Add to ORKGBig data has become a rapidly growing field amongst firms in the financial sector and thus many companies and researchers have begun implementing machine learning methods to sift through large portions of data. From this data, investment management firms have attempted to automate investment strategies, some successful and some unsuccessful. This paper will investigate an investment strategy by using a deep neural network to see whether the stocks picked from the network will out or underperform the Russell 2000
This paper analyzes the factor zoo, which has theoretical and empirical implications for finance, fr...
In recent years, neural networks have become increasingly popular in making stock market predictions...
In the last decade, neural networks have drawn noticeable attention from many computer and operation...
Deep learning is a framework for training and modelling neural networks which recently have surpasse...
There have been multiple attempts to predict stock returns using machine learning, which have largel...
Abstract—This paper describes a neural system which helps to make the current investment decisions. ...
Nowadays, Financial Markets represent a crucial part of the world economy. Financial Markets have gr...
The experiment performed showed that predicting stock movements accurately with a neural networks is...
In the 19th century, gold diggers emigrated from Europe to North America with the hopes of a brighte...
The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if ...
Deep learning has been widely used in hedge funds and asset management firms. The increasing complex...
Since the Finance Industry is, through the years, growing tremendously, the willingness ...
Artificial neural networks are a robust, effective complement to traditional statistical methods in ...
The use of neural network as an investment tool is relatively new in today's financial world. There ...
Abstract Deep Learning and Big Data analytics are two focal points of data science. Deep Learning mo...
This paper analyzes the factor zoo, which has theoretical and empirical implications for finance, fr...
In recent years, neural networks have become increasingly popular in making stock market predictions...
In the last decade, neural networks have drawn noticeable attention from many computer and operation...
Deep learning is a framework for training and modelling neural networks which recently have surpasse...
There have been multiple attempts to predict stock returns using machine learning, which have largel...
Abstract—This paper describes a neural system which helps to make the current investment decisions. ...
Nowadays, Financial Markets represent a crucial part of the world economy. Financial Markets have gr...
The experiment performed showed that predicting stock movements accurately with a neural networks is...
In the 19th century, gold diggers emigrated from Europe to North America with the hopes of a brighte...
The fundamental hypothesis of this paper is that certain trends exist in stock market data that, if ...
Deep learning has been widely used in hedge funds and asset management firms. The increasing complex...
Since the Finance Industry is, through the years, growing tremendously, the willingness ...
Artificial neural networks are a robust, effective complement to traditional statistical methods in ...
The use of neural network as an investment tool is relatively new in today's financial world. There ...
Abstract Deep Learning and Big Data analytics are two focal points of data science. Deep Learning mo...
This paper analyzes the factor zoo, which has theoretical and empirical implications for finance, fr...
In recent years, neural networks have become increasingly popular in making stock market predictions...
In the last decade, neural networks have drawn noticeable attention from many computer and operation...