Sanctions as a Catalyst for Russia's and China's Balance of Trade: Business Opportunity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00001957" target="_blank" >RIV/75081431:_____/21:00001957 - isvavai.cz</a>
Result on the web
<a href="http://www.nasemore.com/wp-content/uploads/2018/11/11.-Hlatka-Bartuska.pdf" target="_blank" >http://www.nasemore.com/wp-content/uploads/2018/11/11.-Hlatka-Bartuska.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/jrfm14010036" target="_blank" >10.3390/jrfm14010036</a>
Alternative languages
Result language
angličtina
Original language name
Sanctions as a Catalyst for Russia's and China's Balance of Trade: Business Opportunity
Original language description
The study is based on a highly topical sophisticated model of neural networks, which provides clear results confirming the unintended positive effect. The time series and aggregated data became inputs into multilayer perceptron networks, while the methodology used enabled eliminating of both too large averaging and extreme fluctuations of the equalized time series. Out of 10,000 networks created for each variable and each time lag, five showing the best characteristics given by correlation coefficients and absolute residual sums are retained.
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
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Risk and Financial Management
ISSN
1911-8066
e-ISSN
1911-8074
Volume of the periodical
14
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
26
Pages from-to
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UT code for WoS article
000610346800001
EID of the result in the Scopus database
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