A Hybrid Analysis Approach to Improve Financial Distress Forecasting: Empirical Evidence from Iran
Table 1
Some recent researches in financial distress forecasting.
Method(s)
Author
Applying support vector machines to bank bankruptcy analysis using practical steps [33]
Erdogan, 2013
Presenting particle swarm optimization techniques to obtain appropriate parameter settings for subtractive clustering and integrates the adaptive-network-based fuzzy inference system (ANFIS) [16]
Chen, 2013
Applying a simple hazard model to develop an early warning system of bank distress in the gulf cooperation council countries [34]
Maghyereh and Awartani, 2014
Presenting a statistics-based wrapper for SVM-based financial distress identification by using statistical indices of ranking-order information from predictive performances on various parameters [35]
Li et al., 2014
Examining the effect of the filter and wrapper based feature selection methods and applying different classification techniques [36]
