Estimating Conditional PD when Defaults Number is Small

碩士 === 國立政治大學 === 統計研究所 === 98 === By the internal rating-based approach of Basel II, banks estimate borrowers' default risks to withdraw reserves independently. Hence, estimating default probability (PD) of borrowers is important. Most of previous studies estimating PD assume that evaluation s...

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Main Authors: Tang,yan hsin, 唐延新
Other Authors: 劉惠美
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/83491814382282008523
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spelling ndltd-TW-098NCCU53370022016-04-25T04:29:10Z http://ndltd.ncl.edu.tw/handle/83491814382282008523 Estimating Conditional PD when Defaults Number is Small 違約戶稀少時之估計條件違約機率 Tang,yan hsin 唐延新 碩士 國立政治大學 統計研究所 98 By the internal rating-based approach of Basel II, banks estimate borrowers' default risks to withdraw reserves independently. Hence, estimating default probability (PD) of borrowers is important. Most of previous studies estimating PD assume that evaluation scores are discrete, In this study, we use curve function to t estimation model in the condition that the evaluation scores are continuous . We use truncated gamma distribution to t ROC curve function. And we use the ROC curve function to estimate PD of dierent scores. And use two-step method to nd the value of two parameters in gamma distribution. The estimation method in this study doesn't assume the distribution of estimation scores,so we use dierent distributions, parameters, and default probabilities to test the accuracy and stability of this method. In the end, we also compare our methods with Van der Burgt (2008) and Tasche (2009)' methods. 劉惠美 陳麗霞 2010 學位論文 ; thesis 56 zh-TW
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language zh-TW
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description 碩士 === 國立政治大學 === 統計研究所 === 98 === By the internal rating-based approach of Basel II, banks estimate borrowers' default risks to withdraw reserves independently. Hence, estimating default probability (PD) of borrowers is important. Most of previous studies estimating PD assume that evaluation scores are discrete, In this study, we use curve function to t estimation model in the condition that the evaluation scores are continuous . We use truncated gamma distribution to t ROC curve function. And we use the ROC curve function to estimate PD of dierent scores. And use two-step method to nd the value of two parameters in gamma distribution. The estimation method in this study doesn't assume the distribution of estimation scores,so we use dierent distributions, parameters, and default probabilities to test the accuracy and stability of this method. In the end, we also compare our methods with Van der Burgt (2008) and Tasche (2009)' methods.
author2 劉惠美
author_facet 劉惠美
Tang,yan hsin
唐延新
author Tang,yan hsin
唐延新
spellingShingle Tang,yan hsin
唐延新
Estimating Conditional PD when Defaults Number is Small
author_sort Tang,yan hsin
title Estimating Conditional PD when Defaults Number is Small
title_short Estimating Conditional PD when Defaults Number is Small
title_full Estimating Conditional PD when Defaults Number is Small
title_fullStr Estimating Conditional PD when Defaults Number is Small
title_full_unstemmed Estimating Conditional PD when Defaults Number is Small
title_sort estimating conditional pd when defaults number is small
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/83491814382282008523
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AT tángyánxīn wéiyuēhùxīshǎoshízhīgūjìtiáojiànwéiyuējīlǜ
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