請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/101183完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 石百達 | zh_TW |
| dc.contributor.advisor | Pai-Ta Shih | en |
| dc.contributor.author | 林曜 | zh_TW |
| dc.contributor.author | Yao Lin | en |
| dc.date.accessioned | 2025-12-31T16:14:25Z | - |
| dc.date.available | 2026-01-01 | - |
| dc.date.copyright | 2025-12-31 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-12-05 | - |
| dc.identifier.citation | 參考文獻
Biais, B., Hillion, P., & Spatt, C. (1995). An empirical analysis of the limit order book and the order. flow in the Paris Bourse. The Journal of Finance, 50(5), 1655-1689. Bloomfield, R., O’hara, M., & Saar, G. (2005). The “make or take” decision in an electronic market: Evidence on the evolution of liquidity. Journal of Financial Economics, 75(1), 165-199. Brogaard, J., Hendershott, T., & Riordan, R. (2014). High-frequency trading and price discovery. The Review of Financial Studies, 27(8), 2267-2306. Çağlayan-Gümüş, A., & Karahan, C. C. (2024). Information content of the limit order book: A cross-sectional analysis in Borsa Istanbul. Global Finance Journal, 62, 101020. Cao, C., Hansch, O., & Wang, X. (2008). Order placement strategies in a pure limit order book market. Journal of Financial Research, 31(2), 113-140. Cao, C., Hansch, O., & Wang, X. (2009). The information content of an open limit‐order book. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 29(1), 16-41. Chordia, T., Roll, R., & Subrahmanyam, A. (2005). Evidence on the speed of convergence to market efficiency. Journal of Financial Economics, 76(2), 271-292. Do, B. L., & Putniņš, T. J. (2023). Detecting layering and spoofing in markets. Available at SSRN 4525036. Foucault, T. (1999). Order flow composition and trading costs in a dynamic limit order market. Journal of Financial Markets, 2(2), 99-134. Franus, T. (2024). Essays on Trading and Manipulation in Financial Markets. Unpublished Doctoral thesis, City, University of London) This is the accepted version of the paper. This version of the publication may differ from the final published version. Glosten, L. R. (1994). Is the electronic open limit order book inevitable?. The Journal of Finance, 49(4), 1127-1161. Griffiths, M. D., Smith, B. F., Turnbull, D. A. S., & White, R. W. (2000). The costs and determinants of order aggressiveness. Journal of Financial Economics, 56(1), 65-88. Harris, L. E., & Panchapagesan, V. (2005). The information content of the limit order book: evidence from NYSE specialist trading decisions. Journal of Financial Markets, 8(1), 25-67. Hasbrouck, J. (1995). One security, many markets: Determining the contributions to price discovery. The Journal of Finance, 50(4), 1175-1199. Hasbrouck, J. (2003). Intraday price formation in US equity index markets. The Journal of Finance, 58(6), 2375-2400. Hollifield, B., Miller, R. A., & Sandås, P. (2004). Empirical analysis of limit order markets. The Review of Economic Studies, 71(4), 1027-1063. Kaniel, R., & Liu, H. (2006). So what orders do informed traders use?. The Journal of Business, 79(4), 1867-1913. Li, D., & Xia, Y. (2021). Gauging the effects of stock liquidity on earnings management: evidence from the SEC tick size pilot test. Journal of Corporate Finance, 67, 101904. Llorente, G., Michaely, R., Saar, G., & Wang, J. (2002). Dynamic volume-return relation of individual stocks. The Review of Financial Studies, 15(4), 1005-1047. Parlour, C. A. (1998). Price dynamics in limit order markets. The Review of Financial Studies, 11(4), 789-816. Ranaldo, A. (2004). Order aggressiveness in limit order book markets. Journal of Financial Markets, 7(1), 53-74. Rock, K. (1996). The specialist’s order book and price anomalies. Review of Financial Studies, 9, 1-20. Seppi, D. J. (1997). Liquidity provision with limit orders and a strategic. specialist. The Review of Financial Studies, 10(1), 103-150. Wang, X., Hoang, C., Vorobeychik, Y., & Wellman, M. P. (2021). Spoofing the limit. order book: A strategic agent-based analysis. Games, 12(2), 46. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/101183 | - |
| dc.description.abstract | 本研究利用台灣證券交易所的高頻數據,評估委託簿中的限價單資訊內容,特別對最佳買賣報價之後的二至五檔限價委託所含的增量資訊尤為感興趣。結果顯示,後段委託簿對價格發現的貢獻約為30%,其餘70%來自最佳買賣報價和成交價格。此外,透過計算委託簿的高度和深度不平衡,以及不同平均成交量倍數對價格的衝擊,發現委託簿的供需不平衡與未來短期報酬顯著相關。最後,本文進一步依成交活躍度、Relative Tick Size與波動度等橫截面特徵對樣本股票進行分組,檢驗委託簿資訊預測力是否存在系統性差異,結果顯示分組結果一致且差異顯著,凸顯委託簿資訊結構與股票特性密切相關。 | zh_TW |
| dc.description.abstract | This study utilizes high-frequency data from the Taiwan Stock Exchange to evaluate the informational content embedded in limit order books, with particular emphasis on the incremental information contained in the second to fifth levels beyond the best bid and ask quotes. The results show that these deeper levels contribute approximately 30% to price discovery, while the remaining 70% is attributed to the best quotes and executed prices. Furthermore, by constructing measures of order book height and depth imbalance, and incorporating volume multiples to account for trade impact, we find that supply-demand asymmetry in the order book is significantly associated with short-term future returns. Lastly, we group sample stocks based on cross-sectional characteristics including volatility, relative tick size, and trading activity, to examine whether the predictive power of order book information varies systematically. The results indicate consistent and significant differences across groups, highlighting a strong relationship between the structure of order book information and stock-specific attributes. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-12-31T16:14:25Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-12-31T16:14:25Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 目次
口試委員會審定書 I 中文摘要 II ABSTRACT III 目次 IV 圖次 VI 表次 VII 第一章 緒論 1 第一節 委託簿機制 1 第二節 研究動機與目的 3 第三節 論文架構 4 第二章 文獻回顧 5 第三章 資料 7 第一節 資料來源與敘述性統計 7 第二節 委託簿形狀變數定義 9 第三節 數據分析結果 10 第四章 資訊貢獻的衡量 12 第一節 資訊貢獻的衡量方法 12 第二節 資訊貢獻實證結果 14 第五章 驗證委託簿不平衡資訊對短期報酬的預測力 15 第一節 驗證不平衡資訊對短期報酬的預測力方法 15 第二節 驗證不平衡資訊對短期報酬的預測力實證結果分析 21 第三節 股票橫截面特徵對委託簿資訊所影響 27 第六章 結論與建議 38 參考文獻 40 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 委託簿 | - |
| dc.subject | 短期報酬預測 | - |
| dc.subject | 不平衡指標 | - |
| dc.subject | 資訊性 | - |
| dc.subject | 股票特性異質性 | - |
| dc.subject | Limit Order Book | - |
| dc.subject | Short-Term Return Prediction | - |
| dc.subject | Order Book Imbalance | - |
| dc.subject | Informational Content | - |
| dc.subject | Stock Heterogeneity | - |
| dc.title | 高頻限價委託簿資訊性研究:以台灣股市五檔為例 | zh_TW |
| dc.title | Informational Content of High-Frequency Limit Order Books: Evidence from the Top Five Quotes in the Taiwan Stock Market | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 114-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 匡顯吉;盧家琪;朱民苪 | zh_TW |
| dc.contributor.oralexamcommittee | Xian-Ji Kuang;Chia-Chi Lu;Min-Rui Choo | en |
| dc.subject.keyword | 委託簿,短期報酬預測不平衡指標資訊性股票特性異質性 | zh_TW |
| dc.subject.keyword | Limit Order Book,Short-Term Return PredictionOrder Book ImbalanceInformational ContentStock Heterogeneity | en |
| dc.relation.page | 41 | - |
| dc.identifier.doi | 10.6342/NTU202504709 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2025-12-05 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 財務金融學系 | - |
| dc.date.embargo-lift | N/A | - |
| 顯示於系所單位: | 財務金融學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-114-1.pdf 未授權公開取用 | 2.66 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
