English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51578682      Online Users : 970
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 > 統計學系 > 學位論文 >  Item 140.119/48950
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/48950


    Title: 一籃子信用違約交換評價之有效演算法
    Efficient algorithms for basket default swap valuation
    Authors: 李昭儀
    Contributors: 劉惠美
    陳麗霞

    李昭儀
    Keywords: 一籃子信用違約交換
    變異數縮減
    偏斜常態分配
    Date: 2009
    Issue Date: 2010-12-08 01:53:54 (UTC+8)
    Abstract: 本研究探討評價一籃子信用商品有效率的估計方法,所謂有效率是指計算簡單、快速且能達到變異數縮減,Chiang, Yueh, and Hsieh (2007)提出一個有效演算法,模型中將系統性風險因子與非系統性風險因子視為常態分配,但考慮現實情況系統性風險因子未必為對稱分配,因此本文系統性風險採用偏斜常態分配,而非系統性風險為常態分配。根據Chiang, Yueh, and Hsieh (2007)所提之演算法,並將其延伸至多個系統性風險因子,探討此方法在系統風險為偏斜常態分配下變異數縮減的效果。以不同的投資組合計算其違約給付金額,並與蒙地卡羅法模擬結果比較,由於此方法皆在至少有k個違約發生的事件下抽樣,因此所需模擬次數較少,計算時間也較短,且可達到變異數縮減。
    單一系統性風險因子模型,當 ρ 值高,變異數縮減效果越好,且變異數縮減的效果也隨著 k 值越大效果越好。在二個系統性風險因子模型,變異數縮減的效果也是隨著 k 值越大效果越好。就各因子的權重而言,變異數縮減的效果原則上對權重較大的因子做重點抽樣,變異數縮減效果較顯著,但是此方法對於極為右偏的分配時,對權重較大的因子做重點抽樣效果不彰,此時反而針對對稱分配做重點抽樣的效果較佳。此方法就到期時間做探討,發現到期時間越長變異數縮減效果越差。
    Reference: 1. Anderson, Eric C. (1999). “Monte Carlo Methods and Importance Sampling.” Lecture Notes for Stat 578C, Statistical Genetics.
    2. Chiang, M.H., Yueh, M.L. and Hsieh, M.H. (2007). “An Efficient Algorithm for Basket Default Swap Valuation.” Journal of Derivatives, pp. 8-19.
    3. Chen, Zhiyong and Paul Glasserman (2008). “Fast Pricing of Basket Default Swaps.” Operations Research, Vol. 56, No. 2, pp. 286-303.
    4. Gupta, Arjun K., Nguyen, Truc T. and Sanqui, Jose Almer T. (2004). “Characterization of the Skew-normal Distribution.” Annals of the Institute of Statistical Mathematics, pp. 351-360.
    5. Glasserman, Paul and Jingyi Li (2005). “Importance Sampling for Portfolio Credit Risk.” Management Science, Vol. 51, pp. 1643-1656.
    6. Hull, J. and A. White (2001). “Valuing Credit Default Swap II: Modeling Default Correlation.” Journal of Derivatives, Vol. 3, pp. 12-22.
    7. Hull, J. and A. White (2004). “Valuation of a CDO and an nth to Default CDS without Monte Carlo Simulation.” Journal of Derivatives, Vol. 2, pp. 8-23.
    8. Laurent, J. P. and J. Gregory (2005). “Basket Default Swaps, CDO’s and Factor Copulas.” Journal of Risk, Vol. 7, No. 4, pp. 103-122.
    9. Li, D.X. (2000). “On Default Correlation:A Copula Approach.” Journal of Fixed Income, Vol. 4, pp. 43-54.
    Description: 碩士
    國立政治大學
    統計研究所
    97354018
    98
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0097354018
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2387View/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