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系統識別號 U0002-3005200800492000
中文論文名稱 市場透明度對流動性、波動性與交易成本的影響:限價委託簿實證
英文論文名稱 Market Transparency Effect on Liquidity, Volatility and Trading Cost: Empirical on Limited Order Book
校院名稱 淡江大學
系所名稱(中) 財務金融學系碩士班
系所名稱(英) Department of Banking and Finance
學年度 96
學期 2
出版年 97
研究生中文姓名 楊雅筑
研究生英文姓名 Ya-Chu Yang
學號 695530120
學位類別 碩士
語文別 中文
口試日期 2008-05-27
論文頁數 96頁
口試委員 指導教授-段昌文
委員-邱建良
委員-洪坤
委員-張琬喻
中文關鍵字 限價委託簿  一般動差法  市場透明度  逆選擇成本  委託單擲交成本 
英文關鍵字 adverse cost  GMM  limit order book  market transparency  order submission cost 
學科別分類 學科別社會科學商學
中文摘要 台灣證券交易所為了提升市場資訊透明度,自2003年1月2日起將報價揭示從最佳一檔買賣報價改為揭露最佳五檔買賣報價。本文主要應用Sandas (2001) 的限價委託簿結構模型,以GMM方法對台灣證交所委託簿資料進行實證。研究樣本則分為揭露五檔的初期與四年後的近期兩區段。為了觀察市場透明度增加後市場流動性、波動性與交易成本間的關係,本文採用Panel Data模型來進行分析。
參數估計結果發現,市價買賣單委託數量符合市價單數量分配的特性,非常接近實際限價委託簿情況;委託單擲交成本為負,反映交易者理性的投單行為;市價單價格衝擊皆為正,隱含逆選擇成本為正值;另外,與委託單擲交成本及逆選擇成本相比,公共資訊對於股價變動的影響比較小。
實證顯示,市場透明度提升後,市場委託買賣單數量是減少的,委託單擲交成本是降低的,逆選擇成本是降低的,顯示台灣證交所實證揭露五檔措施能有效改善資訊不對稱的程度。此外,交易者較偏好擲交台灣卓越50成份股的委託單,提升其流動性,亦降低資訊不對稱所產生的逆選擇程度;而T50成份股委託單處理成本的負值程度較高,顯示交易者擲交T50成份股的委託單,其監視成本較高。
在以Panel Data模型進行實證結果顯示,透明度提升後委託單擲交成本是降低的,而個股流動性對委託單擲交成本的影響則為負;市場波動性對委託單擲交成本的影響則為正;個股波動性對逆選擇成本的影響則為負。
英文摘要 In order to elevate market transparency of the information, Taiwan Stock Exchange Corporation (TSEC) started to disclose the best five bids and asks quotations in January 2, 2003. We apply the structural model of Sandas (2001) and use the data of limit order book from TSEC. The empirical mothodology is based on GMM method and the research sample is divided into two different periods. Finally, we also use Panel Data model to observe the relationship between estimated parameter, volatility and liquidity.
The empirical results represent that market order flow characterizing the distribution of market buy/sell order quantities. The estimated order processing cost is negative, but this could reflect rational behavior of orders by traders. We also find that the price impact of market orders is positive, presents adverse selection cost is positive.
Furthermore, we show that the improvement of market transparency not only decreases the order submission and adverse selection costs but also reduces the level of information asymmetry. When traders submitted the order of Taiwan top 50 constituent stocks, the monitor cost of limit order book is higher.
Finally, the results of empirical study on Panel Data model, we find that the individual stock liquidity impact on order submission cost is negative. Then, the market volatility impact on order submission cost is positive. However, the stock volatility impact on adverse selection cost is negative.
論文目次 目錄
中文摘要................................................I
英文摘要................................................II
目錄....................................................III
表目錄..................................................V
圖目錄..................................................VI
第一章 緒論............................................1
第一節 研究背景與動機..............................1
第二節 研究目的....................................4
第三節 研究架構....................................5
第四節 研究流程....................................6
第二章 文獻回顧........................................7
第一節 全球證券市場之交易與揭示制度................7
第二節 市場透明度之相關文獻........................20
第三節 限價單與交易者投單策略之相關文獻............26
第三章 理論模型........................................30
第一節 委託簿均衡過程..............................30
第二節 Sandas (2001) 的限價委託簿結構模型..........32
第三節 結構模型之限制條件式........................36
第四節 流動性、波動性與交易成本之理論關係..........40
第四章 研究設計與方法..................................42
第一節 研究設計....................................42
第二節 研究方法....................................45
第三節 橫斷面分析..................................55
第五章 實證結果........................................57
第一節 結構模型參數值..............................57
第二節 訊息變數與參數值之關係驗證..................72
第六章 結論與建議......................................83
第一節 結論........................................83
第二節 研究建議....................................86
參考文獻................................................87
附錄I 第一類樣本-台灣50指數成分股之43支樣本股票.......93
附錄II 第二類樣本-台灣中型100指數成分股之84支樣本股票..94
附錄III 第三類樣本-其他上市公司之233支樣本股票..........95

表目錄
表1.1.1 全球證券交易所現行價量資訊揭示情況.............2
表2.1.1 2007年12月份市值前十大之全球證券交易所.........8
表2.1.2 全球主要證券交易所交易機制比較表...............14
表2.1.3 盤中撮合前後之買賣價量委託情形.................19
表4.1.1 樣本敘述統計量.................................43
表4.2.1 流動性之定義...................................49
表5.1.1 2003年第一類樣本-損益兩平與更新條件採分離估計結果 ...............................................58
表5.1.2 2007年第一類樣本-損益兩平與更新條件採分離估計結果 ...............................................60
表5.1.3 2003年第一類樣本-平均損益兩平與更新條件採合併估計結果 ...............................................64
表5.1.4 2007年第一類樣本-平均損益兩平與更新條件採合併估計結果 ...............................................66
表5.1.5 全體樣本之平均數差檢定結果.....................71
表5.2.1 Hausman test檢定結果...........................73
表5.2.2 以ETF樣本分類之Panel Data迴歸估計結果-固定效果模型 ...............................................78
表5.2.3 以市值帳面價值比分類之Panel Data迴歸估計結果-固定效果模型 ...............................................81

圖目錄
圖4.1.1 第一子區段示意圖...............................44
圖4.2.1 2003年與2007第一類樣本 (T50) 之流動性..........51
圖4.2.2 2003年與2007第二類樣本 (T100) 之流動性.........51
圖4.2.3 2003年與2007第三類樣本 (Other) 之流動性........51
圖4.2.4 2003年與2007第一類樣本 (T50) 之波動性..........54
圖4.2.5 2003年與2007第二類樣本 (T100) 之波動性.........54
圖4.2.6 2003年與2007第三類樣本 (Other) 之波動性........54
參考文獻 英文部分
1.Amihud, Y., and H. Mendelson, 1989, “The Effect of Computer Based Trading on Volatility and Liquidity.” in Lucas, H.C. and R.A. Schwartz, The Challenge of Information Technology for the Securities Markets, Liquidity, Volatility, and Global Trading, Homewood, IL: Dow Jones-Irwin.
2.Andersen, T. G., and T. Bollerslev, 1998, “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts.” International Economic Review 39, 885-905.
3.Backer, B., 1992, “Market Transparency.” Working Paper.
4.Bagehot, W., 1971, “The Only Game in Town.” Financial Analysis Journal 27, 12-14.
5.Baillie, R. T., and R. P. DeGennaro, 1990, “Stock Returns and Volatility.” Journal of Financial and Quantitative Analysis 25, 203-214.
6.Bangia, A., F. X. Diebold, T. Schuermann, and J. D. Stroughair, 1999, “Modeling Liquidity Risk, With Implications for Traditional Market Risk Measurement and Management.” Financial Institutions Center, The Wharton School.
7.Baruch, S., 2005, “Who Benefits from an Open Limit-Order Book?” Journal of Business 78, 1267-1306.
8.Bauwens, L., and P. Giot, 2001, “Econometric Modelling of Stock Market Intraday Activity.” Kluwer Academic Publishers, Dordrecht.
9.Bauwens, L., and P. Giot, 2003, “Asymmetric ACD Models: Introducing Price Information in ACD Models.” Empirical Economics 28, 709-731.
10.Biais, B., P. Hillion, and C. Spatt, 1995, “An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse.” Journal of Finance 50, 1655-1689.
11.Bisiere, C. and T. Kamionka, 2000, “Timing of Orders, Orders Aggressiveness and the Order Book at the Paris Bourse.” Annales d’Economie et de Statistique 60, 43-72.
12.Black, F. and M. Scholes, 1973, “The Pricing of Options and Corporate Liabilities,” Journal of Political Economy 81, 637-659.
13.Bloomfield, R., and M. O’Hara, 2000, “Can Transparent Market Survive?” Review of Financial Studies 4, 483-511.
14.Boehmer, E., G. Saar, and L. Yu, 2005, “Lifting the Veil: An Analysis of Pre-trade Transparency at the NYSE.” Journal of Finance 60, 783-815.
15.Brockman, P., and D. Y. Chung, 1999, “Bid-Ask Spread Components in an Order-Driven Environment.” Journal of Financial Research 22, 227-246.
16.Copeland, T. E. and D. Galai, 1983, “Information Effects on the Bid-Ask Spread.” Journal of Finance 38, 1457-1469.
17.Demsetz, H., 1968, “The Cost of Transaction.” Quarterly Journal of Economics 82, 33-53.
18.Dufour, A., and R. Engle, 2000, “Time and the price impact of a trade.” Journal of Finance 55, 2467-2498.
19.Easley, D., and M. O’Hara, 1987, “Price, Trade Size and Information Insecurities Markets.” Journal of Financial Economics 19, 69-90.
20.Easley, D., and M. O’Hara, 1991, “Order Form and Information in Securities Markets.” Journal of Finance 46, 905-928.
21.Engle, R. F., and J. Russell, 1998, “Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data.” Econometrica 66, 1127-1162.
22.Flood, M. D., R. Huisman, K. G. Koedijk, and R. J. Mahieu, 1999, “Quote Disclosure and Price Discovery in Multiple-dealer Financial Markets.” Review of Financial Studies 12, 37-59.
23.Foucault, T., 1999, “Order Flow Composition and Trading Cost in a Dynamic Limit Order Market.” Journal of Financial Markets 2, 99-134.
24.French, K. R., G. W. Schwert, and R. E. Stambaugh, 1987, “Expected Stock Returns and Volitility.” Journal of Financial Economics 19, 3-29.
25.George, T. J., G. Kaul, and M. Nimalendran, 1991, “Estimation of the Bid-Ask Spread and its Components: a New Approach.” Review of Financial Studies 4, 623-656.
26.Giot, P., and S. Laurent, 2004, “Modelling Daily Value-at-Risk Using Realized Volatility and ARCH Type Models.” Journal of Empirical Finance 11, 379-398.
27.Glen, J., 1994, “An Introduction to the Microstructure of Emerging Markets.” International Finance Corporation discussion paper, Washington D. C.
28.Glosten, L., and L. Harris, 1988, “Estimating the Components of the Bid-Ask Spread.” Journal of Financial Economics 12, 123-142.
29.Glosten, L., and P. Milgrom, 1985, “Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders.” Journal of Financial Economics 14, 71-100.
30.Glosten, L., 1994, “Is the Electronic Open Limit Order Book Inevitable?” Journal of Finance 49, 1127-1161.
31.Hamao, Y., R. W. Masulis, and V. Ng, 1990, “Correlations in Price Changes and Volatility across International Stock Markets.” Review of Financial Studies 3, 281-307.
32.Handa, P., and R. Schwartz, 1996, “Limit Order Trading.” Journal of Finance 51, 1835-1861.
33.Hansen, L., 1982, “Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica 50, 1029-1054.
34.Hasbrouck, J., 1991a, “Measuring the Information Content of Stock Trades.” Journal of Finance 46, 179-207.
35.Hasbrouck, J., 1991b, “The Summary Informativeness of Stock Trades: An Econometric Analysis.” Review of Financial Studies 4, 571-595.
36.Hasbrouck, J., 1993, “Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement.” Review of Financial Studies 6, 191-212.
37.Hicks, J. R., 1967, “Critical Essays in Monetary Theory.” Clarendon Press.
38.Keynes, J. M., 1930, “Treatise on Money.” Harcourt, Brace and Company.
39.Kumar, R., A. Sarin, and K. Shastri, 1998, “The Impact of Options Trading on the Market Quality of the Underlying Security: An Empirical Analysis.” Journal of Finance 53, 717-732.
40.Kyle, A. S., 1985, “Continuous Auctions and Insider Trading.” Econometrica 53, 1315-1336.
41.Lee, C., B. Mucklow, and M. Ready, 1993, “Spreads, depth, and the impact of earnings information: an intraday analysis.” Review of Financial Studies 6, 345-347.
42.Lintner, J., 1965, “The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets.” Review of Economics and Statistics 47, 13-37.
43.Lyons, R. K., 1996, “Optimal Transparency in a Dealer Market with an Application to Foreign Exchange.” Journal of Financial Intermediation 5, 225-254.
44.Madhavan, A., 1996, “Security Prices and Market Transparency.” Journal of Financial Intermediation 5, 255-283.
45.Madhavan, A., D. Porter, and D. Weaver, 2005, “Should Securities Markets be Transparent?” Journal of Financial Markets 8, 265-287.
46.Martin, P., 1975, “Analysis of Impact of Competitive Rates on the Liquidity of NYSE Stocks.” Economics Staff Paper 75-3, Securities and Exchange Commission.
47.Massimb, M. N., and B. D. Phelps, 1994, “Electronic Trading, Market Structure and L iquidity.” Financial Analysts Journal 50, 39-50.
48.McInish, T. H. and R. A. Wood, 1992, “An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks.” Journal of Finance 47, 753-764.
49.Mundlak, Y., 1978, “On the Pooling of Time Series and Cross Section Data.” Econometrics 46, 69-85.
50.O’Hara, M., 1995, “Market Microstructure Theory.” Basil Blackwell Ltd.
51.Pagano, M., and A. Roell, 1996, “Transparency and Liquidity: A Comparison of Auction and Dealer Markets with Informed Trading.” Journal of Finance 51, 579-611.
52.Ranaldo, A., 2002, “Transaction costs on the Swiss stock exchange.” Financial Markets and Portfolio Management 16, 53-68.
53.Ranaldo, A., 2004, “Order Aggressiveness in Limit Order Book Markets.” Journal of Financial Markets 7, 53-74.
54.Sandas, P., 2001, “Adverse Selection and Competitive Market Making: Empirical Evidence from a Limit Order Market.” Review of Financial Studies 14, 705-734.
55.Seppi, D., 1997, “Liquidity provision with limit orders and a strategic specialist.” Review of Financial Studies 10, 103-150.
56.Sharpe, W. F., 1964, “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.” Journal of Finance 19, 341-360.
57.Stoll, H.R., 1978, “The Pricing of Security Dealer Services: An Empirical Study of Nasdaq Stocks.” Journal of Finance 33, 1153-1172.
中文部份
1.台灣證券交易所編輯出版,2007,「世界主要證券市場相關制度」。
2.段昌文,95年度國科會報告。
3.詹場、胡星陽,2001,「流動性衡量方法之綜合評論」,國家科學委員會研究彙刊:人文及社會科學,第十一卷第三期,pp.205-221。
4.黃寶慧、劉維琪,2002,「我國證券集中交易市場競價與揭示制度之改進」,證交資料,483期,pp.2-21。

網站部份
1.上海證券交易所,http://www.sse.com.cn/
2.台灣證券交易所,http://www.tse.com.tw/
3.全球證券交易所聯會,http://www.world-exchanges.org/WFE/home.Asp
4.東京證交所,http://www.tse.or.jp/
5.香港證交所,http://www.hkex.com.hk/
6.倫敦證交所,http://www.londonstockexchange.com/
7.紐約證交所,http://www.nyse.com/
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