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Compare predicting the stock price companies in different time series: Tehran Stock Exchange

Academic Journal of Accounting and Economic Researches

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Title Compare predicting the stock price companies in different time series: Tehran Stock Exchange
 
Creator Hashemi , Hamid Ravanpak Noodezh, Seyed Nima Valinia, Masoume
 
Description http://dx.doi.org/10.20286/ajaer-0502251In recent years, using new methods for predicting stock price and stock index at Tehran Stock Exchange due to acceptable accuracy, has a large fans. The research population is Tehran Stock Exchange and National Iranian Copper Industries Company is considered as research sample. On this basis, the collection of data related to workdays of Tehran Stock Exchange within 5 years (2010 to 2014) was collected, and was divided to two sets of training data (2010 to end of 2013) and testing (2014). Meanwhile to the initial fitness of data and drawing graphs, the software of Excel2010 is used, to describe the collected data and also compare the fitted model, SPSS software is used.
 
Publisher Academic Journal of Accounting and Economic Researches ISSN 2333-0783
 
Contributor
 
Date 2016-05-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://worldofresearches.com/ojs-2.4.4-1/index.php/ajaer/article/view/251
10.20286/ajaer-0502251
 
Source Academic Journal of Accounting and Economic Researches ISSN 2333-0783; Vol 5, No 2 (2016): April 2016
2333-0783
2375-7493
 
Language eng
 
Relation http://worldofresearches.com/ojs-2.4.4-1/index.php/ajaer/article/view/251/184
 
Rights Copyright (c) 2016 Academic Journal of Accounting and Economic Researches ISSN 2333-0783
http://creativecommons.org/licenses/by-nc/4.0