Manuscript Topics

Recent years have seen more and more impact of Data Science and Machine Learning techniques to the Financial sector. Generally, credit rating assessment combines quantitative as well as qualitative inputs.  Machine learning techniques are able to analyze past ratings and determine the nature of the assessment to produce methods for credit assessment in the future. Environmental Social Governance (ESG) ratings are very important for responsibility investment, however there is very little agreement between the various rating agencies. More research is required to determine standards for producing ESG ratings. This special issue is dedicated to data science and machine learning techniques designed to address both these problems.

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