This paper investigates whether risks associated with time-varying arrival of jumps and their effect on the dynamics of higher moments of returns are priced in the conditional mean of daily market excess returns. We find that jumps and jump dynamics are significantly related to the market equity...

In this paper we extend the parametric, asymmetric, stochastic volatility model (ASV), where returns are correlated with volatility, by flexibly modeling the bivariate distribution of the return and volatility innovations nonparametrically. Its novelty is in modeling the joint, conditional,...

Acquired wisdom has it that the allocation of pollution rights to firms hinders their willingness to undertake uncertain R&D projects for environmental-friendly technologies. We revisit this issue in a model where firms strategically choose whether to participate in a lottery to attain pollution...

This paper proposes new dynamic component models of returns and realized covariance (RCOV) matrices based on time-varying Wishart distributions. Bayesian estimation and model comparison is conducted with a range of multivariate GARCH models and existing RCOV models from the literature. The main...

Many economic models (such as the new-Keynesian Phillips curve, NKPC) include expected future values, often estimated after replacing the expected value by the actual future outcome, using Instrumental Variables or Generalized Method of Moments. Although crises, breaks and regime shifts are...

We examine the relationship between fiscal deficits and per-capita income growth in a panel of 28 European countries, allowing for perceived risks, in terms of fiscal sustainability, associated with additional government spending. Such risks are proxied by the conditional variability of...

This paper contributes to the crime literature by exploring how the crime-uncertainty interaction impacts on economic growth. Using a panel of 25 countries over the period 1991-2007, we find evidence suggesting that increased crime has an asymmetric effect on growth depending on the future...

We extend previous work on the sustainability of the government's intertemporal budget constraint by allowing for non-linear adjustment of the fiscal variables, conditional on (i) the sign of budgetary disequilibria and (ii) the phase of the economic cycle. Further, our endogenously estimated...

High dimensional general unrestricted models (GUMs) may include important individual determinants, many small relevant effects, and irrelevant variables. Automatic model selection procedures can handle more candidate variables than observations, allowing substantial dimension reduction from GUMs...

This paper proposes a Bayesian nonparametric modeling approach for the return distribution in multivariate GARCH models. In contrast to the parametric literature the return distribution can display general forms of asymmetry and thick tails. An infinite mixture of multivariate normals is given a...