Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.

In this paper, we compare and analyse the expected default probabilities (EDPs) derived from the six structural models: Merton model, Leland and Toft model, Longstaff and Schwartz model, Briys de Varenne model and the recent Ericsson and Reneby model. In our comparison, we cover the aspects of EDP r...

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Bibliographic Details
Main Authors: Tan, Jeren Shue Lien., Tan, Soon Lye., Ting, Huiying.
Other Authors: Lee, Hon Sing
Format: Final Year Project (FYP)
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/10364
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author Tan, Jeren Shue Lien.
Tan, Soon Lye.
Ting, Huiying.
author2 Lee, Hon Sing
author_facet Lee, Hon Sing
Tan, Jeren Shue Lien.
Tan, Soon Lye.
Ting, Huiying.
author_sort Tan, Jeren Shue Lien.
collection NTU
description In this paper, we compare and analyse the expected default probabilities (EDPs) derived from the six structural models: Merton model, Leland and Toft model, Longstaff and Schwartz model, Briys de Varenne model and the recent Ericsson and Reneby model. In our comparison, we cover the aspects of EDP ranking, average EDP differences, relationship of EDP with key financial ratios and relative predictive power of each model compared with the other models. We found that Merton model tends to overestimate the default probabilities of the 532 non-bankrupt financial institutions used in our study. Its average EDP is found to be at least 16.3% higher than the other models. Also, it is discovered that financial ratios do have a strong explanatory power for the EDPs calculated by the various models. Furthermore, our analysis covers
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spelling ntu-10356/103642023-05-19T03:30:02Z Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US. Tan, Jeren Shue Lien. Tan, Soon Lye. Ting, Huiying. Lee, Hon Sing Nanyang Business School DRNTU::Business::Finance::Risk management In this paper, we compare and analyse the expected default probabilities (EDPs) derived from the six structural models: Merton model, Leland and Toft model, Longstaff and Schwartz model, Briys de Varenne model and the recent Ericsson and Reneby model. In our comparison, we cover the aspects of EDP ranking, average EDP differences, relationship of EDP with key financial ratios and relative predictive power of each model compared with the other models. We found that Merton model tends to overestimate the default probabilities of the 532 non-bankrupt financial institutions used in our study. Its average EDP is found to be at least 16.3% higher than the other models. Also, it is discovered that financial ratios do have a strong explanatory power for the EDPs calculated by the various models. Furthermore, our analysis covers 2008-09-24T07:42:50Z 2008-09-24T07:42:50Z 2007 2007 Final Year Project (FYP) http://hdl.handle.net/10356/10364 Nanyang Technological University application/pdf
spellingShingle DRNTU::Business::Finance::Risk management
Tan, Jeren Shue Lien.
Tan, Soon Lye.
Ting, Huiying.
Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.
title Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.
title_full Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.
title_fullStr Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.
title_full_unstemmed Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.
title_short Empirical comparison of structural credit risk models for Bankruptcy Prediction of Financial Institutions in US.
title_sort empirical comparison of structural credit risk models for bankruptcy prediction of financial institutions in us
topic DRNTU::Business::Finance::Risk management
url http://hdl.handle.net/10356/10364
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AT tinghuiying empiricalcomparisonofstructuralcreditriskmodelsforbankruptcypredictionoffinancialinstitutionsinus