Investment Instruments: The Power of Neural Networks in Predicting Gold Price Trends

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F24%3A00002765" target="_blank" >RIV/75081431:_____/24:00002765 - isvavai.cz</a>

Result on the web

<a href="https://ojs.wsb.edu.pl/index.php/fso/article/view/1157/754" target="_blank" >https://ojs.wsb.edu.pl/index.php/fso/article/view/1157/754</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Investment Instruments: The Power of Neural Networks in Predicting Gold Price Trends

Original language description

Precious metals, and especially gold, have been inextricably linked to the history of man-kind since time immemorial. In modern times, gold has become a key factor in interna- tional trade and the global economy. Berefore, for example, oil price fluctuations can be a predictor of gold price movements. Today, gold is seen as an independent financial asset that has become a popular tool for portfolio diversification, as well as a hedge against inflation. For this reason, this topic is considered to be very important and topical world-wide, attracting the attention of a wide range of people, both from the ranks of experts and the lay public.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50200 - Economics and Business

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Forum Scientiae Oeconomia

ISSN

2300-5947

e-ISSN

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Volume of the periodical

12

Issue of the periodical within the volume

1

Country of publishing house

PL - POLAND

Number of pages

24

Pages from-to

72-95

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85196715126