The Generalization of One-sided Distributions with Additional Smoothing for Financial Asset Returns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F20%3A00345323" target="_blank" >RIV/68407700:21340/20:00345323 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Generalization of One-sided Distributions with Additional Smoothing for Financial Asset Returns
Original language description
An appropriate model of the distribution of returns of exchange rates is important pricing, risk management decisions, and portfolio allocations. Several models have been applied to them so far. However, the results have not been totally satisfactory. To amend the current state, we propose the use of a novel distribution for modeling the returns of exchange rates. This distribution originates from generalized gamma distribution which is regularized and symmetrized to make it fit for return modeling. After these adjustment, the distribution is smooth, differentiable and defined in the whole real domain. It can also capture the well-known heavy tail property of financial asset returns. The suit-ability of this model is verified on the returns of USD/EUR exchange rate. Verification is performed in an innovative way so that the results can be usable in practical financial engineering. The results of the testing show a promising applicability perspective of this novel distribution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proccedings of 38th Int. Conf. MME 2020
ISBN
978-80-7509-734-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
326-331
Publisher name
Provozně ekonomická fakulta
Place of publication
Brno
Event location
Brno
Event date
Sep 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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