This is an Accepted Manuscript of an article published by Taylor & Francis in Quantitative Finance on 8 January 2020, available online: http://www.tandfonline.com/10.1080/14697688.2019.170303
This paper provides a review on machine learning methods applied to the asset management discipline....
Machine Learning (ML) for finance is a fruitful approach to detect patterns in data. However, when i...
The modernization of the financial market, with the introduction of the internet, made it easier for...
International audienceGet to know the ‘why’ and ‘how’ of machine learning and big data in quantitati...
The numerical nature of financial markets makes market forecasting and portfolio construction a good...
Technology has turned into a significant differentiator in the money and traditional recordkeeping s...
Forecasting the behavior of the stock market is a classic but difficult topic, one that has attracte...
Financial researchers, who often work with large volumes of financial data, need efficient tools to ...
This article focuses on supervised learning and reinforcement learning. These areas overlap most wit...
In the 2020s, Artificial Intelligence (AI) has been increasingly becoming a dominant technology, and...
This study investigates how modern machine learning (ML) techniques can be used to advance the field...
Econometrics and machine learning are quite close and related concepts. Nowadays, it is always more ...
Machine learning is increasingly gaining applications in Finance industry. In this dissertation, I u...
The aftermath of the financial crisis of 2009 as well as the multiple Flash Crashes of the early 201...
The usage of machine learning in finance has been increased a lot in the past decade. Machine learni...
This paper provides a review on machine learning methods applied to the asset management discipline....
Machine Learning (ML) for finance is a fruitful approach to detect patterns in data. However, when i...
The modernization of the financial market, with the introduction of the internet, made it easier for...
International audienceGet to know the ‘why’ and ‘how’ of machine learning and big data in quantitati...
The numerical nature of financial markets makes market forecasting and portfolio construction a good...
Technology has turned into a significant differentiator in the money and traditional recordkeeping s...
Forecasting the behavior of the stock market is a classic but difficult topic, one that has attracte...
Financial researchers, who often work with large volumes of financial data, need efficient tools to ...
This article focuses on supervised learning and reinforcement learning. These areas overlap most wit...
In the 2020s, Artificial Intelligence (AI) has been increasingly becoming a dominant technology, and...
This study investigates how modern machine learning (ML) techniques can be used to advance the field...
Econometrics and machine learning are quite close and related concepts. Nowadays, it is always more ...
Machine learning is increasingly gaining applications in Finance industry. In this dissertation, I u...
The aftermath of the financial crisis of 2009 as well as the multiple Flash Crashes of the early 201...
The usage of machine learning in finance has been increased a lot in the past decade. Machine learni...
This paper provides a review on machine learning methods applied to the asset management discipline....
Machine Learning (ML) for finance is a fruitful approach to detect patterns in data. However, when i...
The modernization of the financial market, with the introduction of the internet, made it easier for...