Dr. Carlo Campajola

Member

Dr Carlo Campajola holds a PhD cum laude in quantitative finance from the Scuola Normale Superiore (Pisa, Italy), which he earned working on models of discrete autoregressive processes intersecting methods from statistical physics and financial econometrics. He previously graduated from the International Master in Physics of Complex Systems organised by the Polytechnic of Torino, the International School for Advanced Studies in Trieste and the Campus Paris Saclay in Paris.

His current research activity, together with Prof. Dr Claudio J. Tessone, focuses on the analysis of cryptocurrencies from a complex systems perspective, with particular attention to the characterisation of individual properties of economic agents which affect the collective functioning of the system. Specific topics include analysis of transaction networks, modelling of the velocity of tokens and statistical methods for the detection of price manipulations.

Research Topics

Related publications

Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising Model

Authors: Campajola C., Di Gangi D., Lillo F., Tantari D

No summary available

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Unveiling the relation between herding and liquidity with trader lead-lag networks

Authors: Campajola C., Lillo F., Tantari D

Quantitative Finance, 2020 …

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The evolving liaisons between the transaction networks of Bitcoin and its price dynamics

Authors: Bovet A., Campajola C., Mottes F., Restocchi V., Vallarano N., Squartini T., Tessone C.J.

No summary available

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Network-based indicators of Bitcoin bubbles

Authors: Alexandre Bovet, Carlo Campajola, Jorge F. Lazo, Francesco Mottes, Iacopo Pozzana, Valerio Restocchi, Pietro Saggese, Nicoló Vallarano, Tiziano Squartini, Claudio J. Tessone

arXiv:1805.04460 …

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Related Presentations

  • 2021 UZH – UTokyo – Tokyo NII zoomshop “MicroVelocity – rethinking the velocity of money for digital currency systems”
  • 2020 Complexity Meets Finance Workshop – NetSci2020 (Sept 2020) “Money walks – rethinking the velocity of money for cryptocurrency systems”