Predicting cash holdings using supervised machine learning algorithms

This study predicts the cash holdings policy of Turkish firms, given the 20 selected features with machine learning algorithm methods. 211 listed firms in the Borsa Istanbul are analyzed over the period between 2006 and 2019. Multiple linear regression (MLR), k-nearest neighbors (KNN), support vecto...

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Detalles Bibliográficos
Autores principales: Özlem, Şirin, Tan, Omer Faruk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113774/
https://www.ncbi.nlm.nih.gov/pubmed/35601748
http://dx.doi.org/10.1186/s40854-022-00351-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113774/
https://www.ncbi.nlm.nih.gov/pubmed/35601748
http://dx.doi.org/10.1186/s40854-022-00351-8

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