In this work, we evaluate the exposure of Italian regions to the risk associated with the spread of COVID-19 through a two-step value chain approach. First, we estimate the degree of participation of Italian regions in a plurality of value chains linked to consumption, investment and exports. We...

We build an agent-based model to study how the interplay between low- and high frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt...

We build an agent-based model to study how the interplay between low- and high frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt...

This paper extends the endogenous-growth agent-based model in Fagiolo& Dosi (2003) to study the finance-growth nexus. We explore industries where firms produce a homogeneous good using existing technologies, perform R&D activities to introduce new techniques, and imitate the most productive...

We build an agent-based model to study how the interplay between low- and high- frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt...

We build an agent-based model to study how the interplay between low- and high- frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt...