This study investigates the economic and financial drivers of volatility changes and integrates them into stock market volatility forecasting. We first collect a diverse set of predictor variables and analyze them within a unified framework. We discover that only a small number of variables...

The authors theoretically analyze the efficiency of liquidity flows in stabilizing distressed markets. Their analysis focuses on the incentives for financial institutions; specifically, they focus on arbitrage profit as an incentive and liquidity risk as a disincentive. The authors show that...

This study predicts stock market volatility and applies them to the standard problem in finance, namely, asset allocation. Based on machine learning and model averaging approaches, we integrate the drivers’ predictive information to forecast market volatilities. Using various evaluation...

This study examines the predictive ability of various risk aversion indicators for future real economic activity (REA). Theoretically, the consumption capital asset pricing model and real business cycle model framework explain the role of the investor’s risk aversion. However, we show that...

This study examines how global risk aversion affects future real economic activity (REA). We propose a new international real business cycle (RBC) framework with a stochastic global risk aversion spillover process by extending the RBC model. Our model reflects output competition and risk...