Cargando…

Invited article by M. Gidea Extreme events and emergency scales()

An event is extreme if its magnitude exceeds the threshold. A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon’s entropy calculated on the probability that the threshold...

Descripción completa

Detalles Bibliográficos
Autores principales: Smirnov, Veniamin, Ma, Zhuanzhuan, Volchenkov, Dimitri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Center for Nonlinear Science, Peking University 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243033/
https://www.ncbi.nlm.nih.gov/pubmed/32501383
http://dx.doi.org/10.1016/j.cnsns.2020.105350
_version_ 1783537350773571584
author Smirnov, Veniamin
Ma, Zhuanzhuan
Volchenkov, Dimitri
author_facet Smirnov, Veniamin
Ma, Zhuanzhuan
Volchenkov, Dimitri
author_sort Smirnov, Veniamin
collection PubMed
description An event is extreme if its magnitude exceeds the threshold. A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon’s entropy calculated on the probability that the threshold changes at any given time. If the amount of data is not sufficient, an observer is in the state of Lewis Carroll’s Red Queen who said “When you say hill, I could show you hills, in comparison with which you’d call that a valley”. If we have enough data, the uncertainty curve peaks at two values clearly separating the magnitudes of events into three emergency scales: subcritical, critical, and extreme. Our approach to defining the emergency scale is validated by 39 years of Standard and Poor’s 500 (S&P500) historical data.
format Online
Article
Text
id pubmed-7243033
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Center for Nonlinear Science, Peking University
record_format MEDLINE/PubMed
spelling pubmed-72430332020-05-22 Invited article by M. Gidea Extreme events and emergency scales() Smirnov, Veniamin Ma, Zhuanzhuan Volchenkov, Dimitri Commun Nonlinear Sci Numer Simul Invited Article An event is extreme if its magnitude exceeds the threshold. A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon’s entropy calculated on the probability that the threshold changes at any given time. If the amount of data is not sufficient, an observer is in the state of Lewis Carroll’s Red Queen who said “When you say hill, I could show you hills, in comparison with which you’d call that a valley”. If we have enough data, the uncertainty curve peaks at two values clearly separating the magnitudes of events into three emergency scales: subcritical, critical, and extreme. Our approach to defining the emergency scale is validated by 39 years of Standard and Poor’s 500 (S&P500) historical data. Center for Nonlinear Science, Peking University 2020-11 2020-05-22 /pmc/articles/PMC7243033/ /pubmed/32501383 http://dx.doi.org/10.1016/j.cnsns.2020.105350 Text en Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Invited Article
Smirnov, Veniamin
Ma, Zhuanzhuan
Volchenkov, Dimitri
Invited article by M. Gidea Extreme events and emergency scales()
title Invited article by M. Gidea Extreme events and emergency scales()
title_full Invited article by M. Gidea Extreme events and emergency scales()
title_fullStr Invited article by M. Gidea Extreme events and emergency scales()
title_full_unstemmed Invited article by M. Gidea Extreme events and emergency scales()
title_short Invited article by M. Gidea Extreme events and emergency scales()
title_sort invited article by m. gidea extreme events and emergency scales()
topic Invited Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243033/
https://www.ncbi.nlm.nih.gov/pubmed/32501383
http://dx.doi.org/10.1016/j.cnsns.2020.105350
work_keys_str_mv AT smirnovveniamin invitedarticlebymgideaextremeeventsandemergencyscales
AT mazhuanzhuan invitedarticlebymgideaextremeeventsandemergencyscales
AT volchenkovdimitri invitedarticlebymgideaextremeeventsandemergencyscales