For many applications, analyzing multiple response variables jointly is desirable because of their dependency, and valuable information about the distribution can be retrieved by estimating quantiles. In this paper, we propose a multi-task quantile regression method that exploits the potential...

A multivariate quantile regression model with a factor structure is proposed to study data with many responses of interest. The factor structure is allowed to vary with the quantile levels, which makes our framework more flexible than the classical factor models. The model is estimated with the...

This paper examines the cross-border monetary policy spillovers of the US, Japan, the Euro Area, the UK, Canada and China using a quantile vector autoregression (QVAR) model-based spillover estimation approach. We conclude that: first, the US is the most important net transmitter of monetary...