中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/80782
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 80990/80990 (100%)
Visitors : 42803977      Online Users : 1073
RC Version 7.0 © 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://ir.lib.ncu.edu.tw/handle/987654321/80782


    Title: 預測熊市的總體經濟聯合指標;Aligned Macroeconomic Index for Forecasting the Bear Markets
    Authors: 梁可靖;Ko-Chin
    Contributors: 財務金融學系
    Keywords: 總體經濟;熊市;Macroeconomic;PLS;Bear Markets
    Date: 2019-07-25
    Issue Date: 2019-09-03 15:08:09 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 我們透過 PLS 方法建構總體經濟聯合指標,並成為一強大的熊市預測指標。藉由將馬可夫轉換模型應用於美國標普五百指數報酬率上,我們可以辨識出熊市期間與該期間對應之熊市機率。不論在樣本內或樣本外的檢定,總體經濟聯合指標在預測熊市機率都統計上顯著優於其他指標,包含投資人情緒指標以及其他二十五個總體經濟指標。此外,將 PLS 應用在不同市場指標時,此方法仍可以維持其預測能力。;We use the PLS method to construct an aligned macroeconomic index, which is powerful in forecasting the bear markets. By using the Markov-switching model to return of the S&P 500 index, we identify the bear market and obtain the probability of each period. No matter in- and out-of-sample test, this index statistically outperforms twenty-five macroeconomic variables and the investor sentiment index in prediction bear markets. What is more, this method also could be applied to different market indicators, and the results remain robust.
    Appears in Collections:[Graduate Institute of Finance] Electronic Thesis & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML318View/Open


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

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明