淡江大學機構典藏:Item 987654321/31665
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62822/95882 (66%)
Visitors : 4025659      Online Users : 972
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/987654321/31665


    Title: 營收市價比、成交量、動能與股票報酬:臺灣市場之進一步證據
    Other Titles: Sales-to-price, trading volume, momentum and stock returns : further evidence from the Taiwan market
    Authors: 郭怡君;Kuo, Yi-chun
    Contributors: 淡江大學財務金融學系碩士班
    林蒼祥;Lin, William. T.
    Keywords: 營收市價比;成交量;動能;股票報酬;台灣;Sales-to-Price;Trading Volume;Momentum;stock returns;Taiwan
    Date: 2008
    Issue Date: 2010-01-11 01:06:42 (UTC+8)
    Abstract: 本研究樣本為台灣證券交易所上市與中華民國櫃檯買賣中心上櫃之普通股股票月資料,主要探討股票平均報酬與公司規模、淨值市價比、成交量、營收市價比、前2至12月平均報酬及前7至12月平均報酬等六個變數之間的橫斷面關係。研究結果顯示,股票平均報酬與成交量之間呈現顯著的負向橫斷面關係,且與營收市價比及前7至12月平均報酬之間呈現顯著的正向橫斷面關係。然而平均報酬與其他三個變數之間的關係並不顯著或穩定。總而言之,成交量、營收市價比與前7至12月平均報酬等三個變數確實對平均報酬橫斷面變異有顯著的解釋能力,且此三變數與平均報酬間的顯著關係並不會因為其他變數加入模式中而受到影響。藉由敏感性分析,更進一步確認其結果的穩定性,並不會因為資料分割、期間分割而受到影響。至於各因子模式的評估比較結果發現,市場單因子模式並沒有充分捕捉到超額報酬的時間序列變異,而其他三因子模式或四因子模式則有捕捉到市場因子所遺留下來的股票超額變異。就解釋股票報酬橫斷面變異方面可發現,由市場、成交量與營收市價比所組成的三因子模式與市場、成交量、營收市價比與前7至12月平均報酬所組成的四因子模式似乎較能充分解釋台灣股票間橫斷面之變異。
    This study explores the cross sectional relationships between average stock returns and market value, book-to-price, trading volume, sales-to-price, average return over the previous 7 to 12 months and average return over the previous 2 to 12 months, on Taiwan Stock Exchange from January 1978 to December 2007. Our results show that average stock returns are significantly negatively related to trading volume, and significantly positively related to sales-to-price and average return over the previous 7 to 12 months. However, the relationships between average returns and remaining three variables are insignificant or unstable. Summarily, trading volume, sales-to-price, average return over the previous 7 to 12 months seem to have a joint role in explaining the differentials in average returns. The results of three variables model are robust and insensitive to sub-sample and sub-period. By comparison, we conclude that the market, volume and sales-to-price three factor model, and the market, volume, sales-to-price and momentum four factor model can fully explain the cross sectional variation in average returns.
    Appears in Collections:[Graduate Institute & Department of Banking and Finance] Thesis

    Files in This Item:

    File SizeFormat
    0KbUnknown325View/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