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Volatility forecasting using Deep Learning and sentiment analysis

Volatility forecasting using Deep Learning and sentiment analysis

22 October 2022
V. Ncume
Terence L van Zyl
Andrew Paskaramoorthy
ArXivPDFHTML

Papers citing "Volatility forecasting using Deep Learning and sentiment analysis"

5 / 5 papers shown
Title
Fusion of Sentiment and Asset Price Predictions for Portfolio
  Optimization
Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
Mufhumudzi Muthivhi
Terence L van Zyl
17
5
0
10 Mar 2022
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning
  Strategies for Model Fusion
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion
Pieter Cawood
Terence L van Zyl
AI4TS
36
13
0
07 Mar 2022
Multivariate Anomaly Detection based on Prediction Intervals Constructed
  using Deep Learning
Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning
Thabang Mathonsi
Terence L van Zyl
38
9
0
07 Oct 2021
A Robust Predictive Model for Stock Price Prediction Using Deep Learning
  and Natural Language Processing
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing
Sidra Mehtab
Jaydip Sen
AIFin
28
95
0
09 Dec 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
635
31,469
0
16 Jan 2013
1