English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21689987      Online Users : 410
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 > 經營管理學系  > 博碩士論文 >  Item 310904400/92134


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/92134


    Title: Adaptive Asset Allocation: Empirical Evidence of Taiwan TOP 50 ETF、Taiwan Mid-Cap 100 ETF
    Authors: Tsai, Ming- Lin
    Contributors: 財務金融學系碩士在職專班
    Keywords: Asset Allocation;Momentum;choosing Volatility;Excess returns
    Date: 2015
    Issue Date: 2015-10-15 06:52:58 (UTC+0)
    Publisher: 亞洲大學
    Abstract: The research applies the adaptive investing strategies of David Varadi (2013) to the Taiwan stock market. Four weighting methods, which are equal weighting, volatility weighting, momentum weighting, and volatility combined with momentum weighting, are adopted to construct portfolios in comparison with the benchmark indices of Taiwan Top 50 and 100 ETF. Empirical results are as follows: 1) constructed portfolios from Taiwan Top 50 ETF based on volatility combined with momentum weighting have the best performance among all weighting schemes. The annual rate of return is 11.74% with a Sharpe ratio of 0.68; 2) constructed portfolios from Taiwan Top 100 ETF based on volatility combined with momentum weighting have the best performance among all weighting schemes. The annual rate of return is 10.22% with a Sharpe ratio of 0.51.
    Appears in Collections:[經營管理學系 ] 博碩士論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML539View/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