Matches in SemOpenAlex for { <https://semopenalex.org/work/W2908995074> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2908995074 endingPage "16" @default.
- W2908995074 startingPage "16" @default.
- W2908995074 abstract "Crisis periods present quite a significant moment for financial markets. Considering not losing and changing the crisis periods into opportunities, forecasts of share prices during these periods have an importance for the investors. In this study, daily closing prices of Borsa Istanbul National 100 index during the three big crisis periods, as 1994, 2001, and 2008, have been tried to be forecasted, by using artificial neural networks. As a result of this study, it is determined that in the forecasts of Borsa Istanbul, artificial neural networks show high performance. This result was proved by both comparing the values that occurred and forecasted on the graphics, and Mean Absolute Percentage Error (MAPE) calculations." @default.
- W2908995074 created "2019-01-25" @default.
- W2908995074 creator A5003676180 @default.
- W2908995074 creator A5014728489 @default.
- W2908995074 date "2014-09-30" @default.
- W2908995074 modified "2023-09-27" @default.
- W2908995074 title "Forecast Share Prices with Artificial Neural Network in Crisis Periods" @default.
- W2908995074 cites W130167087 @default.
- W2908995074 cites W1767279340 @default.
- W2908995074 cites W2017812666 @default.
- W2908995074 cites W2023959308 @default.
- W2908995074 cites W2032771991 @default.
- W2908995074 cites W2059852492 @default.
- W2908995074 cites W2123513648 @default.
- W2908995074 cites W2183822521 @default.
- W2908995074 cites W2306311454 @default.
- W2908995074 cites W2336487760 @default.
- W2908995074 cites W2414168103 @default.
- W2908995074 cites W3123909942 @default.
- W2908995074 cites W3200473828 @default.
- W2908995074 cites W2786547452 @default.
- W2908995074 doi "https://doi.org/10.20491/isader.2014315938" @default.
- W2908995074 hasPublicationYear "2014" @default.
- W2908995074 type Work @default.
- W2908995074 sameAs 2908995074 @default.
- W2908995074 citedByCount "2" @default.
- W2908995074 countsByYear W29089950742015 @default.
- W2908995074 countsByYear W29089950742022 @default.
- W2908995074 crossrefType "journal-article" @default.
- W2908995074 hasAuthorship W2908995074A5003676180 @default.
- W2908995074 hasAuthorship W2908995074A5014728489 @default.
- W2908995074 hasBestOaLocation W29089950741 @default.
- W2908995074 hasConcept C149782125 @default.
- W2908995074 hasConcept C154945302 @default.
- W2908995074 hasConcept C162324750 @default.
- W2908995074 hasConcept C41008148 @default.
- W2908995074 hasConcept C50644808 @default.
- W2908995074 hasConceptScore W2908995074C149782125 @default.
- W2908995074 hasConceptScore W2908995074C154945302 @default.
- W2908995074 hasConceptScore W2908995074C162324750 @default.
- W2908995074 hasConceptScore W2908995074C41008148 @default.
- W2908995074 hasConceptScore W2908995074C50644808 @default.
- W2908995074 hasIssue "3" @default.
- W2908995074 hasLocation W29089950741 @default.
- W2908995074 hasOpenAccess W2908995074 @default.
- W2908995074 hasPrimaryLocation W29089950741 @default.
- W2908995074 hasRelatedWork W1973538245 @default.
- W2908995074 hasRelatedWork W2030617584 @default.
- W2908995074 hasRelatedWork W2056210026 @default.
- W2908995074 hasRelatedWork W2066824604 @default.
- W2908995074 hasRelatedWork W2161519270 @default.
- W2908995074 hasRelatedWork W2386387936 @default.
- W2908995074 hasRelatedWork W2899084033 @default.
- W2908995074 hasRelatedWork W331667891 @default.
- W2908995074 hasRelatedWork W4362499384 @default.
- W2908995074 hasRelatedWork W1629725936 @default.
- W2908995074 hasVolume "6" @default.
- W2908995074 isParatext "false" @default.
- W2908995074 isRetracted "false" @default.
- W2908995074 magId "2908995074" @default.
- W2908995074 workType "article" @default.