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題名 台灣股市中下市公司之預測–歷史事件研究法
作者 蘇凡晴
貢獻者 江振東<br>郭維裕
<br>
蘇凡晴
關鍵詞 歷史事件研究法
Cox迴歸模型
Logit模型
上市公司
下市公司
Event history analysis
Cox regression model
Logit model
Listed firms
Delisted firms
日期 2002
上傳時間 2009-09-14
摘要 本論文主要目地是在研究財務比率對上市公司發生下市事件之預測。我們運用歷史事件研究法和Cox迴歸模型去研究上市公司發生下市事件之原因。同時,我們也針對Cox迴歸模型和Logit模型在發現對下市事件有顯著影響的財務比率作比較。
This study applies the event history analysis and the Cox regression model to examine the causes of firm delisting, and also compares the performance of the Cox regression model with that of the logit model in detecting factors that have a statistically significant impact on the delisting event. The empirical results show that the hazard rate of firm delisting increases with the ratio of current liabilities to current assets, a binary variable indicating if the total liabilities of a firm is greater than its total assets, and a binary variable indicating if the net income of a firm was negative for the last two quarters, while the hazard rate of firm delisting decreases with increases in the firm size and the ratio of funds provided by operations to total liabilities.
參考文獻 1. Allison, P. D. (1995), Survival Analysis Using the SAS System: A Practical Guide, Cary, NC: SAS Institute, Inc.
2. Allison, P. D. (1999), Logistic Regression Using the SAS System: Theory and Application, Cary, NC: SAS Institute, Inc.
3. Andersen, P. K. and R. D. Gill (1982), “Cox’s Regression Model for Counting Processes: A Large Sample Study,” The Annals of Statistics, 10(4), 1100-1120.
4. Altman, E. I. and R. A. Eisenbeis (1978), “Financial Applications of Discriminant Analysis: A Clarification,” Journal of Financial and Quantitative Analysis, 185-195.
5. Cox, D. R. (1972), “Regression Models and Life-Tables,” Journal of the Royal Statistical Society, B34 (2), 187-220.
6. Eisenbeis, R. A. (1977), “Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics,” Journal of Finance, 32(3), 875-900.
7. Grambsch, P. M. and T. M. Therneau (1994), “Proportional Hazards Tests and Diagnostics Based on Weighted Residuals,” Biometrika, 81, 3, 515-526.
8. Hill, N. T., S. E. Perry, and S. Andes (1996), “Evaluating Firms in Financial Distress: An Event History Analysis,” Journal of Applied Business Research, 12(3), 60-71.
9. Kalbfleisch, J. D. and R. L. Prentice (1980), The Statistical Analysis of Failure Time Data, New York: John Wiley and Sons.
10. Kim, Y., D. R. Anderson, T. L. Amburgey, and J. C. Hickman (1995), “The Use of Event History Analysis to Examine Insurer Insolvencies,” Journal of Risk and Insurance, 62(1), 94-110.
11. Lane, W. R., S. W. Looney, and J. W. Wansley (1986), “An Application of the Cox Proportional Hazards Model to Bank Failure,” Journal of Banking and Finance, 10(4), 511-531.
12. Lin, D. Y. (1991), “Goodness-of-fit Analysis for the Cox Regression Model Based on a Class of Parameter Estimators,” Journal of the American Statistical Association, 86, 725-728.
13. Ohlson, J. A. (1980), “Financial Ratios and the Probabilistic Prediction of Bankruptcy,” Journal of Accounting Research, 18(1), 109-131.
14. Teachman, T. D. and M. D. Hayward (1993), “Interpreting Hazard Rate Models,” Sociological Methods and Research, 21(3), 340-371.
15. Wheelock, D. C. and P. W. Wilson (1995), “Explaining Bank Failures: Deposit Insurance, Regulation, and Efficiency,” The Review of Economics and Statistics, 77(4), 689-700.
描述 碩士
國立政治大學
統計研究所
88354022
91
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0088354022
資料類型 thesis
dc.contributor.advisor 江振東<br>郭維裕zh_TW
dc.contributor.advisor <br>en_US
dc.contributor.author (作者) 蘇凡晴zh_TW
dc.creator (作者) 蘇凡晴zh_TW
dc.date (日期) 2002en_US
dc.date.accessioned 2009-09-14-
dc.date.available 2009-09-14-
dc.date.issued (上傳時間) 2009-09-14-
dc.identifier (其他 識別碼) G0088354022en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/30869-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 統計研究所zh_TW
dc.description (描述) 88354022zh_TW
dc.description (描述) 91zh_TW
dc.description.abstract (摘要) 本論文主要目地是在研究財務比率對上市公司發生下市事件之預測。我們運用歷史事件研究法和Cox迴歸模型去研究上市公司發生下市事件之原因。同時,我們也針對Cox迴歸模型和Logit模型在發現對下市事件有顯著影響的財務比率作比較。zh_TW
dc.description.abstract (摘要) This study applies the event history analysis and the Cox regression model to examine the causes of firm delisting, and also compares the performance of the Cox regression model with that of the logit model in detecting factors that have a statistically significant impact on the delisting event. The empirical results show that the hazard rate of firm delisting increases with the ratio of current liabilities to current assets, a binary variable indicating if the total liabilities of a firm is greater than its total assets, and a binary variable indicating if the net income of a firm was negative for the last two quarters, while the hazard rate of firm delisting decreases with increases in the firm size and the ratio of funds provided by operations to total liabilities.en_US
dc.description.tableofcontents Section 1 Introduction …………………………………………… 1
     Section 2 Event History Methodology …………………………… 5
     Section 3 Sample and Variable
      3.1 Sample Selection and Data Collection ………… 9
      3.2 Variable Selection ………………………………… 11
     Section 4 Empirical Results
      4.1 Cox Regression Model ……………………………… 15
      4.2 Comparison of the Cox Regression Model and
      the Logit Model …………………………………… 19
     Section 5 Goodness of fit of the Cox Regression Model and
      the Logit Model ………………………………………… 25
     Section 6 Conclusion ……………………………………………… 27
     References …………………………………………………………… 29
     Appendix I The 48 delisted Corporations …………………… 31
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0088354022en_US
dc.subject (關鍵詞) 歷史事件研究法zh_TW
dc.subject (關鍵詞) Cox迴歸模型zh_TW
dc.subject (關鍵詞) Logit模型zh_TW
dc.subject (關鍵詞) 上市公司zh_TW
dc.subject (關鍵詞) 下市公司zh_TW
dc.subject (關鍵詞) Event history analysisen_US
dc.subject (關鍵詞) Cox regression modelen_US
dc.subject (關鍵詞) Logit modelen_US
dc.subject (關鍵詞) Listed firmsen_US
dc.subject (關鍵詞) Delisted firmsen_US
dc.title (題名) 台灣股市中下市公司之預測–歷史事件研究法zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 1. Allison, P. D. (1995), Survival Analysis Using the SAS System: A Practical Guide, Cary, NC: SAS Institute, Inc.zh_TW
dc.relation.reference (參考文獻) 2. Allison, P. D. (1999), Logistic Regression Using the SAS System: Theory and Application, Cary, NC: SAS Institute, Inc.zh_TW
dc.relation.reference (參考文獻) 3. Andersen, P. K. and R. D. Gill (1982), “Cox’s Regression Model for Counting Processes: A Large Sample Study,” The Annals of Statistics, 10(4), 1100-1120.zh_TW
dc.relation.reference (參考文獻) 4. Altman, E. I. and R. A. Eisenbeis (1978), “Financial Applications of Discriminant Analysis: A Clarification,” Journal of Financial and Quantitative Analysis, 185-195.zh_TW
dc.relation.reference (參考文獻) 5. Cox, D. R. (1972), “Regression Models and Life-Tables,” Journal of the Royal Statistical Society, B34 (2), 187-220.zh_TW
dc.relation.reference (參考文獻) 6. Eisenbeis, R. A. (1977), “Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics,” Journal of Finance, 32(3), 875-900.zh_TW
dc.relation.reference (參考文獻) 7. Grambsch, P. M. and T. M. Therneau (1994), “Proportional Hazards Tests and Diagnostics Based on Weighted Residuals,” Biometrika, 81, 3, 515-526.zh_TW
dc.relation.reference (參考文獻) 8. Hill, N. T., S. E. Perry, and S. Andes (1996), “Evaluating Firms in Financial Distress: An Event History Analysis,” Journal of Applied Business Research, 12(3), 60-71.zh_TW
dc.relation.reference (參考文獻) 9. Kalbfleisch, J. D. and R. L. Prentice (1980), The Statistical Analysis of Failure Time Data, New York: John Wiley and Sons.zh_TW
dc.relation.reference (參考文獻) 10. Kim, Y., D. R. Anderson, T. L. Amburgey, and J. C. Hickman (1995), “The Use of Event History Analysis to Examine Insurer Insolvencies,” Journal of Risk and Insurance, 62(1), 94-110.zh_TW
dc.relation.reference (參考文獻) 11. Lane, W. R., S. W. Looney, and J. W. Wansley (1986), “An Application of the Cox Proportional Hazards Model to Bank Failure,” Journal of Banking and Finance, 10(4), 511-531.zh_TW
dc.relation.reference (參考文獻) 12. Lin, D. Y. (1991), “Goodness-of-fit Analysis for the Cox Regression Model Based on a Class of Parameter Estimators,” Journal of the American Statistical Association, 86, 725-728.zh_TW
dc.relation.reference (參考文獻) 13. Ohlson, J. A. (1980), “Financial Ratios and the Probabilistic Prediction of Bankruptcy,” Journal of Accounting Research, 18(1), 109-131.zh_TW
dc.relation.reference (參考文獻) 14. Teachman, T. D. and M. D. Hayward (1993), “Interpreting Hazard Rate Models,” Sociological Methods and Research, 21(3), 340-371.zh_TW
dc.relation.reference (參考文獻) 15. Wheelock, D. C. and P. W. Wilson (1995), “Explaining Bank Failures: Deposit Insurance, Regulation, and Efficiency,” The Review of Economics and Statistics, 77(4), 689-700.zh_TW