Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Stock price forecasting."”.
-
Forecasting the Next Winning Stock: A Comparative Analysis of Machine Learning Models
Stock price prediction is a common and complex problem due to the high volatility of financial markets. This master’s thesis presents a new approach to stock price forecasting by reformulating the problem as a multiclass classification task. The main objective is to predict which stock will yield …
-
LSTM prediction capability on the South African JSE Top 40 of historical and live data
… of Long Short-Term Memory (LSTM) models in stock price forecasting using data from the South African FTSE/JSE Top 40 index, a domain yet to be extensively explored, particularly in real-time data analysis. Addressing the gap in existing research, this study assesses LSTM model predictive …
-
Which version of the equity market timing affects capital structure, perceived mispricing or adverse selection?
… information costs based on the bid and ask prices, and the third measure is based on the close-to-offer returns. Based on received theory, a dynamic adverse selection model implies that higher adverse information costs lead to higher leverage. On the other hand, a naïve adverse selection …
-
Analysis of algorithms to create profitable trades in the stock market
… are many different strategies to predict the stock market. When selecting a strategy to predict the stock market, that strategy must be robust and be able to handle unexpected events. This paper analyzes algorithms that are based on human psychology instead of just looking for patterns in the …