Stock Movement and Volatility Prediction from Tweets, Macroeconomic
Factors and Historical Prices

Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices

4 December 2023

Shengkun Wang

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Papers citing "Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices"

5 / 5 papers shown

Title
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting H. Tang Lijun Wu Weiqing Liu Jiang Bian AIFin 33 4 0 11 Dec 2020
Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model Hyeong Kyu Choi AIFin 35 50 0 05 Aug 2018
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction Ziniu Hu Weiqing Liu Jiang Bian Xuanzhe Liu Tie-Yan Liu 47 308 0 06 Dec 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 823 39,255 0 09 Mar 2016
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,414 0 03 Jun 2014