-
1
-
-
84980104458
-
Financial Ratios, Discriminant Analysis and Prediction of Corporate Bankruptcy
-
Altman, E. I. 1968. “ Financial Ratios, Discriminant Analysis and Prediction of Corporate Bankruptcy.” Journal of Finance 23: 589–610.
-
(1968)
Journal of Finance
, vol.23
, pp. 589-610
-
-
Altman, E.I.1
-
3
-
-
0002554419
-
Financial Ratios as Predictors of Failures
-
Beaver, W. H. 1966. “ Financial Ratios as Predictors of Failures.” Journal of Accounting Research (Supplement 1966): 71–102.
-
(1966)
Journal of Accounting Research
, pp. 71-102
-
-
Beaver, W.H.1
-
4
-
-
39749084409
-
Forecasting Default with the Merton Distance to Default Model
-
Bharath, S. T., and T. Shumway. 2008. “ Forecasting Default with the Merton Distance to Default Model.” Review of Financial Studies 21 (3): 1339–69.
-
(2008)
Review of Financial Studies
, vol.21
, Issue.3
, pp. 1339-1369
-
-
Bharath, S.T.1
Shumway, T.2
-
5
-
-
33747045112
-
Bankruptcy Prediction with Industry Effects
-
Chava, S., and R. A. Jarrow. 2004. “ Bankruptcy Prediction with Industry Effects.” Review of Finance 8: 537–69.
-
(2004)
Review of Finance
, vol.8
, pp. 537-569
-
-
Chava, S.1
Jarrow, R.A.2
-
6
-
-
1842612523
-
Can Out-of-Sample Forecast Comparisons Help Prevent Overfitting?
-
Clark, T. E. 2004. “ Can Out-of-Sample Forecast Comparisons Help Prevent Overfitting?” Journal of Forecasting 23 (2): 115–39.
-
(2004)
Journal of Forecasting
, vol.23
, Issue.2
, pp. 115-139
-
-
Clark, T.E.1
-
7
-
-
0002027984
-
A Comparative Analysis of Current Credit Risk Models
-
Crouhy, M., D. Galai, and R. Mark. 2000. “ A Comparative Analysis of Current Credit Risk Models.” Journal of Banking & Finance 24: 59–117.
-
(2000)
Journal of Banking & Finance
, vol.24
, pp. 59-117
-
-
Crouhy, M.1
Galai, D.2
Mark, R.3
-
8
-
-
0030143666
-
A Survey of Business Failures with an Emphasis on Prediction Methods and Industrial Applications
-
Dimitras, A. I., S. H. Zanakis, and C. Zopounidis. 1996. “ A Survey of Business Failures with an Emphasis on Prediction Methods and Industrial Applications.” European Journal of Operational Research 90: 487–513.
-
(1996)
European Journal of Operational Research
, vol.90
, pp. 487-513
-
-
Dimitras, A.I.1
Zanakis, S.H.2
Zopounidis, C.3
-
9
-
-
84870659791
-
A Class of Discrete Transformation Survival Models with Application to Default Probability Prediction
-
Ding, A. A., S. Tian, Y. Yu, and H. Guo. 2012. “ A Class of Discrete Transformation Survival Models with Application to Default Probability Prediction.” Journal of the American Statistical Association. 107: 990–1003.
-
(2012)
Journal of the American Statistical Association.
, vol.107
, pp. 990-1003
-
-
Ding, A.A.1
Tian, S.2
Yu, Y.3
Guo, H.4
-
10
-
-
33847186611
-
Multi-Period Corporate Default Prediction with Stochastic Covariates
-
Duffie, D., L. Saita, and K. Wang. 2007. “ Multi-Period Corporate Default Prediction with Stochastic Covariates.” Journal of Financial Economics 83: 635–65.
-
(2007)
Journal of Financial Economics
, vol.83
, pp. 635-665
-
-
Duffie, D.1
Saita, L.2
Wang, K.3
-
11
-
-
85164801988
-
-
Predicting Bankruptcy with Support Vector Machines. SFB 649 Discussion Paper, Economic Risk, Berlin
-
Härdle, W., R. A. Moro, and D. Schäfer. 2005. Predicting Bankruptcy with Support Vector Machines. SFB 649 Discussion Paper, Economic Risk, Berlin.
-
(2005)
-
-
Härdle, W.1
Moro, R.A.2
Schäfer, D.3
-
13
-
-
0346039760
-
A Note on the Optimal Cutoff Point in Bankruptcy Prediction Models
-
Hsieh, S. 1993. “ A Note on the Optimal Cutoff Point in Bankruptcy Prediction Models.” Journal of Business Finance & Accounting 20 (3): 457–64.
-
(1993)
Journal of Business Finance & Accounting
, vol.20
, Issue.3
, pp. 457-464
-
-
Hsieh, S.1
-
14
-
-
70349453862
-
Support vector machines for default prediction of SMEs based on technology credit
-
Kim, H. S., and S. Y. Sohn. 2010. “ Support vector machines for default prediction of SMEs based on technology credit.” European Journal of Operational Research 201: 838–46.
-
(2010)
European Journal of Operational Research
, vol.201
, pp. 838-846
-
-
Kim, H.S.1
Sohn, S.Y.2
-
15
-
-
85023906195
-
The Sensitivity of Optimal Cutoff Points to Misclassification Costs of Type I and Type II Errors in the Going-Concern Prediction Context
-
Koh, H. C. 1992. “ The Sensitivity of Optimal Cutoff Points to Misclassification Costs of Type I and Type II Errors in the Going-Concern Prediction Context.” Journal of Business Finance & Accounting 19 (2): 187–97.
-
(1992)
Journal of Business Finance & Accounting
, vol.19
, Issue.2
, pp. 187-197
-
-
Koh, H.C.1
-
16
-
-
0029358380
-
A neural network for classifying the financial health of a firm
-
Lacher, R. C., P. K. Coats, S. C. Sharma, and L. F. Fant. 1995. “ A neural network for classifying the financial health of a firm.” European Journal of Operations Research 85: 53–65.
-
(1995)
European Journal of Operations Research
, vol.85
, pp. 53-65
-
-
Lacher, R.C.1
Coats, P.K.2
Sharma, S.C.3
Fant, L.F.4
-
17
-
-
0000808665
-
On the pricing of corporate debt: The risk structure of interest rates
-
Merton, R. C. 1974. “ On the pricing of corporate debt: The risk structure of interest rates.” Journal of Finance 29: 449–70.
-
(1974)
Journal of Finance
, vol.29
, pp. 449-470
-
-
Merton, R.C.1
-
19
-
-
3042810447
-
A Comparison of General Price Level and Historical Cost Financial Statements in the Prediction of Bankruptcy
-
Norton, C. L., and R. E. Smith. 1979. “ A Comparison of General Price Level and Historical Cost Financial Statements in the Prediction of Bankruptcy.” The Accounting Review 54: 72–87.
-
(1979)
The Accounting Review
, vol.54
, pp. 72-87
-
-
Norton, C.L.1
Smith, R.E.2
-
20
-
-
0000666375
-
Financial Ratios and the Probabilistic Prediction of Bankruptcy
-
Ohlson, J. S. 1980. “ Financial Ratios and the Probabilistic Prediction of Bankruptcy.” Journal of Accounting Research 19: 109–31.
-
(1980)
Journal of Accounting Research
, vol.19
, pp. 109-131
-
-
Ohlson, J.S.1
-
21
-
-
0025559251
-
-
A neural network model for bankruptcy prediction. Proceedings of the IEEE International Conference on Neural Networks, II, 1990
-
Odom, M. D., and R. Sharda. 1990. A neural network model for bankruptcy prediction. Proceedings of the IEEE International Conference on Neural Networks, II, 1990, 163–68.
-
(1990)
, pp. 163-168
-
-
Odom, M.D.1
Sharda, R.2
-
22
-
-
85164770396
-
-
Estimating Probabilities of Default. Federal Reserve Bank of New York, Staff Reports 190, July 2004
-
Schuermann, T., and S. Hanson. 2004. Estimating Probabilities of Default. Federal Reserve Bank of New York, Staff Reports No. 190, July 2004.
-
(2004)
-
-
Schuermann, T.1
Hanson, S.2
-
23
-
-
84997479670
-
Managerial Applications of Neural Networks: The Case of Bank Failure Predictions
-
Tam, K. Y., and M. Y. Kiang. 1992. “ Managerial Applications of Neural Networks: The Case of Bank Failure Predictions.” Management Science 38 (7): 926–47.
-
(1992)
Management Science
, vol.38
, Issue.7
, pp. 926-947
-
-
Tam, K.Y.1
Kiang, M.Y.2
-
25
-
-
1842663087
-
Default Risk in Equity Returns
-
Vassalou, M., and Y. Xing. 2004. “ Default Risk in Equity Returns.” Journal of Finance 59 (2): 831–68.
-
(2004)
Journal of Finance
, vol.59
, Issue.2
, pp. 831-868
-
-
Vassalou, M.1
Xing, Y.2
-
26
-
-
0001574842
-
Bankruptcy costs: Some evidence
-
Warner, J. B. 1977. “ Bankruptcy costs: Some evidence.” Journal of Finance 32: 337–47.
-
(1977)
Journal of Finance
, vol.32
, pp. 337-347
-
-
Warner, J.B.1
-
27
-
-
85164811660
-
-
The Impact of Incorporating the Cost of Errors into Bankruptcy Prediction Models. Working Paper
-
Weiss, L. A., and V. Capkun. 2005. The Impact of Incorporating the Cost of Errors into Bankruptcy Prediction Models. Working Paper.
-
(2005)
-
-
Weiss, L.A.1
Capkun, V.2
-
28
-
-
0032640524
-
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
-
Zhang, G., M. Y. Hu, B. E. Patuwo, and D. C. Indro. 1999. “ Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis.” European Journal of Operational Research 116: 16–32.
-
(1999)
European Journal of Operational Research
, vol.116
, pp. 16-32
-
-
Zhang, G.1
Hu, M.Y.2
Patuwo, B.E.3
Indro, D.C.4
-
29
-
-
84899024917
-
1-Norm Support Vector Machines
-
Zhu, J., S. Rosset, T. Hastie, and R. Tibshirani. 2004. “ 1-Norm Support Vector Machines.” Advances in Neural Information Processing Systems 16 (1): 49–56.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, Issue.1
, pp. 49-56
-
-
Zhu, J.1
Rosset, S.2
Hastie, T.3
Tibshirani, R.4
-
30
-
-
0001953906
-
Methodological Issues Related to the Estimation of Financial Distress Prediction Models
-
Zmijewski, M. 1984. “ Methodological Issues Related to the Estimation of Financial Distress Prediction Models.” Journal of Accounting Research 22: 59–82.
-
(1984)
Journal of Accounting Research
, vol.22
, pp. 59-82
-
-
Zmijewski, M.1
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