In this study, we proposed two types of hybrid models based on the heterogeneous autoregressive (HAR) model and support vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is first predicted using the HAR model, and the...

This paper attempts to investigate the impact of credit information sharing on bank-specific stock price crash risk. Using a sample of 1,402 listed-banks in 55 countries for the period 2005-2013, we show that credit information sharing through public credit registries is negatively associated...

Forecasting stock market movements is a challenging task from the practitioners' point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach can be better used to forecast stock closing prices using real-world datasets of daily stock...