English  |  正體中文  |  简体中文  |  Items with full text/Total items : 75982/75982 (100%)
Visitors : 28194592      Online Users : 141
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/987654321/7695

    Title: 門檻隨機波動跳躍模型之貝氏推論
    Authors: 錢衍成;Yan-Cheng Chien
    Contributors: 統計研究所
    Keywords: 門檻隨機波動模型;主觀先驗分佈;馬可夫鏈蒙地卡羅;風險值;門檻隨機波動跳躍模型;DIC 準則;threshold stochastic volatility model;Markov chain Monte Carlo (MCMC);Bayesian;deviance information criterion (DIC)
    Date: 2007-06-21
    Issue Date: 2009-09-22 11:02:24 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本文考慮門檻隨機波動模型與門檻隨機波動跳躍模型之貝氏分析。在給定主觀先驗分佈下,以馬可夫鏈蒙地卡羅方法估計模型中之未知參數,進而討論未來觀測值與風險值之預測。關於隨機跳躍部份,本文亦分別考慮跳躍幅度與跳躍機率可能會隨門檻值改變的情形。實務分析中,可以 DIC 準則做為模型選擇的依據。 This thesis presents a threshold stochastic volatility model and a threshold stochastic volatility jump model with unknown threshold from a Bayesian viewpoint. Bayesian inferences of the unknown parameters are obtained with respect to a subjective prior distribution via Markov chain Monte Carlo (MCMC) method. In addition, the value at risk (VaR) of the distribution of the next future observation is also developed based on predictive distribution. For jump component in the threshold stochastic volatility model, we consider the situations where the jump size and jump probability might be changed by the threshold value. In practice, the deviance information criterion (DIC) is suggested for model selection.
    Appears in Collections:[統計研究所] 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