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Volumn 30, Issue 3, 2006, Pages 325-335

Credit classification using grammatical evolution

Author keywords

Bond rating; Credit rating; Grammatical evolution

Indexed keywords

COMPUTER SIMULATION; CONFORMAL MAPPING; DATABASE SYSTEMS; FINANCIAL DATA PROCESSING; INFORMATION ANALYSIS; INVESTMENTS;

EID: 33845247327     PISSN: 03505596     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (28)
  • 2
    • 33845268952 scopus 로고    scopus 로고
    • New York: The Bond Market Association
    • Bond Market Statistics (2003). New York: The Bond Market Association.
    • (2003) Bond Market Statistics
  • 4
    • 33845265748 scopus 로고    scopus 로고
    • Anticipating bankruptcy reorganisation from raw financial data using grammatical evolution
    • Proceedings of EvoIASP 2003, edited by Raidl, G., Meyer, J.A., Middendorf, M., Cagnoni, S., Cardalda, J. J. R., Corne, D. W., Gottlieb, J., Guillot, A., Hart, E., Johnson, C. G., Marchiori, E., Berlin: Springer-Verlag
    • Brabazon, A. and O'Neill, M. (2003). Anticipating Bankruptcy Reorganisation from Raw Financial Data using Grammatical Evolution, Proceedings of EvoIASP 2003, Lecture Notes in Computer Science (2611): Applications of Evolutionary Computing, edited by Raidl, G., Meyer, J.A., Middendorf, M., Cagnoni, S., Cardalda, J. J. R., Corne, D. W., Gottlieb, J., Guillot, A., Hart, E., Johnson, C. G., Marchiori, E., pp. 368-378, Berlin: Springer-Verlag.
    • (2003) Lecture Notes in Computer Science (2611): Applications of Evolutionary Computing , pp. 368-378
    • Brabazon, A.1    O'Neill, M.2
  • 5
    • 35048898367 scopus 로고    scopus 로고
    • Grammatical swarm
    • Lecture Notes in Computer Science (3102), Deb et. al. (eds.), Seattle, USA, June 26-30, 2004, 1, Berlin: Springer-Verlag
    • O'Neill, M. and Brabazon, A. (2004). Grammatical Swarm, in Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2004, Lecture Notes in Computer Science (3102), Deb et. al. (eds.), Seattle, USA, June 26-30, 2004, 1, pp. 163-174, Berlin: Springer-Verlag.
    • (2004) Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2004 , pp. 163-174
    • O'Neill, M.1    Brabazon, A.2
  • 7
    • 0040687067 scopus 로고    scopus 로고
    • The importance and subtlety of credit rating migration
    • Altman, E. (1998). The importance and subtlety of credit rating migration, Journal of Banking & Finance, 22, pp. 1231-1247.
    • (1998) Journal of Banking & Finance , vol.22 , pp. 1231-1247
    • Altman, E.1
  • 9
    • 0002498298 scopus 로고
    • The determination of long term credit standing with financial ratios
    • Horrigan, J. (1966). The determination of long term credit standing with financial ratios, Journal of Accounting Research, (supplement 1966), pp. 44-62.
    • (1966) Journal of Accounting Research , Issue.1966 SUPPL. , pp. 44-62
    • Horrigan, J.1
  • 10
    • 84944831208 scopus 로고
    • A multivariate analysis of industrial bond ratings
    • Pinches, G. and Mingo, K. (1973). A multivariate analysis of industrial bond ratings, Journal of Finance, 28(1), pp. 1-18.
    • (1973) Journal of Finance , vol.28 , Issue.1 , pp. 1-18
    • Pinches, G.1    Mingo, K.2
  • 11
    • 84984434585 scopus 로고
    • Classification models and bond ratings
    • Ederington, H. (1985). Classification models and bond ratings, Financial Review, 20(4), pp. 237-262.
    • (1985) Financial Review , vol.20 , Issue.4 , pp. 237-262
    • Ederington, H.1
  • 12
    • 84987592556 scopus 로고
    • Predicting industrial bond ratings with a probit model and funds flow components
    • Gentry, J., Whitford, D. and Newbold, P. (1988). Predicting industrial bond ratings with a probit model and funds flow components, Financial Review, 23(3), pp. 269-286.
    • (1988) Financial Review , vol.23 , Issue.3 , pp. 269-286
    • Gentry, J.1    Whitford, D.2    Newbold, P.3
  • 13
    • 0002895127 scopus 로고    scopus 로고
    • Predicting bond ratings using neural networks: A comparison with logistic regression
    • Maer, J. and Sen, T. (1997). Predicting bond ratings using neural networks: a comparison with logistic regression, Intelligent Systems in Accounting, Finance and Management, 6, pp. 23-40.
    • (1997) Intelligent Systems in Accounting, Finance and Management , vol.6 , pp. 23-40
    • Maer, J.1    Sen, T.2
  • 20
    • 0004238344 scopus 로고    scopus 로고
    • Oxford University Press
    • Lewin, Benjamin. (2000). Genes VII. Oxford University Press.
    • (2000) Genes VII
    • Lewin, B.1
  • 23
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
    • Altman, E. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, Journal of Finance, 23, pp. 589-609.
    • (1968) Journal of Finance , vol.23 , pp. 589-609
    • Altman, E.1
  • 24
    • 4644355179 scopus 로고    scopus 로고
    • Combining bond rating forecasts using logit
    • Kamstra, M., Kennedy, P. and Suan, T.K. (2001). Combining Bond Rating Forecasts Using Logit, The Financial Review, 37, pp. 75-96.
    • (2001) The Financial Review , vol.37 , pp. 75-96
    • Kamstra, M.1    Kennedy, P.2    Suan, T.K.3
  • 25
    • 12744257691 scopus 로고
    • Modeling the judgment of bond rating agencies: Artificial intelligence applied to finance
    • Singleton, J. and Surkan, A. (1991). Modeling the Judgment of Bond Rating Agencies: Artificial Intelligence Applied to Finance, Journal of the Midwest Finance Association, 20, pp. 72-80.
    • (1991) Journal of the Midwest Finance Association , vol.20 , pp. 72-80
    • Singleton, J.1    Surkan, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.