Financial time series forecasting with machine learning techniques: A survey
Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd
Stock index forecasting is vital for making informed investment decisions. This paper surveys recent literature in the domain of machine learning techniques and artificial intelligence used to forecast stock market movements. The publications are categorised according to the machine learning technique used, the forecasting timeframe, the input variables used, and the evaluation techniques employed. It is found that there is a consensus between researchers stressing the importance of stock index forecasting. Artificial Neural Networks (ANNs) are identified to be the dominant machine learning technique in this area. We conclude with possible future research directions.
| Iaith wreiddiol | Saesneg |
|---|---|
| Teitl | Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN 2010) |
| Tudalennau | 25-30 |
| Nifer y tudalennau | 6 |
| Statws | Cyhoeddwyd - 2010 |
| Cyhoeddwyd yn allanol | Ie |