English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 112721/143689 (78%)
Visitors : 49518169      Online Users : 751
RC Version 6.0 © 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: https://nccur.lib.nccu.edu.tw/handle/140.119/100621


    Title: 技術分析對台灣波動度及規模效果之影響
    Authors: 柯冠成;蘇湘茹;林信助;朱香蕙
    Contributors: 國貿系
    Date: 2016-07
    Issue Date: 2016-08-22 16:39:22 (UTC+8)
    Abstract: 本文探討在台灣股票市場以波動度及公司規模形成投資策略時,投資者是否可以透過技術分析中的移動平均指標,來獲取較高的異常報酬。實證結果發現,在波動度或公司規模投資組合中,使用移動平均策略之投資績效皆優於買入持有策略。此外,為了充分掌握波動度效果及公司規模效果的異常報酬,本文根據移動平均指標所發出的交易訊號,除了買入最高波動度(公司規模最小)的投資組合之外,並同時放空最低波動度(公司規模最大)的投資組合,形成一零成本的投資組合。結果不管是依波動度或公司規模所形成的投資組合,此一策略皆可獲取顯著為正的投資績效。即便在扣除交易成本後,其優越的績效表現依舊存在。透過穩健性檢定,發現不論是動能效果、總體經濟指標、市場狀態及市場擇時能力,皆無法完全解釋本研究依據移動平均指標建構交易策略所可獲取的超額報酬。In this study, we examine whether asset pricing anomalies caused by the volatility effect and the size effect exist in Taiwan’s stock market, and investigate whether investors can exploit abnormal returns therein by applying the popular moving-average technical trading rule. We construct investment portfolios based on firms’ return volatility or market capitalization, and apply the moving-average rule to determine the timing for buying these portfolios. Our empirical results demonstrate that, a combination of the moving-average buying indicator and the volatility (or size) effect do generate higher returns than the traditional buy-and-hold strategy, and the size of such abnormal return typically decreases with the length of the moving average rule employed. Furthermore, we propose a zero-cost investment strategy by buying the highest volatility (or smallest size) portfolio, and short-selling the lowest volatility (or largest size) portfolio based on the moving-average signals. The overall evidence suggests that such a zero-cost investment strategy generates significantly positive returns, and the results are not affected by the consideration of transaction costs. With robustness checks, we also show that such abnormal returns cannot be fully explained by the momentum effect, macroeconomic conditions, market states, or the market timing ability.
    本文探討在台灣股票市場以波動度及公司規模形成投資策略時,投資者是否可以透過技術分析中的移動平均指標,來獲取較高的異常報酬。實證結果發現,在波動度或公司規模投資組合中,使用移動平均策略之投資績效皆優於買入持有策略。此外,為了充分掌握波動度效果及公司規模效果的異常報酬,本文根據移動平均指標所發出的交易訊號,除了買入最高波動度(公司規模最小)的投資組合之外,並同時放空最低波動度(公司規模最大)的投資組合,形成一零成本的投資組合。結果不管是依波動度或公司規模所形成的投資組合,此一策略皆可獲取顯著為正的投資績效。即便在扣除交易成本後,其優越的績效表現依舊存在。透過穩健性檢定,發現不論是動能效果、總體經濟指標、市場狀態及市場擇時能力,皆無法完全解釋本研究依據移動平均指標建構交易策略所可獲取的超額報酬。
    Relation: 管理學報, Vol.33, No.2, pp.281-309
    Data Type: article
    DOI 連結: http://dx.doi.org/10.6504/JOM.2016.33.02.08
    DOI: 10.6504/JOM.2016.33.02.08
    Appears in Collections:[科技管理與智慧財產研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    410605.pdf1418KbAdobe PDF2572View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback