Mestiri, Sami (2024): Financial applications of machine learning using R software.
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Abstract
In the last years, the financial sector has seen an increase in the use of machine learning models in banking and insurance contexts. Advanced analytic teams in the financial community are implementing these models regularly. In this paper, we analyses the limitations of machine learning methods, and then provides some suggestions on the choice of methods in financial applications. We refer the reader to the R libraries that can be used to compute the Machine learning methods
Item Type: | MPRA Paper |
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Original Title: | Financial applications of machine learning using R software |
Language: | English |
Keywords: | Financial applications; Machine learning ; R software. |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics C - Mathematical and Quantitative Methods > C5 - Econometric Modeling G - Financial Economics > G2 - Financial Institutions and Services > G23 - Non-bank Financial Institutions ; Financial Instruments ; Institutional Investors |
Item ID: | 119998 |
Depositing User: | DR sami mestiri |
Date Deposited: | 13 Feb 2024 08:08 |
Last Modified: | 13 Feb 2024 08:09 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/119998 |