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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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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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.
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劉惠美 |
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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 |
work_keys_str_mv |
AT tangyanhsin estimatingconditionalpdwhendefaultsnumberissmall AT tángyánxīn estimatingconditionalpdwhendefaultsnumberissmall AT tangyanhsin wéiyuēhùxīshǎoshízhīgūjìtiáojiànwéiyuējīlǜ AT tángyánxīn wéiyuēhùxīshǎoshízhīgūjìtiáojiànwéiyuējīlǜ |
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