English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21651602      Online Users : 300
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
    ASIA unversity > 管理學院 > 財務金融學系 > 期刊論文 >  Item 310904400/108386


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/108386


    Title: Moving Average Timing Strategy from a Volatility Perspective: Evidence of the Taiwan Stock Market
    Authors: 臧仕維;TZANG,SHYH-WEIR;蔡永順;Yung-shun Tsai;張俊評;Jun-Pin Chang
    Contributors: 財務金融學系
    Date: 2017-07
    Issue Date: 2017-12-08 06:07:07 (UTC+0)
    Abstract: We apply the approach of [5] by examining whether the portfolios based on the trend-following strategy delivers abnormal returns. Sorted by volatility in previous year, portfolios are traded by following moving average timing strategy to examine their investment performance within the sample period from 1996–2011 for companies listed in the Taiwan stock market. We find that the moving average timing strategy outperforms the buy-and-hold strategy. The CAPM and the Fama-French three-factor models can explain the abnormal returns of the moving average timing strategy. Furthermore, the performance 10-day moving average timing strategy outperforms other timing strategies based on 20-, 50-, 100- and 200-day moving average across volatility quintiles. That means higher volatility quintile portfolios with 10-day moving average timing strategy tend to have better performance than those portfolios with longer days of moving average timing strategy.
    Appears in Collections:[財務金融學系] 期刊論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML444View/Open


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


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