We propose a corporate default rating process for the Taiwan Stock Market which incorporates financial ratios, corporate governance, macroeconomic variables and financial media reports. Multi-measurements of the ‘distress intensity of default-corpus’ (DIDC) using linguistic analysis are...

We apply computational linguistic text mining (TM) analysis to extract and quantify relevant Chinese financial news in an attempt to further develop the classical early warning models of financial distress. Extending the work of Demers and Vega (2011), we propose a measure of the degree of...