We propose a Reinforcement Learning (RL) algorithm for generating a trading strategy in a realistic setting, that includes transaction costs and factors driving the asset dynamics. We benchmark our algorithm against the analytical optimal solution, available when factors are linear and...

Aggregate wages display little cyclicality compared to what a standard model would predict. Wage rigidities are an obvious candidate, but the existing literature has emphasized the need to take into account the growing importance of worker composition effects, especially during downturns. This...

Aggregate wages display little cyclicality compared to what a standard model would predict. Wage rigidities are an obvious candidate, but the existing literature has emphasized the need to take into account the growing importance of worker composition effects, especially during downturns. This...

Italian Abstract: All'insorgere della crisi, il sistema italiano di ammortizzatori sociali si caratterizzava per una elevata eterogeneità interna – con garanzie di base estremamente ridotte e schemi li-mitati ad alcuni settori e imprese, con durate dei sussidi fortemente variabili in funzione...

Aggregate wages display little cyclicality compared to what a standard model would predict. Wage rigidities are an obvious candidate but a recent strand of the literature has emphasized the need to take into account the growing importance of worker composition effects during downturns. With...

Aggregate wages display little cyclicality compared to what a standard model would predict. Wage rigidities are an obvious candidate but a recent strand of the literature has emphasized the need to take into account the growing importance of worker composition effects during downturns. With...

Aggregate wages display little cyclicality compared to what a standard model would predict. Wage rigidities are an obvious candidate but a recent strand of the literature has emphasized the need to take into account the growing importance of worker composition effects during downturns. With...