English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21651710      Online Users : 395
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: http://asiair.asia.edu.tw/ir/handle/310904400/2922


    Title: Performance Evaluation of Taiwan Hi-Tech Mutual Funds?An Application of Value-at-Risk
    Authors: Lo Chien-Jung
    Contributors: Department of International Business
    Keywords: Hi-Tech mutual funds;VaR;return;Sharpe inde
    Date: 2004
    Issue Date: 2009-11-16 11:33:21 (UTC+0)
    Publisher: Asia University
    Abstract: The measurement of investment performance has always been a main concern for managers and investors. While the profit and loss of investment could be clearly seen, the performance of investment fund is not easily determined due to a key factor that people have different acknowledgement toward risk. In most cases, Sharpe index is widely used by investors. Most performance indices assume that returns follow normal distribution. When return distribution is not normally distributed, the index will not be theoretically correct. This paper tests the normal distribution assumption for Taiwan Hi-Tech mutual funds, we find return of our sample mutual funds in sample period follow the normal distribution, so an application of traditional performance index is not inappropriate. This paper includes an application of Value-at-Risk to the performance evaluation of Taiwan Hi-Tech mutual funds and we reach the following conclusions:
    1. When return is a positive, VaR-based performance index is indeed effective in evaluating the mutual funds performance. When return is negative, the index will become biased.
    2. Substituting benchmark relative market return for risk-less return and benchmark relative market VaR for original market VaR can compare funds? performance in different markets.
    3. To test performance index correlation, our test results display high positive correlation.
    4. In back testing, delta-normal approach performs better than historical simulation approach, but it still shows model risk.
    Appears in Collections:[國際企業學系] 博碩士論文

    Files in This Item:

    File SizeFormat
    0KbUnknown538View/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