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Robust neural modeling for the cross-sectional analysis of accounting information

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  • Landajo, Manuel
  • de Andres, Javier
  • Lorca, Pedro

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  • Landajo, Manuel & de Andres, Javier & Lorca, Pedro, 2007. "Robust neural modeling for the cross-sectional analysis of accounting information," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1232-1252, March.
    • Handle: RePEc:eee:ejores:v:177:y:2007:i:2:p:1232-1252
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    1. Hashemi, R. R. & Le Blanc, L. A. & Rucks, C. T. & Rajaratnam, A., 1998. "A hybrid intelligent system for predicting bank holding structures," European Journal of Operational Research, Elsevier, vol. 109(2), pages 390-402, September.
    2. Slowinski, R. & Zopounidis, C. & Dimitras, A. I., 1997. "Prediction of company acquisition in Greece by means of the rough set approach," European Journal of Operational Research, Elsevier, vol. 100(1), pages 1-15, July.
    3. Andrews, Donald W K, 1991. "Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models," Econometrica, Econometric Society, vol. 59(2), pages 307-345, March.
    4. Sudarsanam, P. S. & Taffler, R. J., 1995. "Financial ratio proportionality and inter-temporal stability: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 19(1), pages 45-60, April.
    5. Norman R. Swanson & Halbert White, 1997. "A Model Selection Approach To Real-Time Macroeconomic Forecasting Using Linear Models And Artificial Neural Networks," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 540-550, November.
    6. Xiaohong Chen & Xiaotong Shen, 1998. "Sieve Extremum Estimates for Weakly Dependent Data," Econometrica, Econometric Society, vol. 66(2), pages 289-314, March.
    7. Stuart McLeay & Duarte Trigueiros, 2002. "Proportionate Growth and the Theoretical Foundations of Financial Ratios," Abacus, Accounting Foundation, University of Sydney, vol. 38(3), pages 297-316, October.
    8. Jukka Perttunen & Teppo Martikainen, 1990. "Distributional characteristics and proportionality of market-based security ratios," Finnish Economic Papers, Finnish Economic Association, vol. 3(2), pages 125-133, Autumn.
    9. de Andres, Javier & Landajo, Manuel & Lorca, Pedro, 2005. "Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case," European Journal of Operational Research, Elsevier, vol. 167(2), pages 518-542, December.
    10. Canbas, Serpil & Cabuk, Altan & Kilic, Suleyman Bilgin, 2005. "Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case," European Journal of Operational Research, Elsevier, vol. 166(2), pages 528-546, October.
    11. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643, November.
    12. Lee, Cwj, 1985. "Stochastic Properties Of Cross-Sectional Financial Data," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 213-227.
    13. Koenker, Roger, 2000. "Galton, Edgeworth, Frisch, and prospects for quantile regression in econometrics," Journal of Econometrics, Elsevier, vol. 95(2), pages 347-374, April.
    14. Lev, Baruch & Sunder, Shyam, 1979. "Methodological issues in the use of financial ratios," Journal of Accounting and Economics, Elsevier, vol. 1(3), pages 187-210, December.
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    Cited by:

    1. Bottmer, Lea & Croux, Christophe & Wilms, Ines, 2022. "Sparse regression for large data sets with outliers," European Journal of Operational Research, Elsevier, vol. 297(2), pages 782-794.
    2. Amani, Farzaneh A. & Fadlalla, Adam M., 2017. "Data mining applications in accounting: A review of the literature and organizing framework," International Journal of Accounting Information Systems, Elsevier, vol. 24(C), pages 32-58.
    3. Cao, Qing & Ewing, Bradley T. & Thompson, Mark A., 2012. "Forecasting wind speed with recurrent neural networks," European Journal of Operational Research, Elsevier, vol. 221(1), pages 148-154.
    4. Ebadi Jalal, Mona & Hosseini, Monireh & Karlsson, Stefan, 2016. "Forecasting incoming call volumes in call centers with recurrent Neural Networks," Journal of Business Research, Elsevier, vol. 69(11), pages 4811-4814.
    5. Hossein Etemadi & Ahmad Ahmadpour & Seyed Moshashaei, 2015. "Earnings Per Share Forecast Using Extracted Rules from Trained Neural Network by Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 55-63, June.
    6. Manuel Landajo & Javier De Andrés & Pedro Lorca, 2008. "Measuring firm performance by using linear and non‐parametric quantile regressions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 227-250, April.

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