Renyi entropy based design of heavy tailed distribution for return of financial assets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F24%3A00374887" target="_blank" >RIV/68407700:21340/24:00374887 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.physa.2024.129531" target="_blank" >https://doi.org/10.1016/j.physa.2024.129531</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physa.2024.129531" target="_blank" >10.1016/j.physa.2024.129531</a>
Alternative languages
Result language
angličtina
Original language name
Renyi entropy based design of heavy tailed distribution for return of financial assets
Original language description
It is well-known that returns of financial assets exhibit heavy tail property and there has been no distribution which can reliably capture this characteristic so far. To contribute to the solution of this problem, we derive a new heavy tail distribution using the maximum entropy principle for Renyi entropy under the absolute moment constraints. Our newly derived distribution with two shape parameters forms a family of distributions. They are smooth, scaleable, symmetric and may be heavy tailed if their shape parameter attains the appropriate value. As a result, parameters of this distribution can be estimated by maximum likelihood estimation technique. The ability of the derived distribution to model the heavy tail property of financial assets is verified on a range of financial instruments. The results we obtained show that it can be a better option for modeling the returns of financial assets compared to other well-known heavy tailed distributions
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10700 - Other natural sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physica A: Statistical Mechanics and Its Applications
ISSN
0378-4371
e-ISSN
1873-2119
Volume of the periodical
637
Issue of the periodical within the volume
Březen
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
17
Pages from-to
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UT code for WoS article
001172352100001
EID of the result in the Scopus database
2-s2.0-85183105183