中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/12183
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78852/78852 (100%)
Visitors : 37828737      Online Users : 392
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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: http://ir.lib.ncu.edu.tw/handle/987654321/12183


    Title: 從日、美看台灣股市的資產定價實證研究;The Empirical Research of Asset Pricing in Taiwan Stock Market from Japan and US
    Authors: 蔡依恬;I-Tien Tsai
    Contributors: 財務金融研究所
    Keywords: 隨機抽樣;配對抽樣;因子模式;條件模型;paired sample;factor model;random sample;conditional model
    Date: 2007-07-03
    Issue Date: 2009-09-22 14:41:27 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本文選用兩種抽樣方法: 以公司規模和權益市值比為基準衡量的配對抽樣以及隨機抽樣,並以台股為兩兩比較的基準,重新選取日股以及美股,再以兩階段模型、四因子模型和兩種條件模型比較。 由配對抽樣的結果發現,除了公司規模和權益市值比之外,還有其他的因素造成了日、美、台三國股市的差異。另外,以隨機抽樣的結果發現,台股的某些市場特性並不是因為樣本數較少而造成,這些特性是確實存在於台灣股市的。 We use paired sample on the basic of size and book-to-market equity and random sample to choose Japanese and US stocks to compare with Taiwanese stocks individually. We find that other reasons that influence stock returns in addition to size and book-to-market equity. Besides, we also find that some characteristics of Taiwan stock market exist certainly, and this characteristics are not fewer samples in the market.
    Appears in Collections:[Graduate Institute of Finance] Electronic Thesis & Dissertation

    Files in This Item:

    File SizeFormat


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明