Publication detail

USE OF ARTIFICIAL NEURAL NETWORK FOR EUR\CZK PAIR PREDICTIONS

KUDELÁS, S.

Original Title

USE OF ARTIFICIAL NEURAL NETWORK FOR EUR\CZK PAIR PREDICTIONS

Type

journal article - other

Language

English

Original Abstract

The paper examines the use of artificial neural network for EUR\CZK currency pair prediction. The article is focused on the benefit that a company can get using ANN model in decision making process while exchanging EUR\CZK according to its import/export profile. ANN model is based on fundaments of technical analysis and uses time-series values OHLC as input. The results of research showed that the ANN model can help companies to save their revenues or lower the loss created in timing of exchange currencies. The analysis was realized taking into account the period of historical prices from 14.1.2013 to 19.3.2014.

Keywords

artificial neural network, EUR\CZK, exchange rate, model, forecasting

Authors

KUDELÁS, S.

RIV year

2014

Released

5. 6. 2014

Publisher

Mykolas Romeris University

Location

Vilnius

ISBN

2029-7378

Periodical

1st international scientific concerence "Practice and research in private public sector-11"

Year of study

14

Number

4

State

Republic of Lithuania

Pages from

256

Pages to

262

Pages count

7

URL

http://prpps.mruni.eu/wp-content/uploads/2014/06/PRPPS-2014-PROCEEDINGS.pdf

BibTex

@article{BUT108145,
  author="Stanislav {Kudelás}",
  title="USE OF ARTIFICIAL NEURAL NETWORK FOR EUR\CZK PAIR PREDICTIONS",
  journal="1st international scientific concerence {"}Practice and research in private public sector-11{"}",
  year="2014",
  volume="14",
  number="4",
  pages="256--262",
  issn="2029-7378",
  url="http://prpps.mruni.eu/wp-content/uploads/2014/06/PRPPS-2014-PROCEEDINGS.pdf"
}