Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction

P.R.L. Alves

Open source

DOI: 10.1016/j.matcom.2022.07.026
Published: 2022-12
Container: Mathematics and Computers in Simulation
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.matcom.2022.07.026,
  title = {Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction},
  author = {P.R.L. Alves},
  year = {2022},
  journal = {Mathematics and Computers in Simulation},
  doi = {10.1016/j.matcom.2022.07.026},
  url = {https://doi.org/10.1016/j.matcom.2022.07.026}
}

RIS

TY  - JOUR
TI  - Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction
AU  - P.R.L. Alves
PY  - 2022
JO  - Mathematics and Computers in Simulation
DO  - 10.1016/j.matcom.2022.07.026
UR  - https://doi.org/10.1016/j.matcom.2022.07.026
ER  -

APA

Alves, P. (2022). Quantifying chaos in stock markets before and during COVID-19 pandemic from the phase space reconstruction. Mathematics and Computers in Simulation. https://doi.org/10.1016/j.matcom.2022.07.026

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crossref · retrieved 2026-09-25T01:22:58.747Z