We consider a situation in which the forecaster has available M individual forecasts of a univariate target variable. We propose a 3-step procedure designed to exploit the interrelationships among the M forecast-error series (estimated from a large time-varying parameter VAR model of the errors,...

This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local estimation and the combining of explicit...

This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local estimation and the combining of explicit...

We propose a shrinkage and selection methodology specifically designed for network inference using high dimensional data through a regularised linear regression model with Spike-and-Slab prior on the parameters. The approach extends the case where the error terms are heteroscedastic, by adding...

This paper uses a novel empirical strategy to present empirical estimates of the effect of an exogenous shock to distribution on demand and accumulation for the US economy from 1973 to 2018. We use recursive vector autoregressions to identify the impact of shocks to the wage share. We impose...

We investigate how oil supply shocks are transmitted to U.S. economic activity, consumer prices, and interest rates. Using a structural VAR approach with a combination of sign and zero restrictions, we distinguish between supply and demand channels in the transmission of exogenous changes in...

We propose a shrinkage and selection methodology specifically designed for network inference using high dimensional data through a regularised linear regression model with Spike-and-Slab prior on the parameters. The approach extends the case where the error terms are heteroscedastic, by adding...

This paper uses a novel empirical strategy to present empirical estimates of the effect of an exogenous shock to distribution on demand and accumulation for the US economy from 1973 to 2018. We use recursive vector autoregressions to identify the impact of shocks to the wage share. We impose...

We investigate how oil supply shocks are transmitted to U.S. economic activity, consumer prices, and interest rates. Using a structural VAR approach with a combination of sign and zero restrictions, we distinguish between supply and demand channels in the transmission of exogenous changes in...