Influence of machine learning on stock pricing: a meta-analysis

Beukel, V.B. van den (2022)

Determining the performance of a stock, the growth of a stock and the risk of a stock are vital parts of the stock market and global market. Machine learning is a promising way to do this. Stock prices are used to determine the risk and securities linked to the stock. With the rise of cryptocurrency and better computers, the eyes of people in the investment market are looking for new opportunities to improve their returns. This thesis explains what machine learning is, how prices for stocks are determined and how machine learning has helped the investment market to become more accurate with the pricing. The findings of research papers are compiled and a conclusion will be drawn from it.
Beukel_BA_BMS.pdf