4 февр. 2021 г. · The first paper that we came across actually applying a ML methodology exclusively on an economics problem is the study of Wang et al. (1984).

2 мар. 2024 г. · The concept of ML in computer science was developed in the 1950s, but it has seen rapid growth in recent years thanks to the advancement of ...

Recent machine learning applications in financial fields seem very successful as compared to traditional empirical models.

11 февр. 2021 г. · Especially in finance, the application of machine learning enables both researchers and practitioners to gain new insights into financial data ...

19 сент. 2024 г. · This study provides a comprehensive review of machine learning (ML) applications in the fields of business and finance.

ML has also been widely used in applications related to the economic and financial analysis of energy markets, such as price prediction and risk management.

We aim to showcase the benefits of using ML in economics research and policy analysis and offer suggestions on where, when and how to effectively apply ML ... Introduction · Use of machine learning in... · Limitations

Machine learning is increasingly being utilized in economic research. Here, we discuss three main ways that economists are currently using machine learning ...

Periklis Gogas & Theophilos Papadimitriou, 2021. "Machine Learning in Economics and Finance," Computational Economics, Springer;Society for Computational ...

This special issue aims to explore cutting-edge advancements in various areas, including but not limited to Big Data applied to finance, natural language ...