Volatility Forecasting for High-Frequency Financial Data Based on Web Search Index and Deep Learning Model
The existing index system for volatility forecasting only focuses on asset return series or historical volatility, and the prediction model cannot effectively describe the highly complex and nonlinear characteristics of the stock market.In this study, we construct an investor attention factor through a Baidu search index of antecedent keywords, and