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...

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...

Pension funds investment behavior have found to be persistent over time. Empirical findings of such persistence support conjectures that belief biases such as overoptimism and reputational concerns affect fiduciary investment behavior. Standard mean-variance analyses do not consider the...