Most macroeconomic data is continuously revised as additional information becomes available. We suggest that revisions of data is an increasingly important source of uncertainty about the state of the economy and offer an alternative channel of uncertainty - data uncertainty. This paper adds on...

The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...

This paper exploits a data rich environment to provide direct econometric estimates of time-varying macroeconomic uncertainty, defined as the common volatility in the unforecastable component of a large number of economic indicators. Our estimates display significant independent variations from...

Catastrophe risk models are quantitative models used to estimate probabilistic loss distributions for a specified range of assets subject to a baseline level of disaster risk. While cat risk models are used extensively by the insurance and reinsurance industry to estimate expected losses to...

Common research suggests that investor sentiment is negatively related to future stock returns and positively related to future volatility. I incorporate this idea in the asset allocation process by blending both views on the expected return and the conditional value at risk (CVaR) based on...