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researcher

M. Denys

10 papers hereh-index 8346 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author3
  • middle author5

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • q-fin.ST4
  • astro-ph.IM2
  • physics.flu-dyn2
  • astro-ph.CO1
  • cond-mat.soft1
same name
  • M. Denys — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132023
most citedA standard siren measurement of the Hubble constant from GW170817 without the electromagnetic counterpart

239 citations · 328 across the 10 of their papers we have counts for

collaborators
Showing q-fin.STShow all

4 papers · 1 filter

q-fin.ST2020★ 1 cited

Model of cunning agents

Mateusz Denys

A numerical agent-based spin model of financial markets, based on the Potts model from statistical mechanics, with a novel interpretation of the spin variable (as regards financial…

q-fin.ST2015★ 38 cited

Universality of market superstatistics

Mateusz Denys, Maciej Jagielski, Tomasz Gubiec +2

We use a continuous-time random walk (CTRW) to model market fluctuation data from times when traders experience excessive losses or excessive profits. We analytically derive "super…

q-fin.ST2014★ 1 cited

Empirical symptoms of catastrophic bifurcation transitions on financial markets: A phenomenological approach

M. Kozłowska, T. Gubiec, T. R. Werner +4

The principal aim of this work is the evidence on empirical way that catastrophic bifurcation breakdowns or transitions, proceeded by flickering phenomenon, are present on notoriou…

q-fin.ST2013★ 1 cited

Reinterpretation of Sieczka-Hołyst financial market model

Mateusz Denys, Tomasz Gubiec, Ryszard Kutner

In this work we essentially reinterpreted the Sieczka-Hołyst (SH) model to make it more suited for description of real markets. For instance, this reinterpretation made it possible…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.