We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a...

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a...

We investigate the dynamics of heterogeneous beliefs and link them to the volatility pattern throughout the seasoned equity offering (SEO) event window. In sync with a reduction in information asymmetry related to management information releases around the SEO event, belief heterogeneity...

We use monthly time-series data on the prices of 96 individual products in the 37 states of Nigeria to analyze the factors that drive inflation volatility. Among the significant determinants of volatility are average inflation rates, transport and communication infrastructure, consumer access to...