models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our … structural estimation. Based on the market and aggregate consumption data, our estimation provides statistical support for asset …-varying volatility are preferred to the long-run risk model. We analyze asset pricing implications of the estimated models …

In this paper we investigate transmission and spillovers of local and foreign economic policy uncertainty shocks to … addition to local effects we find foreign uncertainty shocks influence the Euro area but not the US unemployment. Moreover we … document weaker spillovers of both local and foreign uncertainty shocks in the more volatile times. …

model uncertainty or imprecision in a probabilistic framework. We discuss imprecise versions of stochastic processes with a …

This study examined how uncertainty and global risk affect financial markets in emerging economies, focusing on foreign … structural vector autoregression (VAR) models, the research found that increases in Economic Policy Uncertainty (EPU … spreads influence exchange rates, causing currency depreciation. The findings highlight the interconnectedness of uncertainty …

The effects of sentiment should be strongest during times of heightened valuation uncertainty. As such, we document a … significant amplifying role for market uncertainty in the relation between sentiment and aggregate investment. A one …-standard-deviation increase in uncertainty more than doubles the effect of sentiment on investment. Moreover, allowing uncertainty …

(ii) deliver a significantly improved match between ex ante and ex post forecast uncertainty. According to our estimates …, uncertainty about inflation, output growth and unemployment in the U.S. and the Euro area is higher after correcting for the … survey‐based average uncertainty during the years since the financial and sovereign debt crisis. …

We investigate whether the United States economy responds negatively to oil price uncertainty and whether oil price …

Among many risk assessment techniques, qualitative, semi-quantitative or quantitative, risk matrix is a common tool to … assess risk by allocating frequency and consequence of an accident to one of the pre divided frequency and consequence … categories. However, since there is no standardized way to define these categories, risk matrix with its strength of being …