We develop an unobserved components approach to study surveys of forecasts containing multiple forecast horizons. Under the assumption that forecasters optimally update their beliefs about past, current and future state variables as new information arrives, we use our model to extract...

Standard realized volatility (RV) measures estimate the latent volatility of an asset price using high frequency data with no reference to how or where the estimate will subsequently be used. This paper presents methods for “tailoring” the estimate of volatility to the application in which...

In this paper we document the presence of a term structure of risk and we propose how to measure it using alternative models to forecast volatility and the Value at Risk at different horizons. We then quantify the benefits of an investor that is aware of the existence of a term structure of risk...