Volatility autocorrelation in the stock market with artificial neural networks
Predicting the trend of financial features in complex financial systems is important and challenging, one useful tool is looking at the autocorrelation function, used in technical analysis as it shows how closely related a pattern reappears in the future. In this paper, we demonstrate a way to op...
Saved in:
Main Author: | Tham, Zhi Rong |
---|---|
Other Authors: | Cheong Siew Ann |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175690 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A novel preformulation tool to group microcrystalline celluloses using artificial neural network and data clustering
by: Soh, J.L.P., et al.
Published: (2014) -
Artificial neural network for tsunami forecasting
by: Romano, M., et al.
Published: (2014) -
Applying artificial neural networks (ANN) model in flash flood simulation and forcast.
by: Applying artificial neural networks (ANN) model in flash flood simulation and forcast.
Published: (2017) -
Applying artificial neural networks for vapor-liquid equilibrium prediction
by: Nguyen, Viet D.
Published: (2006) -
Advances in Memristor-Based Neural Networks
by: Xu, W., et al.
Published: (2022)