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Using deep learning in stock price forecasting
The following paper investigates the possibility of using artificial intelligence, in particular a long short-term memory Network (LSTM), to forecast stock prices. As input data 59 different variables are chosen based on ...
The use and misuse of graphs in stand-alone annual reports
Previous studies have proven that graphs are often manipulated to feign a better and sometimes unreal image of the company to investors and other users of annual reports, who rely on graphical disclosure in their decision-making ...