English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113318/144297 (79%)
Visitors : 50998407      Online Users : 397
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
    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/76431
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76431


    Title: 金融海嘯及海嘯後之台美匯率預測
    Exchange rate forecasting during and after the financial crisis in Taiwan
    Authors: 謝仲
    Hsieh, Chung
    Contributors: 林建秀
    謝仲
    Hsieh, Chung
    Keywords: 匯率
    泰勒法則模型
    樣本外預測
    台美匯率
    exchange rate
    Taylor rule models
    out-of-sample
    USD/NTD
    Date: 2015
    Issue Date: 2015-07-13 11:08:57 (UTC+8)
    Abstract: 本篇論文使用out-of-sample之匯率預測方法,並使用泰勒法則模型及基礎模型,來比較各模型的預測能力,樣本為金融海嘯期間2007/4-2012/6之台美匯率及金融海嘯後2012/7-2014/8之台美匯率,為了更有效捕捉台美政府的政策變動,我們將失業率缺口也加入模型中,但研究結果發現泰勒法則模型仍較適用產出缺口,使用產出缺口的模型較能打敗隨機預測模型在金融海嘯期間以及金融海嘯後期間。而Taylor rule fundamental models在金融海嘯期間表現較好,Taylor rule differential models則在金融海嘯後期間表現較好,除此之外,購買力平價模型也有相當好的表現。
    This thesis evaluates out-of-sample exchange rate predictability of Taylor rule models and fundamental models, such as Purchasing Power Parity models, monetary models and interest rate differential models, using the USD/NTD exchange rate with real-time data during, and after the financial crisis. To capture the policy of the central bank’s policies, we use the output or the unemployment gap in Taylor rule models. While Taylor rule models with output gap outperformed the random walk model during and after financial crisis, Taylor rule models with unemployment gap rarely beat the random walk model. Purchasing Power Parity model’s predictability was also better than the random walk model during and after financial crisis. The performance of Taylor rule fundamental models was better during the financial crisis and the performance of Taylor rule differential models was better after the financial crisis.
    Reference: 1. Blinder, Alan S. and Ricardo Reis (2005), “Understanding the Greenspan Standard”, The Greenspan Era: Lessons for the Future, Federal Reserve Bank of Kansas City, 2005, pp. 11-96.
    2. Chinn, Menzie D. (2006), “A Primer on Real Effective Exchange Rates: Determinants, Overvaluation, Trade Flows and Competitive Devaluation”, Open economies review 17.pp. 115–143.
    3. Campbell, John Y., and Thompson, Samuel B. (2008), “Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?” , Review of Financial Studies. 21(4).pp. 1509-1531..
    4. Clark, Todd E., and West, Kenneth D. (2006), “Approximately normal tests for equal predictive accuracy in nested models”, NBER Technical Working Paper No. 326.
    5. Clark, Todd E., and West Kenneth D. (2006), “Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis”, Journal of Econometrics 135, pp. 155-186.
    6. Diebold, Francis X. , and Mariano ,Roberto S. (1995), “Comparing Predictive Accuracy”, Journal of Business and Economic Statistics 13, pp. 253-265.
    7. Diebold, Francis X. (2013), “Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold-Mariano Tests”, Journal of Business and Economic Statistics, Published online: 26 Jan 2015
    8. Engel, Charles, Nelson C. Mark, and Kenneth D. West (2008), “Exchange Rate Models Are Not as Bad as You Think”, NBER Macroeconomics Annual 2007, University of Chicago Press, pp. 381-441
    9. Mark, Nelson (1995), “Exchange Rate and Fundamentals: Evidence on Long-Horizon Predictability”, American Economic Review 85, pp. 201-218.
    10. Meese, Richard A. and Kenneth Rogoff (1983), “Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample?”, Journal of International Economics 14, pp.3-24.
    11. Molodtsova, Tanya, and David H. Papell, David (2009),”Exchange Rate Predictability with Taylor Rule Fundamentals”, Journal of International Economics 77, pp.167-180.
    12. Molodtsova, Tanya, and David H. Papell (2012), “Taylor Rule Exchange Rate Forecasting During The Financial Crisis”, NBER Working Paper No. 18330.
    13. Nikolsko-Rzhevskyy, Alex, and Papell, David H. (2012), “Taylor’s Rule versus Taylor Rules”, International Finance Volume 16, Issue 1, pp. 71–93.
    14. Pasquale Della Corte, and Ilias Tsiakas (2012), “Statistical and Economic Methods for Evaluating Exchange Rate Predictability”, Handbook of exchange rates 2012.
    15. Rudebusch, Glenn (2010), “The Fed’s Exit Strategy for Monetary Policy”, Federal Reserve Bank of San Francisco Economic Letter 18, pp. 1-5.
    16. Taylor, John B. (1993), “Discretion versus policy rules in practice”, Carnegie-Rochester conference series on public policy 39, pp. 195-214.
    17. Woodford, Michael (2001), “The Taylor Rule and Optimal Monetary Policy”, The American Economic Review. pp. 232-237.
    18. Welch, Ivo and Goyal, Amit (2008), “A Comprehensive Look at The Empirical Performance of Equity Premium Prediction”. Review of Financial Studies. 21(4).pp. 1455-1508.
    Description: 碩士
    國立政治大學
    金融研究所
    102352029
    103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102352029
    Data Type: thesis
    Appears in Collections:[金融學系] 學位論文

    Files in This Item:

    File SizeFormat
    202901.pdf896KbAdobe PDF271View/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