The Cross-Sectional Intrinsic Entropy-A Comprehensive Stock Market Volatility Estimator.

cross-sectional study intrinsic entropy stock market volatility estimator

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
29 Apr 2022
Historique:
received: 21 03 2022
revised: 26 04 2022
accepted: 26 04 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

To take into account the temporal dimension of uncertainty in stock markets, this paper introduces a cross-sectional estimation of stock market volatility based on the intrinsic entropy model. The proposed cross-sectional intrinsic entropy (

Identifiants

pubmed: 35626508
pii: e24050623
doi: 10.3390/e24050623
pmc: PMC9141796
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jan;73(1 Pt 1):011105
pubmed: 16486120
Entropy (Basel). 2021 Apr 19;23(4):
pubmed: 33921771

Auteurs

Claudiu Vințe (C)

Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania.

Marcel Ausloos (M)

School of Business, Brookfield, University of Leicester, Leicester LE2 1RQ, UK.
Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010374 Bucharest, Romania.
GRAPES (Group of Researchers for Applications of Physics in Economy and Sociology), 483 Rue de la Belle Jardiniere, B-4031 Liege, Belgium.

Classifications MeSH