Carlo Campajola

Summary

Carlo Campajola earned a M.Sc. degree in 2015 from the International Master Programme in Physics of Complex Systems jointly organized by Politecnico di Torino, the International School of Advanced Studies (SISSA) and Campus Paris Saclay. He then started a PhD in Quantitative Finance at the Scuola Normale Superiore in Pisa, and is now a research fellow at the same institution while still completing his PhD work, working on information spreading and herding behaviour in financial markets under the supervision of Prof. Fabrizio Lillo and Dr. Daniele Tantari. Currently he is a guest researcher at the URPP Social Networks group, collaborating with Prof. Dr. Claudio J. Tessone on research on the micro-economical properties of the Bitcoin and cryptocurrency economies and on the detection of speculative and irrational behaviour by market players.

 

Research interests

  • Behavioral finance
  • Market microstructure
  • High-frequency finance
  • Opinion dynamics
  • Network theory
  • Inference and optimization
  • Complex systems
  • Cryptocurrencies and blockchain technologies

Publications

Carlo Campajola, Fabrizio Lillo, Daniele Tantari, "Inference of the Kinetic Ising Model with heterogeneous missing data", arXiv preprint arXiv:1809.08843, under review

Alexandre Bovet, Carlo Campajola, Jorge F. Lazo, Francesco Mottes, Iacopo Pozzana, Valerio Restocchi, Pietro Saggese, Nicolò Vallarano, Tiziano Squartini, Claudio J. Tessone, "Network-based indicators of Bitcoin bubbles" arXiv preprint arXiv:1805.04460

 

Presentations

Inference of the Kinetic Ising Model with heterogeneous missing data

2018 Conference on Complex Systems, Thessaloniki (Sep. 2018)

Statistical Physics models to detect herding behaviour in financial markets

2018 Spring College on the Physics of Complex Systems, Trieste (Feb. 2018)