Predicting the Performance of Retail Market Firms: Regression and Machine Learning Methods › SPbU Researchers Portal

Predicting the Performance of Retail Market Firms: Regression and Machine Learning Methods

Research output: Contribution to journal › Article › peer-review

Department of Finance and Accounting

Documents

mathematics-11-01916-v2
3.25 MB, PDF document

DOI

https://doi.org/10.3390/math11081916
Final published version

Дарко Вукович
Любовь Спицына
Екатерина Грибанова
Владислав Спицын
Иван Лыжин

Original language	English
Article number	1916
Number of pages	23
Journal	Mathematics
Volume	11
Issue number	8
DOIs	https://doi.org/10.3390/math11081916
State	Published - 18 Apr 2023

Research areas

Random Forest, deep neural network, ensemble algorithm, firm performance, long short-term memory, machine learning methods, non-linear models of panel data forecasting, portfolio algorithm, profitability prediction, random effects regression, retail market companies

ID: 104537390