Fuzzy Logic Decision Support for Long-term Investing in the Financial Markets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F12%3APU99721" target="_blank" >RIV/00216305:26510/12:PU99721 - isvavai.cz</a>
Result on the web
<a href="http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=2&SID=U1hLc7@HFC65e2CocHJ&page=1&doc=4" target="_blank" >http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=2&SID=U1hLc7@HFC65e2CocHJ&page=1&doc=4</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Logic Decision Support for Long-term Investing in the Financial Markets
Original language description
This paper discusses the use of fuzzy logic and modeling as a decision support for long-term investment decisions in the financial markets. A simple model is proposed to calculate recommendations for investors. This research required thorough analysis ofhistorical data that lead to the discovery of interesting dependencies between the Dow Jones index, currency pairs, oil price and the VIX volatility index. The fuzzy model uses several input variables that are used to simplify the complex conditions inthe financial markets. The purpose of the model is to evaluate the current market situation, compare the current situation to similar situations in the past and to provide investment recommendations for long-term future investing.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Intelligent Systems and Computing
ISSN
2194-5357
e-ISSN
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Volume of the periodical
192
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
113-123
UT code for WoS article
000313767300014
EID of the result in the Scopus database
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