no code implementations • 31 Jan 2022 • Carlo Campajola, Marco D'Errico, Claudio J. Tessone
We propose a novel framework to analyse the velocity of money in terms of the contribution (MicroVelocity) of each individual agent, and to uncover the distributional determinants of aggregate velocity.
no code implementations • 24 Aug 2020 • Carlo Campajola, Fabrizio Lillo, Piero Mazzarisi, Daniele Tantari
Binary random variables are the building blocks used to describe a large variety of systems, from magnetic spins to financial time series and neuron activity.
Statistical Mechanics Econometrics Data Analysis, Statistics and Probability
1 code implementation • 30 Jul 2020 • Carlo Campajola, Domenico Di Gangi, Fabrizio Lillo, Daniele Tantari
A common issue when analyzing real-world complex systems is that the interactions between the elements often change over time: this makes it difficult to find optimal models that describe this evolution and that can be estimated from data, particularly when the driving mechanisms are not known.
no code implementations • 3 May 2020 • Piero Mazzarisi, Silvia Zaoli, Carlo Campajola, Fabrizio Lillo
Identifying risk spillovers in financial markets is of great importance for assessing systemic risk and portfolio management.
no code implementations • 24 Sep 2019 • Carlo Campajola, Fabrizio Lillo, Daniele Tantari
We propose a method to infer lead-lag networks of traders from the observation of their trade record as well as to reconstruct their state of supply and demand when they do not trade.