English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109948/140897 (78%)
Visitors : 46091998      Online Users : 1308
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/140.119/35121


    Title: 結合策略應用在亞洲股市獲利性之研究
    The Profitability of Combined Strategies in the Asian Stock Markets
    Authors: 黃友琪
    Huang, Yu-Chi
    Contributors: 郭維裕
    Kuo, Weiyu
    黃友琪
    Huang, Yu-Chi
    Keywords: 技術分析
    時間序列模型
    非同步交易
    Technical Trading Rules
    Time Series Models
    Non-synchronous Trading
    Date: 2006
    Issue Date: 2009-09-18 14:12:48 (UTC+8)
    Abstract: 參考Fang 2003年研究方法架構,我們檢驗了結合策略(結合技術分析法則和時間序列模型)應用在六個亞洲股票市場。由於技術分析法則和時間序列模型皆可利用過去歷史資訊來預測報酬,所以結合策略的實證結果優於技術分析法則和時間序列模型。此篇中超額報酬的計算是與買進持有相比較下未考慮交易成本的超額報酬。實證結果顯示,結合策略在完整樣本中可以成功的預測資產報酬,在六個國家的平均上,結合策略的超額報酬為0.19%優於技術交易法則下的0.13%和時間序列模型下的0.17%。並且,發現在新興國家如台灣、泰國、馬來西亞和南韓的預測能力比在已開發國家市場如香港和日本還要來的好。預測能力可被低階的自我相關係數解釋。除此之外,發現我們的預測能力受到非同步交易的影響。非同步交易所造成的衡量誤差使得超額報酬下降,但是我們的預測能力還是存在的。
    Following Fang and Xu (2003), we examine trading strategies combining technical trading rules and times series forecasts on six Asian stock markets. Since both technical trading rules and time series models can exploit predictable components as function of past prices or returns, the combined strategies outperform both technical trading rules and time series forecasts. The excess returns before transaction costs for each rule and country are compared to a passive buy-and-hold strategy. The combined strategies are quite successful in predicting asset returns in full samples. On average the buy-sell returns for combined strategies are 0.19% much higher than 0.13% for technical trading rules and 0.17% for time series models. Besides, we also find that all three rules have more explanatory power in emerging markets such as Taiwan, Thailand, Malaysia and Korea than more developed markets such as Japan and Hong Kong. The predictability can be explained by significant low-order autocorrelations in returns. Moreover, excess returns (pre-trading costs) for both time series models and combined strategies can be partially attributed to the measurement errors arising from non-synchronous trading. The non-synchronous trading bias reduces but does not eliminate the predictive power of combined strategies.
    Reference: 1. Bessembinderk, H., & Chan, K. (1995). The profitability
    of technical trading rules in the Asian stock markets.
    Pacific-Basin Finance Journal, 3, 257-284.
    2. Bessembinderk, H., & Chan, K. (1998). Market efficiency
    and the returns to technical analysis. Financial
    Management, 27, 5-17.
    3. Brock, W., Lakonishok, J., & Lebaron, B. (1992). Simple
    technical trading rules and the stochastic properties of
    stock returns. The Journal of Finance, 47, 1731-1764.
    4. Chan, L., Jegadeesh, N., & Lakonishok, J. (1996).
    Momentum Strategies. The journal of finance, 51, 1681-
    1713.
    5. Fama, E. (1970). Efficient capital markets: A review of
    theory and empirical work. The Journal of Finance,
    25, 383-417.
    6. Fang, Y., & Xu, D. (2003). The predictability of asset
    returns: an approach combing technical analysis and
    time series forecasts. International of Forecasting, 19,
    369-385.
    7. Harvey, C. (1995a). The cross-section of volatility and
    autocorrelation in emerging markets. Finanzmarkt and
    Portfolio Management, 9, 12-34.
    8. Mitchell, R., & Ricardo, L. (1999). Tests of technical
    trading strategies in the emerging equity markets of
    Latin America and Asia. Journal of Banking & Fianace,
    23, 1887-1905.
    9. Lo, A., & MacKinlay, C. (1990). An econometric analysis
    of nonsynchronous-trading. Journal of Econometrics, 45,
    181-212.
    Description: 碩士
    國立政治大學
    國際經營與貿易研究所
    94351008
    95
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0094351008
    Data Type: thesis
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

    Files in This Item:

    File Description SizeFormat
    100801.pdf44KbAdobe PDF2664View/Open
    100802.pdf66KbAdobe PDF2722View/Open
    100803.pdf13KbAdobe PDF2645View/Open
    100804.pdf12KbAdobe PDF2589View/Open
    100806.pdf19KbAdobe PDF2760View/Open
    100807.pdf67KbAdobe PDF2853View/Open
    100808.pdf52KbAdobe PDF2844View/Open
    100809.pdf16KbAdobe PDF2687View/Open
    100810.pdf14KbAdobe PDF2801View/Open
    100811.pdf99KbAdobe PDF2728View/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