Is technical analysis profitable? A neural network approach in the high-frequency FX Market
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A_____%2F03%3A11800026" target="_blank" >RIV/62156489:_____/03:11800026 - 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
Is technical analysis profitable? A neural network approach in the high-frequency FX Market
Original language description
This paper contributes to the area of research using neural networks to describe and forecast high-frequency foreign exchange rates. The objective of this study is to investigate whether technical indicators as inputs to a neural network can provide moreaccurate predicitons for future foreign exchange rate development. To test this idea feed-forward neural networks are examined to predict short-term time intervals of major currency pairs. The data set used in this study contains 15-minute time intervals of GBP/USD, JPY/USD and EUR/USD. The result indicate that the proportion of correct forecasts is higher when using technical indicators as inputs to neural networks than model without technical indicators.
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
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS
ISSN
1211-8516
e-ISSN
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Volume of the periodical
LI
Issue of the periodical within the volume
6
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
193-198
UT code for WoS article
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EID of the result in the Scopus database
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