An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States.
In the field of measuring and managing credit risk, structural models have gained wide recognition due to their ability to anticipate firm’s default risk very early. On the other hand, traditional methods of assessing credit risk such as ratings and financial ratios analysis have their appeal in...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/21214 |
| _version_ | 1811678178762031104 |
|---|---|
| author | Luu, Thi Thu Trang. Tran, Thu Thao. Tan, Hong Yi. |
| author2 | Leon Chuen Hwa |
| author_facet | Leon Chuen Hwa Luu, Thi Thu Trang. Tran, Thu Thao. Tan, Hong Yi. |
| author_sort | Luu, Thi Thu Trang. |
| collection | NTU |
| description | In the field of measuring and managing credit risk, structural models have gained wide
recognition due to their ability to anticipate firm’s default risk very early. On the other hand,
traditional methods of assessing credit risk such as ratings and financial ratios analysis have
their appeal in its being unsophisticated and easy to understand. This paper aims to
calibrate a model which is simplistic yet effective at warning firm’s default risk.
Our analysis covers 64 listed technology firms in the United Stated whose stocks and
options had been actively traded from 1998-2008. Study reveals that there is a weak
positive correlation between the probabilities of default (PD) predicted by the Merton’s
model and Standard & Poor’s average 1-year default rates for different rating scales.
Consistent with studies done by KMV Corporation, it suggests that ratings may not be
responsive to firm’s changing default risk.
Distance-to-default (D2), in the (Merton, 1974) structural model, is found to be positively
correlated with four out of five independent variables in the well-known Altman Credit-
Scoring Model. D2 also has positive correlation with other financial ratios which were
selected based on the criteria set by (Chen & Shimerda, 1981). Out of all these financial
ratios, two, namely earnings before interest and taxes/total assets (EBIT/TA) and cash flow
to sales (CF/S), appear to be strong predictors of D2.
Finally, the research concludes with a simple and effective multivariate model of D2. |
| first_indexed | 2024-10-01T02:49:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/21214 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:49:08Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/212142023-05-19T07:23:11Z An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. Luu, Thi Thu Trang. Tran, Thu Thao. Tan, Hong Yi. Leon Chuen Hwa Nanyang Business School DRNTU::Business::Finance::Risk management In the field of measuring and managing credit risk, structural models have gained wide recognition due to their ability to anticipate firm’s default risk very early. On the other hand, traditional methods of assessing credit risk such as ratings and financial ratios analysis have their appeal in its being unsophisticated and easy to understand. This paper aims to calibrate a model which is simplistic yet effective at warning firm’s default risk. Our analysis covers 64 listed technology firms in the United Stated whose stocks and options had been actively traded from 1998-2008. Study reveals that there is a weak positive correlation between the probabilities of default (PD) predicted by the Merton’s model and Standard & Poor’s average 1-year default rates for different rating scales. Consistent with studies done by KMV Corporation, it suggests that ratings may not be responsive to firm’s changing default risk. Distance-to-default (D2), in the (Merton, 1974) structural model, is found to be positively correlated with four out of five independent variables in the well-known Altman Credit- Scoring Model. D2 also has positive correlation with other financial ratios which were selected based on the criteria set by (Chen & Shimerda, 1981). Out of all these financial ratios, two, namely earnings before interest and taxes/total assets (EBIT/TA) and cash flow to sales (CF/S), appear to be strong predictors of D2. Finally, the research concludes with a simple and effective multivariate model of D2. BUSINESS 2010-03-23T01:41:08Z 2010-03-23T01:41:08Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/21214 en Nanyang Technological University 41 p. application/pdf |
| spellingShingle | DRNTU::Business::Finance::Risk management Luu, Thi Thu Trang. Tran, Thu Thao. Tan, Hong Yi. An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. |
| title | An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. |
| title_full | An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. |
| title_fullStr | An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. |
| title_full_unstemmed | An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. |
| title_short | An empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the United States. |
| title_sort | empirical evaluation of the effectiveness of financial ratio analysis in predicting corporate bankruptcy for technology firms in the united states |
| topic | DRNTU::Business::Finance::Risk management |
| url | http://hdl.handle.net/10356/21214 |
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