Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Scientific Research Publishing

Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach ()

Wu, R. , Zhuang, L. and He, M. (2026) Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach. Open ...
GitHub

Intelligent FOREX Exchange Rate Forecasting using Hybrid GARCH-LSTM and Big Data Analytics

Project Overview This project implements a hybrid GARCH-LSTM architecture for forecasting FOREX exchange rate volatility, specifically focusing on the EUR/USD currency pair. The research combines ...
IEEE

Asymmetric t-GARCH(1,1) Model for Heuristic Kalman Filtering

Abstract: In this letter, the novel asymmetric t-GARCH(1,1) (ATGARCH(1,1)) model is proposed. By calculating the tail exponent (TE), it is discovered that the TE of the ATGARCH(1,1) distribution is ...
The Aviationist

Scaled Composites’ Model 437 Vanguard Has Flown For The First Time

Developed as an unmanned loyal wingman, the Model 437 performed the first flight with a cockpit and Scaled Composites’ Brian Maisler at the commands. The new Model 437 aircraft by Scaled Composites, ...
GitHub

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM

├── README.md <-- Main README file explaining the project's business case, │ methodology, and findings │ ├── Notebooks <-- Jupyter Notebooks for exploration and presentation │ └── Exploratory <-- ...