I propose a framework for drawing inferences about an unobserved variable using qualitative and quantitative information. Using this framework, I study the timing and persistence of monetary policy regimes and compute probabilistic measures of the qualitative indicator's reliability. These...

Evidence-based policy re global warming is best relying on a relevant sample of data. Showing close correlation between CO2 and temperature over hundreds of thousands of years is irrelevant today. We choose a sample of annual data from 1959 to-date to provide some statistically robust stylized...

We study a new class of three-factor affine option pricing models with interdependent volatilitydynamics and a stochastic skewness component unrelated to volatility shocks. Theseproperties are useful in order (i) to model a term structure of implied volatility skews moreconsistent with the data...

This paper developes a new methodology to measure conditional dependency between time series each driven by complicated marginal distributions.

This paper employs an augmented version of the UECCC GARCH specificationproposed in Conrad and Karanasos (2010) which allows for lagged in-mean effects,level effects as well as asymmetries in the conditional variances. In this unifiedframework we examine the twelve potential intertemporal...

This paper employs the unrestricted extended constant conditional correlationGARCH specification proposed in Conrad and Karanasos (2008) to examine theintertemporal relationship between the uncertainties of in°ation and output growthin the US. We find that inflation uncertainty effects output...

We propose a new multivariate GARCH model with Dynamic Conditional Correlations that extends previous models by admitting multivariate thresholds in conditional volatilitiesand correlations. The model estimation is feasible in large dimensions and the positive definiteness of the conditional...