English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110934/141854 (78%)
Visitors : 47820858      Online Users : 707
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/140.119/130910


    Title: 是否有比歷史平均法更有效預測股票市場溢酬的方法?-以美國市場為例
    Is there a way to predict the stock market risk premium better than historical average? Evidence from the US market stock market
    Authors: 邱芝螢
    Chiu, Jhih-Ying
    Contributors: 顏佑銘
    Yen, Yu-Min
    邱芝螢
    Chiu, Jhih-Ying
    Keywords: 股票市場溢酬
    樣本外測試
    模型平均法
    Stock market premium
    Out of sample test
    Model averaging
    Date: 2020
    Issue Date: 2020-08-03 17:23:41 (UTC+8)
    Abstract: 本研究乃運用Welch and Goyal(2008)所提出的1945年至2018年的十二項經濟變數資料去預測股票市場溢酬。首先重新檢驗單一變數的樣本內測試(in-sample test)及樣本外測試(out-of-sample test)的結果,接著透過組合變數模型估計,最後再以模型平均法(Model Averaging)建構新的模型。希望藉由新的建構模型方法,比較不同預測模型的預測能力。實證結果發現,以上所建構的模型,皆無法打敗歷史平均法(historical average method)。
    In this paper, I use the twelve economic variables of Welch and Goyal (2008) to predict the stock market premium. First of all, I reexamine the in-sample and out-of-sample test. After that, I establish the combination variable to predict the stock market. Finally, I use the model averaging to establish new models. Empirical results display that, the whole models fail to beat the historical average.
    Reference: 中文參考文獻

    1.陳旭昇(2009),"時間序列-總體經濟與財務金融與財務金融之應用”,台北:東華書局


    英文參考文獻

    1.Ang, Andrew Bekaert, Geert. (2007) “Stock return predictability: Is it there? “, Review of Financial Studies, 651-707
    2.Baetje, FabianMenkhoff, Lukas.(2016) “Equity premium prediction: Are economic and technical indicators unstable?”, International Journal of Forecasting, 1193-1207
    3.Campbell, John Y.Thompson, Samuel B.( 2008) “Predicting excess stock returns out of sample: Can anything beat the historical average? ”, Review of Financial Studies, 1509-1531
    4.Cenesizoglu, Tolga Timmermann, Allan (2012) “Do return prediction models add economic value?”, Journal of Banking and Finance, 2974-2987
    5.Cochrane, John H.(2008) “The dog that did not bark: A defense of return predictability”, Review of Financial Studies, 1533-1575
    6.Cremers, K. J.Martijn (2002) “Stock Return Predictability: A Bayesian Model Selection Perspective”, Review of Financial Studies, 1223-1249
    7.Hjalmarsson, Erik (2010) “Predicting global stock returns”, Journal of Financial and Quantitative Analysis, 49-80
    8.Li, Jiahan Tsiakas, Ilias (2017) “Equity premium prediction: The role of economic and statistical constraints”, Journal of Financial Markets, 56-75
    9.Neely, Christopher J. Rapach, David E. Tu, Jun Zhou, Guofu (2014) “Forecasting the equity risk premium: The role of technical indicators”, Management Science, 1772-1791
    10.Pettenuzzo, Davide Timmermann, Allan Valkanov, Rossen (2014) “Forecasting stock returns under economic constraints” , Journal of Financial Economics, 517-553
    11.Paye, Bradley S. Timmermann, Allan (2006) “Instability of return prediction models”, Journal of Empirical Finance, 274-315
    12.Rapach, David E. Strauss, Jack K. Zhou, Guofu (2010) “Out-of-sample equity premium prediction: Combination forecasts and links to the real economy”, Review of Financial Studies, 821-862
    13.Welch, Goyal (2008) “A Comprehensive Look at The Empirical Performance of Equity Premium Prediction”, The Review of Financial Studies, 1455-1508
    Description: 碩士
    國立政治大學
    國際經營與貿易學系
    107351023
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107351023
    Data Type: thesis
    DOI: 10.6814/NCCU202001021
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

    Files in This Item:

    File Description SizeFormat
    102301.pdf1292KbAdobe PDF20View/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