English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64198/96992 (66%)
Visitors : 7992850      Online Users : 2592
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/58393


    Title: Can Investors Profit from the Stock Recommendations on the Journalism? Testing Conditional Heteroscedasticity in the Market Model
    Authors: Lin, Chien-Chih;Lin, Feng-Teng;Wang, Yi-Hsien
    Contributors: 淡江大學財務金融學系
    Keywords: GARCH;Recommendatory Stock;Abnormal Return;Event Study
    Date: 2009-11
    Issue Date: 2011-10-01 00:09:04 (UTC+8)
    Publisher: Seychelles: EuroJournals Publishing Inc.
    Abstract: This study employs an event study using the market model with conditional heteroscedasticity to investigate the effects of media recommendations on the performance of electronics companies listed on the Taiwan Stock Market. The empirical results confirm that investors obtain significantly abnormal returns following different types of information around the announcement date when the news is released. These analytical results provide evidence that the stock market information is frequently leaked in advance of the announcement date and the investors generally adopt a conservative strategy following the release of information regarding a recommended stock.
    Relation: International Research Journal of Finance and Economics 33, pp.111-119
    Appears in Collections:[財務金融學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1450-2887_33p111-119.pdf128KbAdobe PDF313View/Open
    index.html0KbHTML218View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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