18 citations · 20 across the 2 of their papers we have counts for
2 papers
q-fin.RM2020★ 2 cited
A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees
Parisa Golbayani, Ionuţ Florescu, Rupak Chatterjee
Credit ratings are one of the primary keys that reflect the level of riskiness and reliability of corporations to meet their financial obligations. Rating agencies tend to take ext…
q-fin.RM2020★ 18 cited
Application of Deep Neural Networks to assess corporate Credit Rating
Parisa Golbayani, Dan Wang, Ionut Florescu
Recent literature implements machine learning techniques to assess corporate credit rating based on financial statement reports. In this work, we analyze the performance of four ne…