We conduct an extensive empirical analysis of VIX derivative valuation models before, during and after the 2008-2009 financial crisis. Since the restrictive mean reversion and heteroskedasticity features of existing models yield large distortions during the crisis, we propose generalisations...

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum...

We document a rise and fall of the natural interest rate (r*) for several advanced economies, which starts increasing in the 1960's and peaks around the end of the 1980's. We reach this conclusion after showing that the Laubach and Williams (2003) model cannot estimate r* accurately when either...

We document a rise and fall of the natural interest rate (r*) for several advanced economies, which starts increasing in the 1960's and peaks around the end of the 1980's. We reach this conclusion after showing that the Laubach and Williams (2003) model cannot estimate r* accurately when either...

We make two complementary contributions to efficiently estimate dynamic factor models: a frequency domain EM algorithm and a swift iterated indirect inference procedure for ARMA models with no asymptotic efficiency loss for any finite number of iterations. Although our procedures can estimate...

We derive Lagrange Multiplier and Likelihood Ratio specifi cation tests for the null hypotheses of multivariate normal and Student t innovations using the Generalised Hyperbolic distribution as our alternative hypothesis. We decompose the corresponding Lagrange Multiplier-type tests into...

We show that the distribution of any portfolio whose components jointly follow a location-scale mixture of normals can be characterised solely by its mean, variance and skewness. Under this distributional assumption, we derive the mean-variance-skewness frontier in closed form, and show that it...