English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78111/78111 (100%)
Visitors : 30525439      Online Users : 251
RC Version 7.0 © 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: http://ir.lib.ncu.edu.tw/handle/987654321/7903

    Title: 幾何布朗運動之推廣與應用;A generalization of geometric Brownian motion with applications
    Authors: 吳政訓;Cheng-Hsun Wu
    Contributors: 數學研究所
    Keywords: 布朗運動;幾何布朗運動;永續憑證問題;選擇權定價;隨機過程之統計推論;財務工程;Brownian motion;geometric Brownian motion;perpetual warrants;option pricing;statistical inference for stochastic processes;financial engineering
    Date: 2009-06-19
    Issue Date: 2009-09-22 11:08:37 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 布朗運動(Brownian motion)是一個實用的數學模型 (Wiener (1923), Levy (1948), Ciesielski (1961)),在生物(Brown(1827))、物理(Eistein (1905), Mazo (2002))、經濟與財務工程(Bachelier (1900), Black and Scholes (1973)) 隨機微積分(Ito (1944))及許多領域上廣為研究及應用,成果豐碩, 影響深 遠。 雖然幾何布朗運動有著多元化的應用,但是無法涵蓋所有的隨機現象。因此推廣幾何布朗運動, 可以擴展適用範圍,此為本文之主要的目的。本文研究下列幾何布朗運動所推廣的隨機過程及其變化型式。 我們將研究此隨機過程之數學性質,討論其在財務工程的應用,並提出參數之統計推論。 Brownian motion is a rigorous mathematical model (Wiener (1923), Levy (1948), Ciesielski (1961)) with fruitful applications ranging from biology (Brown (1827)), physics (Einstein (1905), Mazo (2002)), economy and financial engineering (Bachelier (1900), Black and Scholes (1973)), to stochastic calculus (Ito (1944)), among others. Functional of Brownian motion is also useful in stochastic modeling. This is particularly true for geometric Brownian motion. For instance, it has been applied to model prices of stock (page 365 in Karlin and Taylor (1975), Black and Scholes(1973)), rice (Yoshimoto el al. (1996)), labor (page 363 in Karlin and Taylor (1975)) and others (Shoji (1995)). See Yor (2001) for more details. Although geometric Brownian motion has a great variety of applications, it can not cover all the random phenomena. It is then desirable to find a general model with geometric Brownian motion as a special model. The purpose of this paper is to investigate the generalizations of geometric Brownian motion and its variants. For the processes mentioned above, we will first study their mathematical properties. Next, we will discuss their applications in financial engineering. In practice, the parameters are unknown and have to be inferred from realizations of processes. We will present estimation and test procedures.
    Appears in Collections:[數學研究所] 博碩士論文

    Files in This Item:

    File SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    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