sharp declines in stock returns using classification-based machine learning models. Using ten years of KOSPI 200 index data …

The purpose of this study is to identify the most effective supervised machine learning models for predicting the … Networks (RNNs), Long Short-Term Memory networks (LSTM)), and Instance-based Learning Models (K-Nearest Neighbors (KNN) and … performance, making them particularly effective for financial performance forecasting. Furthermore, deep learning models such as …