Analysts follow disproportionally firms whose fundamentals correlate more with those of their industry peers. This coverage pattern supports models of profit-maximizing information intermediaries producing preferentially information valuable in pricing more stocks. We designate highly followed...

This study investigates the role of oil futures price information on forecasting the US stock market volatility using the HAR framework. In-sample results indicate that oil futures intraday information is helpful to increase the predictability. Moreover, compared to the benchmark model, the...

We examine information spillover as a source of stock return synchronicity, where information about highly-followed "prominent" stocks is used to price other "neglected" stocks sharing a common fundamental component. We find that stocks followed by few analysts co-move significantly with...

We examine information spillover as a source of stock return synchronicity, where information about highly-followed "prominent" stocks is used to price other "neglected" stocks sharing a common fundamental component. We find that stocks followed by few analysts co-move significantly with...