Modelling Profits Forecasts for the Russian Banking Sector Using Random Forest and Regression Algorithms

Modelling Profits Forecasts for the Russian Banking Sector Using Random Forest and Regression Algorithms

This study is relevant because market uncertainty induces progressively more attempts at making accurate profits forecasts in the banking sector. The scientific novelty of this study lies in the profits forecasts for the Russian banking sector performed using a random forest machine learning (ML) mo...

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Bibliographic Details
Main Authors: Nikolay Lomakin, Anastasia Kulachinskaya, Svetlana Naumova, Maya Ibrahim, Evelina Fedorovskaya, Ivan Lomakin
Format: Article
Language:English
Published: Peter the Great St. Petersburg Polytechnic University 2023-09-01
Series:Sustainable Development and Engineering Economics
Subjects:
digital model
cognitive model
ml model
random forest
profits forecast for banking sector
Online Access:https://sustainable.spbstu.ru/en/article/2023.9.1/

Internet

https://sustainable.spbstu.ru/en/article/2023.9.1/

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