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20132026
most citedThe Physics of Financial Networks

283 citations · 802 across the 44 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.SI2021

Consensus formation on heterogeneous networks

Edoardo Fadda, Junda He, Claudio Tessone +1

Reaching consensus -- a macroscopic state where the system constituents display the same microscopic state -- is a necessity in multiple complex socio-technical and techno-economic…

q-fin.TR2021★ 12 cited

Reinforcement Learning for Systematic FX Trading

Gabriel Borrageiro, Nick Firoozye, Paolo Barucca

We explore online inductive transfer learning, with a feature representation transfer from a radial basis function network formed of Gaussian mixture model hidden processing units…

econ.GN2021★ 12 cited

A generative model for age and income distribution

Fatih Ozhamaratli, Oleg Kitov, Paolo Barucca

Each individual in society experiences an evolution of their income during their lifetime. Macroscopically, this dynamics creates a statistical relationship between age and income…

cs.LG2021

Stochastic Recurrent Neural Network for Multistep Time Series Forecasting

Zexuan Yin, Paolo Barucca

Time series forecasting based on deep architectures has been gaining popularity in recent years due to their ability to model complex non-linear temporal dynamics. The recurrent ne…

physics.soc-ph2021★ 283 cited

The Physics of Financial Networks

Marco Bardoscia, Paolo Barucca, Stefano Battiston +6

The field of Financial Networks is a paramount example of the novel applications of Statistical Physics that have made possible by the present data revolution. As the total value o…

cs.CE2021★ 1 cited

Online Learning with Radial Basis Function Networks

Gabriel Borrageiro, Nick Firoozye, Paolo Barucca

Financial time series are characterised by their nonstationarity and autocorrelation. Even if these time series are differenced, technically ensuring their stationarity, they exper…