Skip navigation

DSpace JSPUI

DSpace preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets

Learn More
DSpace logo
English
中文
  • Browse
    • Communities
      & Collections
    • Publication Year
    • Author
    • Title
    • Subject
  • Search TDR
  • Rights Q&A
    • My Page
    • Receive email
      updates
    • Edit Profile
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/39004
Title: NASDAQ新低投機型個股之日內報酬-買賣單不對稱關係
Intraday Return-Order Imbalance Relation in NASDAQ Speculative New Lows
Authors: Fu-Yin Lee
李馥吟
Advisor: 蘇永成
Keyword: 價量關係,買賣單不對稱,資訊不對稱,
information asymmetry,price-volume relation,order imbalance,
Publication Year : 2005
Degree: 碩士
Abstract: 依據之前的研究,我們知道日買賣單不對稱對股價報酬率有顯著的解釋能力。然而我們認為,日內買賣單不對稱對於股價報酬率應有更好的解釋效果,因為日內資料所帶來的應是最新的市場資訊,對於股價報酬率的影響力應該較過去的日買賣單不對稱更強。因此於本研究中,我們採用日內資料做為樣本。
利用GARCH(1,1)、與時間序列複迴歸模型,我們發現在日內買賣單不對稱與股價報酬率間,確實存在著同期效果,亦即同期之日內買賣單不對稱對於股價報酬率有良好的解釋能力。然而,我們卻無法於其中發現預測能力,亦即前一期之日內買賣單不對稱對於當期股價報酬率並無顯著之預測能力,此結果與我們的預期不相符合。
最後,我們建構一簡單迴歸模型來偵測小型股效果。迴歸結果顯示,資本額愈小的公司,其同期日內買賣單不對稱對於股價報酬率的影響力愈大,表示確實存在著小型股效果。
By former researches we learn that daily order imbalance has significant explanatory power to daily return. And we think that intraday order imbalance is more useful information to investors because it may contain the latest market information and will have greater influence to stock price than those of previous transaction days. Thus we adopt intraday data in our research, to investigate the relation between intraday return and order imbalance.
In this research we try to see if intraday order imbalance has explanatory power to return. By using dynamic time and sale data in GARCH(1,1) model and by 90-second data in time-series regression models, we find out that there is significant contemporaneous effect, that is, the contemporaneous order imbalance has explanatory power to return, both in dynamic and 90-second time and sale data. On the other hand, we do not see significant predictability in lag-one period order imbalance to return, that is, the lag-one period order imbalance does not show predictability to contemporaneous return.
At last, we build a cross-sectional regression model to test the small-firm effect. We found out that there is small-firm effect. It means that the smaller the firm’s capital expenditure, the greater the influence of order imbalance to its stock return.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/39004
Fulltext Rights: 有償授權
Appears in Collections:財務金融學系

Files in This Item:
File SizeFormat 
ntu-94-1.pdf
  Restricted Access
389.68 kBAdobe PDF
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved