English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109953/140892 (78%)
Visitors : 46227886      Online Users : 542
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 140.119/49011
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/49011


    Title: 波動度預測與波動度交易—以台灣選擇權市場為實證
    Forecasting volatility and volatility trading—evidence from Taiwan options market
    Authors: 林政聲
    Contributors: 廖四郎
    林政聲
    Keywords: 波動度預測
    波動度交易
    GARCH
    隱含波動度
    選擇權與期貨組合
    跨式策略
    勒式策略
    Date: 2009
    Issue Date: 2010-12-08 01:56:56 (UTC+8)
    Abstract: 本研究主要探討幾個廣受市場投資人所使用的波動度預測模型,如歷史波動度法、指數加權移動平均法、GARCH、EGARCH以及隱含波度,另外再考慮近年才被學者提出的RLS模型與A-RLS模型,一同比較它們對於台灣市場波動度的預估能力,並擇一最優者,作為從事波動度交易的訊號依據。本文在進行波動度交易之實證,主要是利用選擇權與期貨組合、選擇權與delta期貨組合、跨式交易策略與勒式交易策略等四種廣為波動度交易者使用之波動度交易策略,進而比較它們在樣本外的交易績效。本波動度預測的實證發現,樣本內的預測能力,是以GARCH和RLS模型最佳,而樣本外的預估能力,則是GARCH表現最好。另外,波動度交易的驗證結果顯示,若持有至次一交易日即平倉,勒式交易策略於買進波動度時會有最高的績效,而當放空波動度時,則是跨式交易策略會有最佳的表現。
    Reference: 英文部分
    [1] Alexander, C. (2008). “Pricing, Hedging, and Financial Instruments”, Market Risk Analysis,Vol. 3, John Wiley & Sons, Inc. .
    [2] Alexander, C. (2001). “Principles of the Skew”, Equity Risk Special Report, Jan. 2001, 14-17.
    [3] Bartels, H.J. and Lu, J. (1998). “Volatility Forecasting and Delta-Neural Volatility Trading for DTB Options on the DAX”.
    [4] Bollerslev, T. (1986). “Generalized Autoregressive Conditional Heteroskedasticity”, Journal of Financial Econometrics, 1981, 307-327.
    [5] Bollerslev, T., Litvinova, J. and Tauchen, G. (2006). “Leverage and Volatility Feedback Effects in High-Frequency Data”, Journal of Financial Econometrics, 2006, Vol. 4, No. 3, 353-384.
    [6] Chang, C.C., Hsieh, P.F. and Lai, H.N. (2010). “Information Content of Options Trading Volume for Future Volatility:Evidence From the Taiwan Options Market”, Journal of Banking & Finance, 2010, Vol. 34, 174-183.
    [7] Chang, C.C., Hsieh, P.F. and Lai, H.N. (2009). “Do Informed Option Investors Predict Stock Returns? Evidence From the Taiwan Stock Exchange”, Journal of Banking & Finance, 2009, Vol. 33, 757-764.
    [8] Chaput, J.S. and Ederington, L.H. (2004). “Volatility Trade Design”, The Journal of Futures Markets, 2005, Vol. 25, No.3, 243-279.
    [9] Carr, P. and Madan, D. (2001). “Towards a theory of Volatility Trading”, Handbooks in Mathematical Finance:Option Pricing, Interest Rates and Risk Mangement, eds. Cvitanic, J., Jouini, E. and Musiela, M., Cambridge University Press, 2001, 458-476.
    [10] Christensen, B.J. and Prabhala, N.R. (1998). “The Relation Between Implied and Realized Volatility”, Journal of Financial Econometrics, 1998, Vol. 51, 125-150.
    [11] Chung, S. L. and Shackleton, M.K. (2005). “On The Errors and Comparison of Vega Estimation Methods”, The Journal of Futures Markets, 2005, Vol. 25, No. 1, 21-38.
    [12] Dawson, P. and Staikouras, S. (2009). “The Impact of Volatility Derivatives on S&P 500 Volatility”, The Journal of Futures Markets, 2009, Vol. 29, No. 2, 1190-1213.
    [13] Ederington, L.H. and Guan W. (2005). “Forecasting Volatility”, The Journal of Futures Markets, 2005, Vol. 25, No. 5, 465-490.
    [14] Figlewski, S. (1989). “Options Arbitrage in Imperfect Markets”, The Journal of Finance, Dec. 1989, Vol. 44, No. 5, 1289-1311.
    [15] Giot, P. (2005). “Relationships Between Implied Volatility Indexes and Stock Index Returns”, The Journal of Portfolio Management, Spring 2005, 92-100.
    [16] Hung, C.H., Tzang, S.W. and Hsyu, S.D. (2009). “Forecasting Efficiency of Implied Volatility and the Intraday High-Low Price Ranger in Taiwan Stock Market”, International Research Journal of Financial and Economics, 2009, Issue 27, 192-202.
    [17] Lai, H.L. (2009). “A Study of Volatility Trading Strategies:Evidence From Taiwan Index Options”, Working Paper.
    [18] Ni, S.X., Pan, J. and Poteshman, A.M. (2006). “Volatility Information Trading in the Option Market”, The Journal of Financial, June 2006, Vol. 63, No. 3, 1059-1091.
    [19] Poon, S.H. and Granger, C.W.J. (2003). “Forecasting Volatility in Financial Markets:A Review”, Journal of Economic Literature, June 2003, Vol. 41, 478-539.
    [20] Sinclair, E. (2008). “Volatility Trading”, John Wiley & Sons, Inc., 2008.
    [21] Wang, Y.H., Keswani, A. and Taylor, S.J. (2006). “The Relationships Between Sentiment, Returns and Volatility”, International Journal of Forecasting, 2006, Vol. 22, 109-123.
    中文部分
    [1] 江木偉 (2004). “台指選擇權隱含波動率指標之資訊內涵-新編VIX指標之實證”。
    [2] 伍尚文 (2005). “台指選擇權及期貨操作之研究-運用買賣權結構比例即週技術指標”。
    [3] 李茂華 (2009). “運用基因演算法於建立最佳隱含波動率估計值之研究-以台指選擇權為例”。
    [4] 陳仕庭 (2007). “香港恆生指數未來真實波動度之預測-多因子波動度模型與門檻模型之應用”。
    [5] 莊益源、張鍾霖與王祝三 (2003). “波動度模型預測能力的比較-以台指選擇權為例”。
    [6] 張富達 (2003). “國內選擇權市場波動率指數(VIX)之建構與分析”。
    [7] 盧佳鈺 (2003). “台指選擇權隱含波動率指標之資訊內涵”。
    Description: 碩士
    國立政治大學
    金融研究所
    97352018
    98
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0097352018
    Data Type: thesis
    Appears in Collections:[金融學系] 學位論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2218View/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