淡江大學機構典藏:Item 987654321/126752
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64178/96951 (66%)
Visitors : 10042217      Online Users : 21302
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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://tkuir.lib.tku.edu.tw/dspace/handle/987654321/126752


    Title: Empirical Performance of Component GARCH Models in Pricing VIX Term Structure and VIX Futures
    Authors: Hung-Wen Cheng;Li-Han Chang;Chien-Ling Lo;Jeffrey Tzuhao Tsai
    Keywords: VIX;VIX term structure;VIX futures;GARCH;Long-run variance
    Date: 2023-03-11
    Issue Date: 2025-03-20 09:23:01 (UTC+8)
    Abstract: Under the component GARCH model of Christoffersen et al. (2008), this research provides the
    analytical pricing formulae of the VIX term structure and VIX futures, points out the zero-risk
    premium feature in the fully persistent model of Christoffersen et al. (2008), and examines
    the pricing performances of eight nested models. Our empirical results show that decomposing conditional variance into long-run and short-run components may not be successful in describing S&P 500 Index returns, volatility indices, and VIX futures prices. Lastly, we conduct trading strategies in the VIX futures market to evaluate the economic significance of model predictions.
    Relation: Journal of Empirical Finance 72, p.122-142
    DOI: 10.1016/j.jempfin.2023.03.005
    Appears in Collections:[Graduate Institute & Department of Banking and Finance] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML15View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback