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Robust neural modeling for the cross-sectional analysis of accounting information
16 references·0 citing·50 second hop
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References

  • 1997A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks364 cited
  • 1987The Analysis and Use of Financial Ratios: A Review Article324 cited
  • 2004Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case298 cited
  • 1979Methodological issues in the use of financial ratios256 cited
  • 1982METHODOLOGICAL IMPLICATIONS OF NON‐NORMALLY DISTRIBUTED FINANCIAL RATIOS147 cited
  • 1980SOME BASIC PROPERTIES OF ACCOUNTING RATIOS134 cited
  • 2004Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case77 cited
  • 1998A hybrid intelligent system for predicting bank holding structures72 cited
  • 1990An Induced Theory of Financial Ratios54 cited
  • 1987Industry Effects and the Proportionality Assumption In Ratio Analysis. A Variance Component Analysis43 cited
  • 1985Stochastic Properties of Cross-Sectional Financial Data43 cited
  • 1985The Functional Specification of Financial Ratios: An Empirical Examination41 cited
  • 1995Financial ratio proportionality and inter-temporal stability: An empirical analysis38 cited
  • 1987Sector and Size Effects in Ratio Analysis: An Indirect Test of Ratio Proportionality36 cited

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  • 2002Proportionate Growth and the Theoretical Foundations of Financial Ratios35 cited
  • 1995An Empirical Evaluation of an Induced Theory of Financial Ratios32 cited
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