E-resources
Peer reviewed
Open access
-
Jakub Morkowski
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej, 03/2024, Volume: 28, Issue: 1Journal Article
The aim of the article is to check the accuracy of forecasts of neural networks on the currency market and the impact of fuzzy sets on their accuracy. The study presented in this article uses an original approach that considers the use of neural networks and fuzzy sets in the mechanism of investment decision making. The empirical study is based on projections of the three currency pairs of the Swiss franc, British pound, and the dollar against the euro. These currencies are forecasted using three different neural networks - ELM, MLP and LSTM, for ten different forecast horizons (from 1 to 10 days). In forecasting, neural networks use historical data, both for price levels and rates of return. The research carried out confirmed that the presented method is in many cases more accurate than the methods compared to it in this study
Author
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Shelf entry
Permalink
- URL:
Impact factor
Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.
Year | Impact factor | Edition | Category | Classification | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Select the library membership card:
If the library membership card is not in the list,
add a new one.
DRS, in which the journal is indexed
Database name | Field | Year |
---|
Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
---|
Source: Personal bibliographies
and: SICRIS
The material is available in full text. If you wish to order the material anyway, click the Continue button.