淡江大學機構典藏:Item 987654321/92937
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62805/95882 (66%)
造訪人次 : 3990557      線上人數 : 587
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/92937


    題名: Investors’ Herd Behavior: Rational or Irrational?
    作者: Lin, William T.;Tsai, Shih-Chuan;Lung, Pei-Yau
    貢獻者: 淡江大學財務金融學系
    關鍵詞: Trading noise;Herding;Institutional investors;Individual investors;Intraday transactions
    日期: 2013-10-16
    上傳時間: 2013-10-24 09:14:00 (UTC+8)
    出版者: Chichester: Wiley-Blackwell Publishing Ltd.
    摘要: This study examines the relationships between the herding of various investor groups and trading noise in the Taiwan stock market to determine whether any of the investor groups tend to herd rationally. The study uses a unique and comprehensive data set on intraday transactions and limit order books of the Taiwan Stock Exchange (TWSE). We calculate the high-frequency herding measures and trading noise in a call auction market. We find that institutional investors are likely to be informed traders and herd rationally based on superior information. Institutional investors' herding has a negative impact on trading noise. Their buy (sell) herding predicts positive (negative) future market returns. By contrast, the herding of individual investors tends to contain limited information, as it increases trading noise; the buy (sell) herding of individuals is negatively correlated with future market returns. These findings are more significant for stocks with higher turnover.
    關聯: Asia-Pacific Journal of Financial Studies 42(5), pp.755–776
    DOI: 10.1111/ajfs.12030
    顯示於類別:[財務金融學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML94檢視/開啟
    全文.pdf155KbAdobe PDF121檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋