Predicting the euro to Czech crown exchange rate

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002599" target="_blank" >RIV/75081431:_____/23:00002599 - isvavai.cz</a>

Výsledek na webu

<a href="https://web.s.ebscohost.com/abstract?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=18047890&AN=164806504&h=Xe8nGir8Y8nOwRIgGgvMC329TMTKfgTpYtNqklGXIDuN65bcHNClAkm8RzKKN8wLRDvStOAWE%2fg8QELgQme%2bTw%3d%3d&crl=c&resultNs=AdminWebAuth&resultLoc" target="_blank" >https://web.s.ebscohost.com/abstract?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=18047890&AN=164806504&h=Xe8nGir8Y8nOwRIgGgvMC329TMTKfgTpYtNqklGXIDuN65bcHNClAkm8RzKKN8wLRDvStOAWE%2fg8QELgQme%2bTw%3d%3d&crl=c&resultNs=AdminWebAuth&resultLoc</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Predicting the euro to Czech crown exchange rate

Popis výsledku v původním jazyce

This paper explores the prediction of the exchange rate of the Czech Crown and its market position relative to larger currencies such as the Euro. The study examines the development of the EUR/CZK exchange rate from 2003 to 2023 using neural networks, revealing its volatile tendencies over twenty years. The analysis shows that the exchange rate fluctuated between 22 and 34 without a prolonged period of stagnation. Furthermore, a prediction for the exchange rate in the months of April, May, and June 2023 was conducted, indicating that most neural networks produced similar values and projected no significant increase or decrease. The paper emphasizes that the algorithm of neural networks relies on past values, implying that the actual exchange rate may differ significantly from the predicted outcome.

Název v anglickém jazyce

Predicting the euro to Czech crown exchange rate

Popis výsledku anglicky

This paper explores the prediction of the exchange rate of the Czech Crown and its market position relative to larger currencies such as the Euro. The study examines the development of the EUR/CZK exchange rate from 2003 to 2023 using neural networks, revealing its volatile tendencies over twenty years. The analysis shows that the exchange rate fluctuated between 22 and 34 without a prolonged period of stagnation. Furthermore, a prediction for the exchange rate in the months of April, May, and June 2023 was conducted, indicating that most neural networks produced similar values and projected no significant increase or decrease. The paper emphasizes that the algorithm of neural networks relies on past values, implying that the actual exchange rate may differ significantly from the predicted outcome.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Ad Alta - Journal of Interdisciplinary Research

ISSN

1804-7890

e-ISSN

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Svazek periodika

13

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

4

Strana od-do

126-129

Kód UT WoS článku

001027245000021

EID výsledku v databázi Scopus

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