English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109948/140897 (78%)
Visitors : 46103702      Online Users : 1389
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/140.119/115063


    Title: 多變量複合卜瓦松跳躍擴散模型與高頻資料下之選擇權評價與投資組合策略之研究
    Authors: 廖四郎
    Contributors: 金融系
    Keywords: 共同跳躍;平均數-變異數法則;多變量複合卜瓦松跳躍擴散
    Co-jump;mean-variance;multivariate compund poisson jump diffusion;Esscher transform
    Date: 2013
    Issue Date: 2017-12-08 14:46:42 (UTC+8)
    Abstract: (第一年)本文利用一個多變量複合卜瓦松模型(Multivariate compound Poisson diffusion model)來描述資產價格的動態過程,此模型不僅能解釋資產跳躍亦能解釋資產間共同跳躍情況,並利用Esscher測度轉換得到一個風險中利的資產動態過程,並將此模型應用到互換選擇權評價來探討共同跳躍對於選擇權評價之影響。研究發現當資產間共同跳躍次數愈高,選擇權價值愈高。(第二年)隨著資產間的共同移動與共同跳躍的現象加劇,過去建構在資產動態服從幾何布朗運動的情況將無法描繪。本文提出一個多變量複合卜瓦松跳躍擴散進一步捕捉資產間的共同移動現象,同時也將共同跳躍的現象納入到模型中,並透過Markovwitz的平均數-變異數法則來建構投資組合。研究結果發現當共同跳躍次數的增加,將增加資產間的相關係數,這使得投資組合的風險分散的效果遞減,此外,當有重大的系統性風險發生時,共同跳躍的次數也會增加,且當共同跳躍的頻率增加至某一程度時,資產間的相關係數將達到1,此時,投資組合的建構將無法達到風險分散的效果。
    (First Year) In this study, we investigate the valuation of European exchange options under a two-asset jump-diffusion process with correlations, where both individual jumps and cojumps in the underlying stock price dynamics are modeled by two independent compound Poisson processes with log-normal jump sizes. The Esscher transform technique is applied to provide an efficient way for exchange option valuation under an incomplete market setting. The estimated results and numerical examples are provided to illustrate the impact of cojumps on option prices. (Second Year) The phenomena of co-movement and co-jump among assets become more and more frequent and result in the dynamic process built basing on the geometric Brownian motion cannot depict these anymore. For the sake of taking comovement and co-jump among assets, we propose a new process called multivariate compound poisson diffusion model to more accurately model the dynamics of asset price. In addition, we use the mean-variance method proposed by Markovwitz to construct the portfolio and investigate the impacts of the co-jump on the portfolio construction. We find the increasing of co-jump intensity will also increase the correlation between assets and result in decreasing the effect of risk diversification through portfolio construction. Further, we also find the major systematic risk occurs, such as subprime crisis, the intensity of cojump will also increase.
    Relation: 執行起迄:2013/08/01~2015/10/31
    102-2410-H-004-042-MY2
    Data Type: report
    Appears in Collections:[金融學系] 國科會研究計畫

    Files in This Item:

    File Description SizeFormat
    102-2410-H-004-042-MY2.pdf1669KbAdobe PDF2313View/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