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Predicting post-IPO financial performance: a hybrid approach using logistic regression and decision trees
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References

  • 1991The Long-Run Performance of Initial Public Offerings3,719 cited
  • 1998Why Do Companies Go Public? An Empirical Analysis1,881 cited
  • 1997The Impact of Size and Age on Firm-Level Performance: Some Evidence from India473 cited
  • 2021Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects438 cited
  • 2013Measuring firm performance using financial ratios: A decision tree approach430 cited
  • 2001Using Asset Turnover and Profit Margin to Forecast Changes in Profitability373 cited
  • 2019Board, audit committee, ownership and financial performance – emerging trends from Thailand243 cited
  • 1997THE SURVIVAL OF INITIAL PUBLIC OFFERINGS IN THE AFTERMARKET224 cited
  • 2014The JOBS Act and IPO volume: Evidence that disclosure costs affect the IPO decision224 cited
  • 2013The Effect of Firm Size on Firms Profitability in Nigeria135 cited
  • 2006Are Bank Loans Special? Evidence on the Post-Announcement Performance of Bank Borrowers128 cited
  • 2020Individual investors’ intention towards SRI in India: an implementation of the theory of reasoned action83 cited
  • 2020Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks51 cited
  • 2023Predicting financial performance for listed companies in Thailand during the transition period: A class-based approach using logistic regression and random forest algorithm

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  • 2019Determinants Influencing Financial Performance of Listed Firms: Quantile Regression Approach43 cited
  • 2023ROA and ROE Forecasting in Iron and Steel Industry Using Machine Learning Techniques for Sustainable Profitability40 cited
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