We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...

We study how monetary policy and risk shocks affect asset prices in the US, the euro area, and Japan, differentiating between "traditional" monetary policy and communication events, each decomposed into "pure" and information shocks. Communication shocks from the US spill over to risk in the...

We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...