Natalia Acevedo-Prins

ARCH–LSTM Structural Equivalence with Hybrid Student-t Likelihood Loss for Financial Volatility Forecasting

Accurate conditional volatility forecasting is essential for risk management, asset pricing, and portfolio optimization. Despite the widespread use of GARCH family models and the proliferation of deep learning architectures, a methodological gap persists: neural networks are rarely trained under criteria statistically...