Credit Portfolio Simulation Using Correlated Binomial Lattices
碩士 === 國立臺灣大學 === 財務金融學研究所 === 97 === We revisit the models developed in Das and Sundaram (2004) and Bandreddi, et al. (2007). Bandreddi, et al. (2007) use a simplified version of the model developed by Das and Sundaram for correlated default simulation. We find that in their setting, problematic pr...
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ndltd-TW-097NTU053040122016-05-09T04:14:03Z http://ndltd.ncl.edu.tw/handle/69496035607078048152 Credit Portfolio Simulation Using Correlated Binomial Lattices 利用具相關性之二元樹模型做信用組合違約模擬 Tsung-Kai Huang 黃琮凱 碩士 國立臺灣大學 財務金融學研究所 97 We revisit the models developed in Das and Sundaram (2004) and Bandreddi, et al. (2007). Bandreddi, et al. (2007) use a simplified version of the model developed by Das and Sundaram for correlated default simulation. We find that in their setting, problematic probabilities may arise which may cause biased results for the purpose of default simulation and the pricing of derivative products. We suggest an alternative model — the D-CEV model, as an alternative to address this problem. The new model is an extension of a popular binomial model and is easy to implement. We further explore the natural characteristics of our method with several numerical experiments. Our proposed model is found to resolve the unpleasant flaws in the model of Bandreddi, et al. (2007) while preserving its desirable properties. We also show how this framework accounts for several empirical features. 呂育道 2009 學位論文 ; thesis 50 en_US |
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碩士 === 國立臺灣大學 === 財務金融學研究所 === 97 === We revisit the models developed in Das and Sundaram (2004) and Bandreddi, et al. (2007). Bandreddi, et al. (2007) use a simplified version of the model developed by Das and Sundaram for correlated default simulation. We find that in their setting, problematic probabilities may arise which may cause biased results for the purpose of default simulation and the pricing of derivative products. We suggest an alternative model — the D-CEV model, as an alternative to address this problem. The new model is an extension of a popular binomial model and is easy to implement. We further explore the natural characteristics of our method with several numerical experiments. Our proposed model is found to resolve the unpleasant flaws in the model of Bandreddi, et al. (2007) while preserving its desirable properties. We also show how this framework accounts for several empirical features.
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呂育道 |
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呂育道 Tsung-Kai Huang 黃琮凱 |
author |
Tsung-Kai Huang 黃琮凱 |
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Tsung-Kai Huang 黃琮凱 Credit Portfolio Simulation Using Correlated Binomial Lattices |
author_sort |
Tsung-Kai Huang |
title |
Credit Portfolio Simulation Using Correlated Binomial Lattices |
title_short |
Credit Portfolio Simulation Using Correlated Binomial Lattices |
title_full |
Credit Portfolio Simulation Using Correlated Binomial Lattices |
title_fullStr |
Credit Portfolio Simulation Using Correlated Binomial Lattices |
title_full_unstemmed |
Credit Portfolio Simulation Using Correlated Binomial Lattices |
title_sort |
credit portfolio simulation using correlated binomial lattices |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/69496035607078048152 |
work_keys_str_mv |
AT tsungkaihuang creditportfoliosimulationusingcorrelatedbinomiallattices AT huángcóngkǎi creditportfoliosimulationusingcorrelatedbinomiallattices AT tsungkaihuang lìyòngjùxiāngguānxìngzhīèryuánshùmóxíngzuòxìnyòngzǔhéwéiyuēmónǐ AT huángcóngkǎi lìyòngjùxiāngguānxìngzhīèryuánshùmóxíngzuòxìnyòngzǔhéwéiyuēmónǐ |
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1718263653267931136 |