English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 97106/127750 (76%)
Visitors : 33254766      Online Users : 307
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 140.119/60427
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/60427


    Title: 信用違約機率的聯合校準檢定
    Joint Calibration Test of Credit Rating Probabilities of Default
    Authors: 郭書廷
    Kuo,Shu Ting
    Contributors: 劉惠美
    陳麗霞

    Liu,Huimei
    Chen,Li Shya

    郭書廷
    Kuo,Shu Ting
    Keywords: 違約機率校準檢定
    交聯集檢定
    齊一較強檢力檢定
    calibration test
    intersection union test
    uniformly more powerful test
    Date: 2009
    Issue Date: 2013-09-05 15:09:46 (UTC+8)
    Abstract: 違約機率校準檢定 - global test 由兩部分組成:第一部分為 level,探討真實的平均違約機率是否被高估;第二部分 shape,探討高低違約機率的表現情形。但 global test 與相關違約事件下的 level test 檢定尺度皆遠高於顯著水準 $\alpha$。本文先是針對相關違約事件,利用截斷分配使 level test 犯型一誤差機率更接近顯著水準,並提出虛無假設及對立假設為 $H_0: \theta \in \cup_{i=1}^2 \Theta_{i0}$ vs. $H_1: \theta \in \cap_{i=1}^2 \Theta_{i1}$ 的形式,引用交聯集檢定。更進一步透過 Liu \& Berger (1995, \textit{The Annals of Statistics}, 23, 1, 55-72) 建構齊一較強檢力檢定,改善檢定力。模擬結果顯示交聯集檢定與齊一較強檢力檢定的檢定尺度皆為 $\alpha$,且齊一較強檢力檢定的檢定力皆高於交聯集檢定。
    The calibration test of the PDs (probabilities of default) --- global test is twofold, the first part is the level test, which is about the mean of calibrated PDs. Second, the shape test is about whether a calibrated PD model differentiates correctly between low and high default probability events. In simulation results, we found that the type I error of global test is much greater than significant level $\alpha$, so is level test in correlation default events. In this study, firstly, we use the truncated level test to control previous error and suggest the hypothesis $H_0: \theta \in \cup_{i=1}^2 \Theta_{i0}$ vs. $H_1: \theta \in \cap_{i=1}^2 \Theta_{i1}$. Secondly, we introduce the intersection union test (IUT). Moreover, we construct an uniformly more powerful test (UMP test) by Liu \& Berger (1995, \textit{The Annals of Statistics}, 23, 1, 55-72). Simulation results show that the IUT and UMP test are size $\alpha$ tests, and the power of UMP test is greater than IUT.
    Reference: Berger, R.L. (1989), “Uniformly more powerful tests for hypotheses concerning linear inequalities and normal means”, Journal of the American Statistical Association, 84(405), 192–199.
    Blo ̈chlinger, A., Kantonalbank, Z., and Leippold, M. (2009), “Goodness-of-fit test for event forecasting”, Working paper.
    Lehmann, EL (1952), “Testing multiparameter hypotheses”, The Annals of Mathe- matical Statistics, 541–552.
    Liu, H. and Berger, R.L. (1995), “Uniformly more powerful, one-sided tests for hypotheses about linear inequalities”, The Annals of Statistics, 23(1), 55–72.
    McDermott, Michael P. and Wang, Yining (2002), “Construction of uniformly more powerful tests for hypotheses about linear inequalities”, Journal of Statistical Planning and Inference, 107(1-2), 207 – 217.
    Sasabuchi, S. (1980), “A test of a multivariate normal mean with composite hy- potheses determined by linear inequalities”, Biometrika, 67(2), 429.
    Wilde, T. (1997), “Creditrisk+: A credit risk management framework”, Credit Suisse First Boston.
    Description: 碩士
    國立政治大學
    統計研究所
    97354004
    98
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0097354004
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    400401.pdf2049KbAdobe PDF270View/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
    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。
    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。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback