Estimation of GARCH models can be simplified by augmenting quasi-maximum likelihood (QML) estimation with variance targeting, which reduces the degree of parameterization and facilitates estimation. We compare the two approaches and investigate, via simulations, how non-normality features of the...

We present a simple approach to forecasting conditional probability distributions of asset returns. We work with a parsimonious specification of ordered binary choice regression that imposes a connection on sign predictability across different quantiles. The model forecasts the future...

We propose a new procedure for estimating a dynamic joint distribution of a group of assets in a sequential manner starting from univariate marginals, continuing with pairwise bivariate distributions, then with triplewise trivariate distributions, etc., until the joint distribution for the whole...