The Effect of Liquidity on Deep Learning Errors
This study investigates the impact of market liquidity and macroeconomic variables on the forecasting performance of deep learning models in financial markets. The primary objective is to forecast price movements for ten stocks listed on the BIST 30 index using a single-layer Long Short-Term Memory (LSTM) model and ide...