中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/11768
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 80990/80990 (100%)
造访人次 : 41644244      在线人数 : 1111
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/11768


    题名: 蒙地卡羅模擬法於衍生性金融商品評價之應用
    作者: 林忠機;Zhong-Jing Lin
    贡献者: 財務金融研究所
    关键词: 蒙地卡羅模擬法;美式選擇權;重設選擇權;海外可轉債;Monte Carlo Simulation;American Option;Reset Option;Euro-Convertible Bond
    日期: 2001-07-12
    上传时间: 2009-09-22 14:31:45 (UTC+8)
    出版者: 國立中央大學圖書館
    摘要: 本文利用蒙地卡羅模擬法評價美式選擇權與衍生性金融商品 Before 1993, only a few papers used the Monte Carlo simulation approach to value American options. Since then, a number of articles developed alternative computational skills for the Monte Carlo simulation to value these options. Grant, Vora and Weeks (1996) successfully developed a technique recently, which can simply and directly determine 'whether early exercise is optimal or not for American options when a particular asset value is reached at a given time using the Monte Carlo approach'. In this paper we first use the Geske and Johoson (1984) method to improve the computational efficiency for the Grant, Vora and Weeks method when valuing plain vanilla American options. We then extend our computational algorithm to the case of American options on the maximum or minimum of two risky assets, whose prices are jointly lognormal distributions. We also show how to calculate the hedge ratios using the Monte Carlo simulations and investigate how the key parameters affect the values of options on maximum or minimum of two risky assets.
    显示于类别:[財務金融研究所] 博碩士論文

    文件中的档案:

    档案 大小格式浏览次数


    在NCUIR中所有的数据项都受到原著作权保护.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明