La serie de Documentos de Investigación del Banco de México divulga resultados preliminares de trabajos de investigación económica realizados en el Banco de México con la finalidad de propiciar el intercambio y debate de ideas. El contenido de los Documentos de Investigación, aśı como las conclusiones que de ellos se derivan, son responsabilidad exclusiva de los autores y no reflejan necesariamente las del Banco de México. The Working Papers series of Banco de México disseminates preliminary results of economic research conducted at Banco de México in order to promote the exchange and debate of ideas. The views and conclusions presented in the Working Papers are exclusively the responsibility of the authors and do not necessarily ...
Abstract: Characterization of individual behaviours by the process of data mining has been key tool ...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
Bankruptcy is an important topic for a number of people (shareholders, banks, investors, suppliers,....
In business analytics and the financial world, bankruptcy prediction has been ...
We are interested in forecasting bankruptcies in a probabilistic way. Specifcally, we com- pare the ...
An intensive research from academics and practitioners has been provided regarding models for bankru...
We provide a predictive model specifically designed for the Italian economy that classifies solvent ...
This dissertation aims to enhance the performance of traditional corporate bankruptcy prediction mod...
The interest in the prediction of corporate bankruptcy is increasing due to the implications associa...
Funding Information: We would like to thank Dmitriy Afanasyev, Igor Demin, Vera Kononova, Yuri Zelen...
Bankruptcy prediction problem has been intensively studied over the past decades. From traditional s...
Estimating the risk of corporate bankruptcies is of large importance to creditors and in- vestors. F...
Bankruptcy has recently upraised as an excessive concern due to the recent world crisis. Early forec...
The interest in the prediction of corporate bankruptcy is increasing due to the implications associa...
Abstract: Characterization of individual behaviours by the process of data mining has been key tool ...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
Bankruptcy is an important topic for a number of people (shareholders, banks, investors, suppliers,....
In business analytics and the financial world, bankruptcy prediction has been ...
We are interested in forecasting bankruptcies in a probabilistic way. Specifcally, we com- pare the ...
An intensive research from academics and practitioners has been provided regarding models for bankru...
We provide a predictive model specifically designed for the Italian economy that classifies solvent ...
This dissertation aims to enhance the performance of traditional corporate bankruptcy prediction mod...
The interest in the prediction of corporate bankruptcy is increasing due to the implications associa...
Funding Information: We would like to thank Dmitriy Afanasyev, Igor Demin, Vera Kononova, Yuri Zelen...
Bankruptcy prediction problem has been intensively studied over the past decades. From traditional s...
Estimating the risk of corporate bankruptcies is of large importance to creditors and in- vestors. F...
Bankruptcy has recently upraised as an excessive concern due to the recent world crisis. Early forec...
The interest in the prediction of corporate bankruptcy is increasing due to the implications associa...
Abstract: Characterization of individual behaviours by the process of data mining has been key tool ...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...