda Banken Quarterly Review, 1990 (2): 30-35.
    
    [173] LiorenteG, Michaely R, SaarG, Dynamic volume-return, relation of individual stocks [J], Review of Financial Studies, 2002(4): 1005-1047.
    [174] Lippman, S.A., & McCall, J.J., , An operational measure of liquidity, The American Economic Review, 1986 (76): 43-55, 175-203.
    [175] Loeb T. F., Trading cost: the critical link between investment information and results [J] , Financial Analysts Journal, 1983 (39): 39-43.
    [176] Madhavan A., Trading mechanisms in securities markets [J] , Journal of Finance, 1992 (47): 607-641.
    [177] Madhavan A. Market microstructure: a survey [J] , Journal of Financial Markets, 2000 (3): 205-258.
    [178] Madhavan, Ananth N., David Porter, and Daniel Weaver, Should securities markets be transparent? [J], Journal of Financial Markets 2005( 8): 265-287.
    [179] Marsh, Terry and Kevin Rock, 1986, Exchange Listing and Liquidity: A Comparison of the American Stock Exchange with the NASDAQ National Market System [M], Report #2, American Stock Exchange Transactions Data Research Project, 1986.
    [180] Massoud N., Bernhardt D., Stock market dynamic with rational liquidity traders [J] , Journal of Financial Markets, 1999 (2): 359-389.
    [181] Martin, P., Analysis of the impact of competitive rates on the liquidity of NYSE stocks [R], Economic Staff Papers, Securities and Exchange Commission, July 1975.
     [182] Massimb, M. N., Phelps B D, Electronic Trading, Market Structure and Liquidity [J], Financial Analysts Journal, 1994 (50): 39 - 50.
    [183] Mclnish T., Wood R. A., An analysis of intraday patterns in bid/ask spreads for NYSE stocks [J] , Journal of Finance, 1992 (47): 753-764.
    [184] Mendelson H., Consolidation, fragmentation and market performance [J], Journal of Financial and Quantitative Analysis, 1987 (22): 189-207.
    [185] Naik, Narayan Y, & Pradeep K. Yadav, The Effects of Market Reform on Trading Costs of Public Investors: Evidence from the London Stock Exchange[R], 1999.
    [186] Nelson, D. B. Conditional heteroskedasticity in asset returns: a new approach [J], Econometrica 1991(59):347-370.
    [187] Odean T., Are Investors Reluctant to Realize Their Losses? [J], Journal of Finance 1998 (53): 1775-1798.
    
    [188] O'Hara, Maureen. Market Microstructure Theory [M]. Basil Blackwell, 1995.
    [189] O'Hara, Maureen and George Oldfield, The microeconomics of market making [J], Journal of Financial and Quantitative Analysis 1986 (21):361-376.
    [190] Pagano M., Endogenous market thinness and stock price volatility [J] , Review of Economic Studies, 1989 (56): 269-288.
    [191] Parlour, C., Price dynamics in limit order market [J], Review of Financial Studies, 1998 (11): 789-816.
    [192] Prat J, Transaction Costs,Liquidity and Stock Dynamics in Latin America [R], University of California:Los Angeles,Working Paper, 2001.
    [193] Roll, R., A simple implicit measure of the effective Bid-Ask spread in an efficient market [J]. Journal of Finance , 1984 (39): 1127-1139.
    [194] Roll R. Price volatility, international market links and their implications forregulatory policies [J], Journal of Financial Services Research 1989 (3): 211-246.
    [195] Saporta V. and Kan K., the Effects of Stamp Duty on Level and Volatility of UK Equity Price [R] , Bank of England, Working paper, 1997.
    [196] Shiller, Robert I., Irrotional Exuberance [M] , University Press, 2000.
    [197] Schwartz, Robert A., Reshaping the Equity Markets: A Guide for the 1990s [M], Business One Irwin, Illinois, 1993.
    [198] Schwartz, R. A., Equity markets: Structure, trading, and performance [M]. New York: Harper & Row, 1988.
    [199] Shefrin, Statman., Behavioral capital, asset pricing [J]. Journal of Financial and Quantitative Malysis, 1994 (29): 323-349.
    [200] Song, M. and Zhang, Junxi. Securities Transactions Tax and Market Volatility [R]. Working paper, The University of Hong Kong, 2001.
    [201] Spiegel M, Subrahmanyam, A. Informed speculation and hedging innoncompetitive securities market [J]. Review of Financial Studies, 1992 (4): 17-52.
    [202] Stiglitz, Joseph E. Using Tax Policy to Curb Speculative Short-Term Trading [J]. Journal of Financial Services Research, 1989 (3): 101-15.
    [203] Stoll H. R., The supply of dealer services in securities markets [J] , Journal of Finance, 1978 (33): 1133-1151.
    [204] Stoll, Hans R., The stock exchange specialist system: an economic analysis [R], Monograph Series in Finance and Economics, 1985.
    [205] Stoll, Hans R., Inferring the components of the bid-ask spread: theory and empirical tests [J], The Journal of Finance 1989 (44): 115-134.
    [206] Subrahmanyam, Avanidhar. Transaction Taxes and Financial Market Equilibrium [J]. Journal of Business, 1998 (71) .
    [207] Summers, Lawrence H., and Summers, Victoria P . When Financial Market Work Too Well: A Cautious Case for a Securities Transaction [J] Journal of Financial Services Research, 1989(3): 261-286.
    [208] Tobin, J. On the Efficiency of the Financial System [J]. Lloyd's Bank Review, 1984 (153): 1-15.
    [209] Umlauf, S. The Transaction Taxes and the Behavior of Swedish Stock Market [J]. Journal of Financial Economics. 1993, (33): 227- 240.
    [210] Wang, J. A model of intertemporal asset prices under asymmetric information, Review of Economic Studies 1993 (60): 249-282.
    [211] Wang, J. A model of competitive stocking trading volume [J], Journal of Political Economy, 1994 (102): 127-168.
    [212] Werner L, Who gains from stealth? [R], working paper, Ohio State University, 1998.
    [213] Wood R. A., Mclnish T. H., Ord J. K., An investigation of transaction data for NYSE stocks [J] , Journal of Finance, 1985 (25): 723-739.
    [214] Zakoian, J.M., Threshold heteroskedastic models [J]. Journal of Economic Dynamics and Control, 1994 (18): 931-955.
    [215] Zhang, Li. The Impact of Transaction Tax of Stock Markets: Evidence from an Emerging Market [R]. MS research paper, East Carolina University, 2001.

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